Oregon Green Light
CVO Evaluation
FINAL REPORT
Executive
Summary
Chris A. Bell
Transportation Research
Report No. 00-21
Transportation Research
Institute
Oregon State University
Corvallis, OR 97331
April 2001
This project was funded by the Oregon Department of Transportation (ODOT)
as a requirement for an Independent Evaluation through their ITS Partnership
Agreement with the Federal Highway Administration to deploy a mainline
preclearance system in the state of Oregon. The project was of five years
duration, and, was administered by ODOT’s Motor Carrier Transportation
Division. Oregon State University (OSU) Transportation Research Institute was
the prime contractor for the independent evaluation, with Chris Bell as the
principal investigator. The Center for Transportation Research and Education
(CTRE) at Iowa State University was a sub-contractor to OSU, with Bill McCall
as the principal investigator. Michael C. Walton of WHM Transportation
Engineering served as a consultant for several aspects of the evaluation.
The authors are indebted to the personnel of ODOT’s Motor Carrier
Transportation Division, who have provided information and data to the
evaluation team throughout the project. We are particularly indebted to Ken
Evert, Gregg Dal Ponte, Randal Thomas and David Fifer. Ken’s untimely death in
1998 meant that he did not see his vision completed. The evaluation team is
forever indebted to him for his support and for the opportunity to participate
in the deployment.
The contents of this report reflect the views of the authors who are
solely responsible for the facts and accuracy of the material presented. The
contents do not necessarily reflect the official views of the Oregon Department
of Transportation or the Federal Highway Administration. The report does not
constitute a standard, specification or regulation. The Oregon Department of
Transportation does not endorse products or manufacturers. Trademarks or
manufacturer names appear herein only because they are considered essential to
the subject of this document.
Links to Each Part of the Report
5. System Simulation & Fuel Test
9. Mainstreaming & Interoperability
This Report is the Executive Summary for the independent technical
evaluation of the Oregon Green Light CVO project. The Oregon Department of Transportation (ODOT) is near completion
of the implementation of their Intelligent Vehicle Highway System Strategic
Plan for Commercial Vehicle Operations (now referred to as ITS/CVO). Through Green Light, Oregon has installed
twenty-one mainline systems featuring
weigh-in-motion (WIM) devices and automatic vehicle identification (AVI) at the
major weigh stations and ports-of-entry in the state. In addition, certain sites have been equipped with safety
enhancements that regulate road conditions and speed. Examples are the Downhill
Speed Information System at Emigrant Hill, and the installation of weather
stations at three other locations.
The purpose of this report is to present a summary of the findings of
all the Detailed Test Plans conducted for the evaluation. The Detailed Test Plans were published in
1997, ”The Oregon ‘Green Light’ CVO Evaluation -Detailed Test Plans” [1]. Earlier documents providing essential
background to the Evaluation are the Evaluation Plan [2], and, Individual Test
Plans (ITP) [3].
Each of the tests conducted by the research team for the evaluation of
Green Light addressed one of five goals of the evaluation as documented in the
Evaluation Plan [2]. These are:
·
Assessment of
Safety
·
Assessment of
Productivity
·
Assessment of
User Acceptance
·
Assessment of
Mainstreaming Issues
·
Assessment of
Non-Technical Interoperability Issues
The objectives associated with each goal are given in detail in The
Oregon “Green Light” CVO Project - Individual
Test Plans (ITP) [3]. The
detailed test plan documents [1] expand on the information provided in the ITP
and provide in detail the activities planned for each evaluation measure.
The purpose of this Executive summary is to summarize the principal
findings from each Detailed Test Plan (DTP).
Each of the DTP’s is summarized in Exhibit 1-1.
As the evaluation progressed, some simplifications were made as it
became clear that some elements of Green Light would be modified or eliminated.
For example, objective 2.6 was eliminated because vision technology was
eliminated from ODOT’s plans. Also, a
major change was implemented for DTP #7 where a simulation tool was developed
to enable benefits of electronic screening to be evaluated. Simulation was
necessary because the evaluation was proceeding concurrently with deployment,
and, it was not possible to collect data that would enable measurement of
impacts. Because the impact of pre-screening on fuel consumption was also
determined using the simulation, that study (DTP #9) is reported with DTP #7.
Exhibit 1-2 shows a summary of the DTP’s that were completed.
The findings will be presented in Chapter 2, in the order of the
detailed test plans. A general discussion regarding the success of the Green
Light project is given in Chapter 4. Conclusions and Recommendations are given
in Chapter 4.
