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.