EXHIBIT 1-1 Summary of Detailed Test Plans as Planned
|
Detailed Test Plan |
Objective |
Measure |
Hypothesis / Assumption |
|
DTP #1 |
1.1 Determine change in safety compliance with
the Federal Motor Carrier Safety Regulations |
1.1.1 Proportion of compliant (with FMCSR)
trucks / carriers of total inspected and total processed per month. |
The proportion of compliant
trucks will eventually increase. |
|
|
|
1.1.2 Proportion of non-compliant (with FMCSR)
trucks-carriers of total inspected and total processed per month. |
The proportion of
non-compliant trucks will eventually decrease. |
|
DTP #2 |
1.2 Determine change in
truck behavior due to the Road Weather Information System |
1.2.1 Ratio of mean speed in inclement weather
to that in Agood@ weather, before &
after installation. |
Truck speeds will decrease
in inclement weather. |
|
DTP #3 |
|
1.2.2 Ratio of accidents before & after
installation if sufficient data exists. |
Accident risk will decrease
with better information available on weather conditions. |
|
DTP #4 |
1.3 Determine change in
truck behavior due to the Downhill Speed Information System |
1.3.1 Ratio of mean speed on downhill sections,
before & after installation. |
Mean speeds will decrease. |
|
DTP #5 |
|
1.3.2 Ratio of accidents before & after
installation if sufficient data exists. |
Accidents will decrease. |
|
DTP #4 |
|
1.3.3 Comparison of mean speeds with advisory
speeds |
Mean speeds will converge
towards advisory speeds. |
|
DTP #6 |
2.1 Determine changes in
tax administration costs |
2.1.1 Determine the change in the resources
required in the collection process, i.e., hardware,
software, staff etc. |
Tax collection will become
more automatic and costs reduced (refer to the 1994 Green Light Document). |
|
DTP #6 |
|
2.1.2 Determine the change in the resources
required in the auditing process (government and carrier). |
Audit process will become
more automatic. |
|
DTP #6 |
2.2 Determine changes in
tax evasion |
2.2.1 Determine changes in highway use tax
revenues collected & why. |
Oregon Green Light will
support changes. |
|
DTP #7 |
2.3 Determine changes in vehicles processed at
each site |
2.3.1 Compare total
vehicles pro- cessed (cleared & not-cleared). |
Number processed will
increase. |
|
DTP #7 |
|
2.3.2 Compare no. of interruptions per shift
& total time. |
Interruptions will
decrease. |
|
DTP #8 |
|
2.3.3
Observe system availability. |
Availability will be approximately 95%. |
|
DTP #8 |
2.3.4
Observe system availability for long combination vehicles at Farewell
Bend |
The system availability for LCVs at Farewell Bend
will be approximately 95%. |
|
|
DTP #7 |
2.4 Determine productivity to motor carriers |
2.4.1 Compare truck flow on
the mainline before & after installation. |
Truck flow will increase. |
DTP #9 |
2.5 Determine impacts on energy |
2.5.1 Estimate changes in fuel use before and
after using I‑75 experience. |
Fuel consumption will
decrease. |
|
DTP #10 |
2.6 Determine the ability of vision technology
to support 100 percent electronic screening service |
2.6.1 Evaluate the accuracy of the vision system
by comparison of vision readout with actual plate numbers. |
Vision system will be
accurate at least 90% of the time. |
|
DTP #11 |
3.1 Assess motor carrier
acceptance |
3.1.1 Determine attitude towards electronic
screening, including perceived impacts. |
The majority of carriers
will have a positive attitude. |
|
DTP #11 |
|
3.1.2 Determine attitude towards new services,
e.g., select carriers-vehicles for inspection based on inspection and
compliance status. |
The majority of carriers
will have a positive attitude. |
|
DTP #11 |
|
3.1.3 Evaluate motor carrier acceptance of
mainline electronic screening. |
Carriers will demonstrate
acceptace by installing transponders. |
|
DTP #12 |
3.2 Assess agency
acceptance |
3.2.1 Determine agency attitude towards
electronic screening, including perceived impacts. |
The majority of agency
personnel will have a positive attitude. |
|
DTP #12 |
|
3.2.2 Determine agency attitude towards new
services, e.g., select carriers-vehicles for inspection based on inspection
and compliance status. |
The majority of agency
personnel will have a positive attitude. |
|
DTP #13 |
4.1 Document regional and
national mainstreaming issues |
4.1.1 Identify, assess and document pertinent
regional and national issues (e.g. IOU, HELP, CVISN, ITS Systems
Architecture, DSRC) and assess the impacts to Green Light for customers and
providers. |
Knowledge of pertinent
regional and national issues will increases the effectiveness of the Green
Light program. |
|
DTP #13 |
4.2 Document
approaches attempted to solve mainstreaming issues and final resolutions |
4.2.1 Document
approaches attempted to solve
regional and national mainstreaming issues as they arise, and final
resolutions. |
Participation in pertinent
regional and national issues will contribute to the effectiveness of the
Green Light program. |
|
DTP #14 |
5.1 Document non-technical
interoperability issues |
5.1.1 Identify, assess and
document pertinent non-technical interoperability issues as they arise for
customers and providers. |
Knowledge of pertinent
non-technical issues will increases the effectiveness of the Green Light
program. |
|
DTP #14 |
5.2 Document approaches attempted to solve
interoperability issues and final resolutions |
5.2.1 Document
approaches attempted to solve
non-technical interoperability issues as they arise, and final resolutions. |
Documentation of
participation in, and approaches used to resolve pertinent non-technical
issues will contribute to the effectiveness of the Green Light program. |
EXHIBIT 1-2 Summary of DTP’s as
Completed
|
|
All |
Executive Summary |
|
|
DTP #1 |
1.1.1 and 1.1.2 |
Inspection Compliance |
Completed as Planned |
|
DTP #2 |
1.2.1 |
RWIS – Speed Study |
Combined and Reduced in Scope |
|
DTP #3 |
1.2.2 |
RWIS - Accidents |
|
|
DTP #4 |
1.3.1 |
DSIS - Speed Study |
Combined and Reduced in Scope |
|
DTP #5 |
1.3.2 |
DSIS – Accidents |
|
|
DTP #6 |
2.1.1, 2.1.2 and 2.2.1 |
Tax Collection and Auditing |
Completed as Planned |
|
DTP #7 |
2.3.1, 2.3.2, and 2.4.1 |
Simulating the Impact of Electronic Screening |
Completed as Planned Combined with DTP #9 |
|
DTP #8 |
2.3.3 and 2.3.4 |
System Availability |
Completed with Reduced Scope |
|
DTP #9 |
2.5.1 |
Fuel Consumption |
Completed as Planned Combined with DTP #9 |
|
DTP #10 |
2.6.1 |
Assess Vision Technology |
No Evaluation Conducted |
|
DTP #11 |
3.1.1 and 3.1.2 |
Assess Motor Carrier Acceptance |
Completed as Planned |
|
DTP #12 |
3.2.1 and 3.2.2 |
Assess Agency Acceptance |
Completed as Planned |
|
DTP #13 |
4.1.1 and 4.2.1 |
Mainstreaming Issues |
Combined and Completed as Planned |
|
DTP #14 |
5.1.1 and 5.2.1 |
Non-technical Interoperability Issues |
This chapter summarizes the findings from each of the detailed test plans.
Out-of-service violations found during a series of random inspections (in
1998 and 1999) were used as an indicator of change in vehicle safety. The study
found no significant changes in compliance rates at sites where Green
Light technology was deployed. However, there was a significant increase in
the total number of violations per inspection at non-GL, fixed sites. The most
consistent pattern observed was a decrease in violation rates at non-fixed (or
mobile) sites. The number of
violations, the number of OOS violations, and the number of vehicle OOS
violations per inspection decreased.
Combining data across site types, the only significant difference was an
increase in violations per inspection between 1998 and 1999.
It is important to note that over the course of the evaluation period,
from January 1998 to July 1999, there was a low transponder penetration in
relation to the total traffic bypassing the Green Light facility at Woodburn
POE. At the end of the data collection
period for this study in July 1999 there were approximately 3000 transponders
in the field, less than the amount needed to actually show a change in
compliance as a result of Green Light.
This number increased substantially to over 10, 000 transponders in the
field in July 2000. Green Light
bypasses also increased dramatically from about 28,000 in July 1999 to
approximately 60,000 by July 2000.
This study established a baseline for future studies that should show
that safety compliance increases as Green Light is fully deployed and a
significant truck population carry transponders. It is strongly recommended
that ODOT conduct random inspections annually so that it can be clearly
demonstrated that safety of the truck fleet is Improving.
ODOT’s travel advisory web page has underwent several upgrades in during
the last 12 months of the evaluation. In January of 2000, a test version of
TripCheck was launched, a high-powered web interface that brings together
several mediums of information for travelers.
Information from the Green Light RWIS sensors are combined with 13 other
weather stations across the state to provide timely weather and road conditions
to motorists. In addition, TripCheck offers general information such as a
listing of construction projects that could pose delays, public transportation
services and schedules, rest area locations, and scenic byways.
The RWIS installations were successful in meeting the goal of providing
real-time weather data for public use through the Traffic Management Operations
Center in Portland. The server installations
in La Grande, The Dalles and Ashland relay the information quickly and
efficiently, enhancing the existing infrastructure used to provide weather
conditions in these three areas known for their high occurrence of truck
crashes.
The interface with truck traffic through the use of variable message
signs was not accomplished before the evaluation was completed, due to the
incompatibility of the existing hardware interfacing with the signs in Ladd
Canyon. Combined with the prohibitive
costs of retrofitting signs with compatible hardware and/or purchasing new
signs, this led to an incomplete evaluation of the motor carriers adjusting
speed to adverse weather conditions.
Detailed test plan #11, the Motor Carrier Survey, provides additional
insight into how motor carriers feel about the RWIS system as intended by
ODOT. The survey found that 60% of
carriers agree that RWIS would benefit their company (14% disagree and 26% have
no opinion).
Recommendations for future work would be to pursue the dissemination of
real time data to the roadside, rather than solely through the Internet. With the advent of wireless data
communications, trucks could be equipped with palmtop computers that can query
road conditions via the Internet. Until such technology is mainstream,
information kiosks at rest areas, truck stops, and weigh stations, could be
incorporated into ODOT’s existing infrastructure without a great deal of
capital expense, and would reach all carriers, regardless of their
technological advancements.
Available accident data has given a good baseline approach to continued
monitoring of accidents in the Ladd Canyon area. It is strongly recommended
that ODOT continue to collect data so that the impact of the RWIS can be
measured.
Although the Emigrant Hill DSIS was not been deployed, the evaluation
indicates that DSIS is a valuable tool that will be beneficial to the trucking
community. Emigrant Hill continues to
be listed as a high truck crash corridor in the state of Oregon, with 62
crashes occurring in 1999 due to speed and improper overtaking. The DSIS could
aid in reducing these numbers through a warning system of advised speeds and
personalized signing as proposed in the Green Light Project.
OSU recommends that ODOT continue to pursue deployment of this
technology, and if possible, conduct an evaluation of its effectiveness.
Available accident data has given a good baseline approach to continued
monitoring of accidents at Emigrant Hill. It is strongly recommended that ODOT
continue to collect data so that the impact of the DSIS can be measured.
The impact of Green Light increases the
capacity of a weigh station to observe motor carriers’ operations. For each
truck that uses a transponder, a space is created in the weigh station
queue. Assuming that the ODOT maintains
the volume of traffic currently processed through the static scales, the total
number of observations will increase equal to the rate of growth in
transponder-equipped trucks. For trucks
that have transponders, observations will be recorded at every pass by the weigh
station. For trucks without
transponders, the likelihood of having to stop at the static scale, thus being
observed will increase.
Observations or third party data are an
integral part of the weight-mile tax auditing process. Weight-mile tax reports are generated by the
motor carrier on a monthly or quarterly basis.
Reported trips are compared to observations within the state. Observations are currently made at the weigh
station through vehicle weighing, safety inspections, and traffic
citations. Weigh station observations
are by far the most prevalent observations.
The increase in the number of observations
enabled by Green Light will allow the audit unit to more effectively select
motor carriers for audit. By having more observations, there is a greater
chance of detecting unreported trips.
Additional observations will also improve the accuracy of motor carrier
audits. The additional information will
allow the field auditors to more precisely and assuredly estimate a vehicle’s
pattern of operation with the boundaries of Oregon. This will also serve as a deterrent to weight-mile tax evasion.
Green Light will lead to an increase in the
number of observations, improved accuracy, and, allow for a better selection of
files to be audited. However, it will have little effect on the process of
auditing. The auditing process calls for manual review of all files by the
Pre-audit staff. A few lines of additional data might add a few seconds to the
pre-audit staff review. Conversely, the additional data might allow the
pre-audit staff to more quickly identify unreported operations, flag the files
for audit, and move along to the next file. If either or both scenarios prove
to be correct, the effect on the efficiency of the pre-audit process, measured
in the amount of resources that it takes to review a file, will be negligible.
Field auditors use weigh station
observations to piece together a vehicle’s pattern of operation within
Oregon. Because weigh station
observations are more easily accessed than motor carrier records, the time that
it takes to conduct an audit might be shortened. However, unless a truck is observed in several locations on all
trips, review of data from a variety of sources will continue to be the
norm. The effect that electronic clearance
will have on the efficiency of the desk and field audit processes, measured in
the amount of resources that it takes to conduct a desk or field audit, will be
negligible.
With regard to tax collection, the “Oregon
Weight-Mile Tax Study” of 1996 concluded that the “evasion rate of the weight
miles tax is approximately five percent of the total tax liability, or ten
million dollars per year." Although the amount of revenue lost to evasion
each year is quite significant, it is only a small portion of motor carriers
are actually submitting incomplete or inaccurate tax reports. [1] To meet the objectives set forth in Measure
2.2.1 “Determine the changes in highway use tax and why”, the study team
focused on the effect that Oregon Green Light technology has on the behavior of
these motor carriers and the ability of the audit branch to detect and adjust
inaccurate and/or incomplete tax reports.
For example, the Woodburn Port of Entry currently allows all vehicles
that weigh less than 62,000 lbs. on the ramp weigh in motion scale to take the
ramp bypass lane and thus avoid direct observation. Consistently, 60 percent of trucks that pass through Port of
Entry are not directly observed.
Assuming that the number of transponder-equipped vehicles increases as
is expected, a substantial percentage of trucks will be checked electronically
on the mainline and the static scales will no longer be operating at or near
capacity. The weigh station will then
be able to lower the threshold weight of the ramp bypass and pull in a higher
percentage of non-transponder equipped trucks for static scale weighing and
observation.
According to Motor Carrier Auditors, motor carriers are
quite cognizant of the fact that the audit branch uses weigh station
observations. For those motor carriers
that are tempted to report only those trips in which they are observed, the
additional observations will serve as a direct deterrent resulting in greater
tax receipts per registered motor carrier.
Deterrence alone will not eliminate tax evasion. As one auditor stated during the group interviews, “Tax evasion is more often an act of omission than an act of commission.” Poor record keeping and/or a lack of understanding of reporting procedure results in inaccurate or inadequate tax filings. The increase in the number of observations resulting from the introduction of electronic clearance will allow the pre-audit team to detect and adjust inaccurate and/or incomplete tax reports. By having more observations, there is a greater chance of catching unreported trips in both in pre-audit and field audit. While Green Light will provide more observations to assist auditors, this analysis did not determine significant changes in the processes.
The simulation findings indicate that electronic screening will reduce
travel time and fuel consumption for trucks participating in the electronic
screening programs, or transponder equipped trucks. Findings also indicate that electronic screening will decrease
the occurrence of unobserved bypasses resulting from full queues and increase
the percentage of trucks being screened for safety and compliance. The effectiveness of electronic screening
will be situational. Several variables,
including truck traffic volumes at the weigh station, the percentage of motor
carriers participating in the electronic screening program, and Oregon's
commercial vehicle enforcement policies and procedures will determine the
degree to which the electronic screening program meets
its objectives.
An advantage of the simulation model is that the ODOT is not limited to
the analysis of the scenarios selected for this report. ODOT staff can run the
model on any personal computer with the Windows 95 or higher operating systems. With the Arena Viewer, users are able to
alter input parameters such as traffic level, transponder rate, and number and
length of inspections, to perform "what if" scenarios. ODOT can also
analyze the impact that changes in operational procedure and/or staffing levels
would have on the functionality of the weigh station. For example, ODOT could examine the impact of changing the
threshold weight for the bypass lane or closing the ramp bypass lane entirely. Also, it can be shown that if the ramp
bypass lane were closed, electronically screened vehicles would realize greater
time savings than vehicles not participating in the program.
In the scenario described above, closing the ramp bypass lane would also
serve the objectives of ODOT’s motor vehicle enforcement objectives. At the time of data collection, the ramp
bypass lane allowed vehicles weighing less than 75 percent of the legal limit
to bypass the static scale and return to the mainline. By bringing all vehicles to a stop at the
static scale, the Woodburn staff would have the opportunity to visually check
all vehicles not participating in the electronic screening. The ramp bypass lane serves the purpose of
reducing congestion within the weigh station and thus minimizing unobserved
bypasses, while maintaining weight screening on all vehicles that enter the
weigh station. With enough vehicles
participating in the program, electronic screening will give ODOT more
flexibility in setting operational procedures.
The simulation model will assist ODOT in assessing the impact of
proposed changes in procedures.
Although closing the ramp bypass lane would result in the most dramatic
changes in travel time savings for participating vehicles and would allow for a
visual check of all vehicles, it is more likely that operational procedures
would change incrementally. The
simulation package gives the end user the ability to vary the percentage of
vehicles and determine the threshold weight that would bring the greatest number
of vehicles to the static scale without resulting in unobserved bypasses.
For this evaluation of weigh station efficiency, the Arena Viewer
software "packed" with the Woodburn model is considered a deliverable
equal in and of itself. Not only does
the simulation provide a robust medium for evaluation but the powerful
animation capability makes it possible to demonstrate the functionality of the
weigh station and the impact of electronic screening to a broader
audience.
The evaluation was designed to take place
over a two-year period after the roadside systems were deployed. However, at
the time the evaluation contract was completed, only seven of the twenty-one
sites had been deployed, and had not been functioning for two years. The data
collected were analyzed and indicated that the system was available at least
95% of the time to Weighmasters and Motor Carriers at the seven sites, when
considered in aggregate. The data collected at Farewell Bend indicate that the
system availability for long combination vehicles was nearly 100%.
It is strongly recommended that ODOT
continue to evaluate data available in the Trouble Report Master Log and
publish the results on an annual basis.
A questionnaire survey was designed to monitor and assess motor carrier
acceptance of Green Light technologies. Two surveys (“before” and “after”) were
sent to carriers who operate in Oregon. The first survey was conducted in 1998,
and the second in 2000.
The main goal of the questionnaire surveys was to obtain the following:
· User attitudes to electronic screening and its perceived impacts on the motor carrier.
· User attitudes to new services such as Road Weather Information System (RWIS) and Downhill Speed Information System (DSIS).
The survey design was based on the method described in the “Mail and
Telephone Surveys – Total Design Method” by Don A. Dilliman. Mailing included
an initial cover letter, the survey, and a brief description of Green Light
components, a follow-up postcard, and finally a second survey identical to the
first, but with a slightly different cover letter.
Surveys were mailed to a random sample of carriers registered to operate
in Oregon. The population of motor carriers was divided into three strata based
on the location of the carriers listed in ODOT’s database. Twelve hundred
Oregon carriers made up the first stratum (Oregon carriers). One thousand
carriers based in Washington, California, Idaho, and Nevada comprised a second
stratum (Pacific Norwest carriers) while 1,000 of carriers of the remaining
states and Canadian provinces made up to the third stratum (Other carriers).
The percentage of respondents to the survey was about 10 percent less in
the “after” survey than in the “before” survey. The experience level of the
participants is evenly distributed across strata with no significant variations
in both “before” and “after” surveys. Nearly half (50%) of the respondants had
been working in the industry for more than 20 years. Overall, smaller carriers
dominated the sample with about three-quarters (75%) having fleet sizes of one
to ten trucks. However, the medium fleet size (11 – 99 tractors) showed
significant changes in the “after” or second survey.
A summary of findings is listed below:
·
41% of
carriers agree (19% disagree) that Mainline Preclearance will benefit their
company in the “before” survey while about 32% of carriers agree (25% disagree)
with this statement in the “after” survey.
·
60% of
carriers agree (that Road Weather Information System (RWIS will benefit their
company in the “before” survey and 52% of carriers agree with this statement in
the “after” survey. Approximate 15% disagree with the statement in both
surveys.
·
Over 50% of
carriers agree with the policy of screening trucking for possible inspection
based on recent compliance with federal safety regulations (nearly 16 %
disagree) in both “before” and “after” surveys.
·
Over 60% of
carriers rate the overall performance of ODOT’s Motor Carrier Services as
“Good” (nearly 26% rate it “Fair” and about 4% rate it “poor”) in both “before”
and “after” surveys. 9% rate it “Excellent” in the “before” survey and 6% in
the “after” survey.
The evaluation of motor carrier acceptance by tracking transponder
penetration since they were introduced in 1997 showed that, after a slow start,
the industry embraced the technology. At the time the evaluation was completed,
nearly 12,500 transponders were in use.
The purpose of this study was to gain insight about how Green Light met its initial objectives in the eyes of the personnel that work with the system as well as those that developed and deployed it. The interviews provided an opportunity to document the lessons learned during Green Light’s deployment. The study used an interview process tailored to focus on both Green Light’s benefits, and the obstacles that may have hindered the development of the system’s integration into the ODOT’s business and operations. It was intended that the results of this part of the evaluation would provide a valuable resource to those deploying similar projects.
The interviews consisted of asking up to nine questions of a targeted group of ODOT’s leadership and personnel involved closely with the Green Light deployment. The summary of responses shows a high level of agency acceptance as well as an understanding of the benefits gained and recognition of lessons learned. The last question dealt with lessons learned and is repeated below, followed by a summary of the responses:
“What have been some lessons
learned in the inception of Green Light, and what have been deterrents to its
complete and successful operation?”
Interoperability was commented on as a problem, specifically regarding the differing business models between different systems and the competitive politics surrounding the issue. It was stated that only the federal government has the power to enforce cooperation, but they have not. The technology is not a real problem, but the political resistance is. The program also has had installation and assimilation problems because of the lack of a central coherent training or marketing plan. Training was done piecemeal all over the state, so the same battles were fought over and over again. A comprehensive and organized introduction and training program would have increased early acceptance and eased the transition. The trucking industry as a whole is not an early adopter of technology, and a solid, timely marketing program should have been implemented. Some of the marketing that was done was done prematurely, which let carrier interest fade before the system was up and running. An important lesson is that by giving out free transponders to new members, the startup risk of new technology was shifted away from the truckers, so they became much more agreeable to the program. While this method may not be appropriate everywhere, it is important to note that carriers want to save time and money, but an untried system that fails will cost them more than it saves, so they are wary about investing in it. Reducing transponder costs as much as possible will diminish this reluctance. Ultimately, the system should be nationwide. This will reduce the costs to truckers the most, and so will be the most accepted, used, and useful. The Oregon system is up and running, but at present multiple transponders must be purchased to use systems in multiple states. Overcoming the barriers between systems is necessary for the system in any state to fully mature and achieve its potential.
This part of the evaluation was weighted heavily towards
interoperability issues, because those issues proved to be significant in
delaying market penetration of mainline
technologies. Mainstreaming proceeded in a steady and non-controversial
way. The literature supports this conclusion; there are many articles that
report on the widespread adoption of the technologies.
It is clear that achieving interoperability between different programs
is very difficult. Even the MAPS and Advantage CVO states (with very similar
business models) took four years from the start of Green Light to form an
agreement.
Although a one-way interoperability agreement was reached between
NORPASS and PrePass, it was unsatisfactory to Oregon, and, caused them to
withdraw from NORPASS. Green Light carriers are still interoperable with
NORPASS (they must pay the $45 enrollment fee) and, NORPASS carriers operate in
the Green Light system free of charge. As yet, no satisfactory agreement has
been reached between Green Light and Prepass for one-way interoperability.
A positive outcome of Oregon’s withdrawal from NORPASS is that it
transferred ownership of transponders to the carriers, and, distributed an
additional 7,500 transponders in three months. There are now 12,500 trucks
equipped with Green Light transponders. This is half their original target,
but, considering the current progress, they could reach their target before
12/31/2000.
A satisfactory compromise needs to be reached between Oregon and PrePass
before interoperability can be achieved. Oregon should hold to its principles,
which are endorsed by other states and by many in the trucking industry.
However, they will likely need to compromise, but, only to the degree to which their
customers agree. The major principle is regarding HELP’s limitation of the use
of PrePass transponders.
An issue for many Green Light carriers is the fee structure used by
PrePass. However, the market will determine if carriers are prepared to pay PrePass’s
fees. PrePass may need to introduce alternative fee schedules to attract a
diverse range of customers.
A longer term issue is reaching an interoperability agreement that will
enable PrePass carriers to operate in Green Light. At this time there is an
impasse with regard to PrePass obtaining some cost recovery as well as
protecting there carrier’s data privacy. However, there are several examples of
PrePass carriers that have requested enrollment in Green Light (and NORPASS)
and have been refused by PrePass. Carriers can enroll in each system separately
and obtain a transponder for each, but, there are problems when a truck has two
transponders in the cab. Since the Green Light and PrePass transponders are the
same, this situation is unnecessary!
Oregon was very successful in the distribution of transponders after
opting to withdraw from NORPASS and deciding to act as their own transponder
administrator. The two significant changes that Oregon introduced (as the
administrator) were: a) transferring ownership of transponders to the carrier,
and, b) providing new transponders at no cost. At the time the evaluation was
concluded 12,500 transponders had been distributed. Another 12,500 will be
distributed free of charge, before a carrier must purchase their own
transponder. It is strongly recommended that ODOT continue the successful
practice of targeting those carriers that would benefit the most from mainline
, i.e. those that operate most in the Green Light corridors.
It is likely that ODOT will reach its goal of issuing a total of 25,000
transponders during 2001. The state should consider continuing free
distribution of transponders. A market survey may be appropriate to guide this
decision. It is certainly likely that those enrolled in the program would be
willing to pay (if they had to do over) but enrolling new carriers will become
difficult at some point. Removing the best incentive (free transponders) may
halt the rapid progress that has been made in market penetration.
This chapter provides a general discussion of issues relating to the evaluation but not specifically addressed in any of the detailed test plans.
The Green Light Project was initiated in 1995 to fulfill Oregon’s vision of creating an automated and intelligent truck transportation system. As the project nears completion, it has proved successful, by improving the safety and efficiency of the commercial trucking industry while at the same time increasing the performance of roadside facilities without physically expanding them, and protecting the public investment in the infrastructure.
Through the Green Light weigh station modernization program, Oregon has installed Mainline Systems at 21 weigh stations to electronically screen trucks as they approach at highway speeds. The deployment at all 21 sites was completed and fully operational by March 2001. Weigh-in-motion (WIM) systems check the vehicle’s weight and height, and, automatic vehicle identification (AVI) systems check records for registration, tax status, and safety inspection status. The driver is signaled with an in cab device to either Report to the station or to Bypass.
During 1999 nearly 280,000 mainline bypasses occurred at completed sites, and, in 2000 this number rose to more than 640,000. All 21 sites were fully deployed by March 2001, and, the number of bypasses will continue to increase as more carriers enroll, freeing weigh site personnel and facilities to process only those trucks that need their attention, and, saving considerable time (and money) for trucks that bypass. Calculable savings occurred in several ways:
(1) The cost of physically expanding 11 of the 21 weigh stations was avoided,
(2) The cost of building five replacement weigh stations for facilities that would otherwise be rendered obsolete was avoided,
(3) The cost of early repair to the infrastructure as a result of increased overweight truck traffic was avoided, and
(4) The trucking industry operates more efficiently and avoids costs it would have incurred in a strictly conventional, time-consuming stop-and-weigh process.
Each of these cost saving mechanisms is addressed in more detail below.
Truck traffic increased almost 40 percent in the I-5 corridor between Portland and Salem from 1990-1998. The two weigh sites in this area were designed in the mid-1980’s to weigh about 2,500 trucks a day, but today the traffic load has increased to more than 5,000 trucks a day. Truck traffic along the I-84 corridor has increased by similar amounts. To accommodate these increases in truck traffic 11 weigh stations would require expansion including extension of the off-ramps and added static scales. The total estimated cost for extending the ramps and adding a static scale at each site was $2,262,700. Through the Green Light mainline system, Oregon avoided spending millions on facility expansion at major weigh stations.
An additional five weigh stations would soon be rendered obsolete, and, there is no room to physically expand them at their current location. If replacement stations could be built, within appropriate proximity to each station, the cost of construction would be a minimum of $14.5 million. However the biggest cost consideration would be in land acquisition. If electronic screening were not available at these locations Oregon would be forced to close the stations, thus removing any visible enforcement, and, forced to accept compromises to its size and weight enforcement effort.
By implementing Green
Light systems, Oregon identified and
stopped more overweight trucks than previously. Without Green Light these
trucks would proceed with the potential to cause millions in highway pavement
damage. In a model developed by researchers in Idaho, the benefit in prevented
damage can be estimated for a weigh station in a typical highway application. The study indicated that a single weigh
station, covering an area of 160 miles, would prevent approximately $46 million
in pavement damage during an average life span of 10 years. An earlier
Federally Funded study indicated that overloaded truck axles cost up to $670
million per year (nationally) in pavement damage. Thus with 21 improved weigh stations enhancing the ability to
minimize overloaded vehicles, Oregon could save well in excess of $200 million
during the next 10 years. Although there is no generally accepted way to
calculate the actual amount, the savings realized are related to costs
associated with: (1) the effect of deteriorating pavement conditions on fuel
economy, tire wear, and other related maintenance costs, (2) time delays
suffered during pavement resurfacing, reconstruction, rehabilitation, and
maintenance, and, (3) time delays suffered due to traffic control related to
remodeling, upgrading, and/or reconstruction of weigh stations.
Finally, by utilizing Green Light the trucking industry enjoys efficiencies and avoids costs that are built into the conventional weigh station operation. What’s it worth to a truck driver to pre-clear a weigh station at highway speeds? Operating a heavy truck has been estimated by the American Trucking Association to cost $1.92 per mile. Assuming an average hourly speed of 39 miles-per-hour (from departure to destination), a cost of $1.24 per minute is realized. Truck drivers save at least three minutes per weigh station bypass. Therefore it is conservatively projected, based on the current rate of about 60,000 bypasses a month in Oregon, that in the next 10 years the Green Light mainline system is expected to pre-clear 7.2 million trucks. This will save the industry more than $25 million in operating costs as it saves 360,000 hours of travel time. However, it is anticipated that the number of bypasses will increase substantially as more carriers enroll, resulting in much larger savings.
In summary, the Oregon Green Light project has been immediately beneficial, yet designed for the future; the system will continue to provide financial benefits in the form of cost avoidance to the taxpayer and to the trucking industry. The model deployment has clearly demonstrated the benefits of mainline . It has also demonstrated that achieving interoperability (see sections 2.10 and 2.11) is a difficult process that may prove more difficult to achieve than providing technically excellent systems.
The independent evaluation was initiated in
August 1995 and concluded in June 2000. Oregon State University was prime
contractor, with Iowa State University as a sub-contractor, and, WHM
Transportation Engineering as a consultant. Fourteen test plans were developed
to evaluate: safety, productivity, user acceptance, mainstreaming issues and
interoperability issues. At the time the evaluation was concluded, the Green
Light sites were not fully deployed;
the Conclusions and Recommendations are therefore based on tests conducted on
an incomplete system. Nevertheless, they are a strong indicator of future
performance.
Safety: Out-of-service violations found during a series of random inspections
(in 1998 and 1999) were used as an indicator of change in vehicle safety. At
the time of these inspections there were few transponders distributed and,
therefore, no significant changes were observed. However, the study established
a baseline for future studies that should show that safety compliance increases
as Green Light is fully deployed and a significant number of trucks carry
transponders. Evaluation of the Road Weather Information System (RWIS) and the
Downhill Speed Information System (DSIS) could not be completed as planned
because the systems were not fully deployed. However, the methodology for the
evaluation should be applied once deployment is completed
Productivity: A study of the auditing and collection
processes for the weight–mile tax indicated that Green Light technology
significantly increases the level of auditing possible. Ability to do this will
improve productivity but not result in any changes to the processes. A
simulation model was also developed for
sites. The model clearly demonstrated that system capacity increased as
transponder penetration increased, and, provides a powerful tool (because of
the animation capability) to demonstrate impacts of electronic screening to a
broad audience. A third productivity study of seven functional sites indicated
that the system will be available at least 95% of the time. This suggests a
very high productivity when all 21 sites are deployed.
User Acceptance: Before and after surveys were conducted in
1998 and 2000 to assess motor carrier acceptance of Green Light technologies
(electronic screening). There was little difference in the results of the 2
surveys. However, in both surveys, the majority of motor carriers were
supportive of electronic screening and were satisfied with ODOT’s Motor Carrier
Services. The steady increase in transponders issued is the strongest indicator
of user support; 10,000 were issued in 2000 after a slow penetration in 1998
and 1999. The indication is that ODOT will reach its goal of issuing 25,000
transponders in 2001, largely due to growth in user acceptance.
Agency Acceptance: Interviews were conducted with ODOT
leaders as well as with personnel involved closely with the Green Light
deployment. The responses showed a high level of agency
acceptance as well as an understanding of the benefits gained and recognition
of lessons learned. Interoperability was commented on
as a problem, specifically regarding the differing business models between
different systems and the competitive politics surrounding the issue. It was stated that only the federal
government has the power to enforce co-operation. However, this was not done
and a solution has not yet been found.
Mainstreaming and Interoperability Issues: Mainstreaming proceeded in a steady and
non-controversial way. However, there have been many interoperability issues.
It is clear that ODOT and PrePass must reach a satisfactory compromise before
interoperability can be achieved. ODOT should hold to its principles, which are
endorsed by other states and by many in the trucking industry.
In summary, the Oregon Green Light project has been immediately beneficial, yet designed for the future; the system will continue to provide financial benefits in the form of cost avoidance to the taxpayer and to the trucking industry. The model deployment has clearly demonstrated the benefits of mainline . It has also demonstrated that achieving interoperability (see sections 2.10 and 2.11) is a difficult process that may prove more difficult to achieve than providing technically excellent systems.
Because the evaluation contract was concluded before all elements of the Green Light project were fully deployed, the evaluation was incomplete. Nevertheless, the evaluation conducted demonstrated that the project was successful as indicated in the foregoing sections of this Executive Summary. However, it is strongly recommended that ODOT continue evaluation of Green Light using the framework established in the evaluation contract.
1. Bell, C.A., B. McCall, and, C.M. Walton, “Oregon Green Light CVO Evaluation – Detailed Test Plans”, GLEV9603, Oregon State University, Transportation Research Institute, March 1997.
2. Bell, C.A., B. McCall, and, C.M. Walton, “The Oregon ‘Green Light’ CVO Project, Evaluation Plan”, GLEV9601, Oregon State University, Transportation Research Institute, September 1996.
3. Bell, C.A., B. McCall, and, C.M. Walton, “The Oregon >Green Light CVO Project, Individual Test Plan”, GLEV9602, Oregon State University, Transportation Research Institute, October 1996.
[1] Oregon Weight Mile Tax Study (Cambridge Systematics, Inc., Sydec Inc., and Pacific Rim Resources, Inc. February 20th, 1996.)