KLK133: Improved Signalized Intersection Performance
Measurement, Phase II
Principal Investigator
Michael DixonProject Objectives
- Develop performance measurement methodologies for
locally controlled actuated signalized intersection
operations
- Develop learning objects for students to understand
operations of actuated signalized intersections at different
levels
Task Descriptions
Task 1: Develop and test improved methods for
detecting phase failure. Testing will be focused on the
ability of a method to detect phase failure using
standard detector configurations. Benchmark data were
obtained manually from field video footage and
simulation data were obtained from a large set of VISSIM/HILS
experimental runs. Detection errors will be quantified
on the basis of omission, commission, and overall error
rates. Both field and simulation data will be used to
complete the testing. Acceptable levels of phase failure
will be recommended, as will acceptable levels of phase
failure detection error. Automated methods will be
implemented using Autoscope and the current set of field
video recordings.
Task 2: Develop and test improved methods for
measuring delay. Delay measurement methods will be
restricted to information available, given standard
detector configurations. Benchmark data were obtained
from field video footage. Methods will be automated
using Autoscope. Assumptions of the proposed methods
will be thoroughly tested to determine their robustness
to different types of errors and error levels
Task 3: Establish and test controller vs performance
measurement relationships to improve intersection
traffic operations. This task will focus on using the
following measures for evaluating intersection
performance and diagnosing problems, if they exist. 1.
phase failure, 2. delay, 3. green-time utilization, 4.
detector occupancy, 5. speed, 6. phase indication, 7.
headway, and 8. count data.
These measures will be related in some systematic
fashion to a limited set of controller
parameters/settings. Problems associated with the
following controller settings will likely be considered
in this task. 1. passage time, 2. protected left-turn
phasing, 3. detector delay, and 4. max green time.
The objective of this step is to arrive at an
understanding that would facilitate improving traffic
operations, never knowing if optimal operations are
actually achieved.
Task 4: Devise a measure to communicate the
plausibility of operational improvement. While an
intersection may operate poorly, it is possible that
significant improvements may result from changing
controller parameters/settings. Completion of this task
will result in a measure that will describe this
likelihood. This task will start with empirical
measures, such as intersection saturation. However, it
is likely that any one of these measures would need to
be augmented by others, in order to provide a
comprehensive picture of how flexible intersection
operations are.
Task 5: Documentation and publication. • Final Report
• ASCE paper (Tung): Automated delay measurement w/
study of error effects. • TRB paper (Wu and Azizur):
Local intersection performance measurement systems
approach. • TRB paper (Wu and Madrigal): Using phase
failure and delay information to diagnose and improve
actuated control.
Task 6: Develop learning objects for students at senior
level. Learning objects for students at the senior level will be
created via CE 474, where new objects will be created for the
course while it is being taught during the 2006 fall semester.
Emphasis of the training materials will be on the evaluation of
actuated signalized intersection performance.
The learning objectives of this learning material are as
follows:
- Explain basic signal control operations of isolated
actuated signalized intersections (vehicle detector calls,
passage time, minimum green, maximum green),
- Assess the quality traffic signal operations in terms of
green utilization, responsiveness, and delay, and
- Perform signal timing modifications for isolated
intersections.
VISSIM or CORSIM microscopic simulation software, traffic
control hardware, and field data will be used as needed to
provide the best hands-on learning outcomes for the learning
objects.
Milestones
- November 2006--Develop measure to communicate the plausibility of
operational improvements
- January 2006--Develop and report improved method for measuring
delay. Li-Wei’s paper submitted to ASCE
- June 2007--Establish and test controller vs performance
measurement relationships to improve intersection traffic operations
- July 2007--Submit two papers authored by Wu, Madrigal, and Azizur
to TRB
- August 2007--Develop learning objects
- September 2007--Submit final report
Budget Information
The total UTC funding for this project is $128,479.30
Student Involvement
Undergraduate student role: Student will assist in data
analysis for Task 3 and Task 4. The students will also assist in
beta testing learning materials as part of Task 6 [Academic year
(total project expense for both students): 10 hours/week; summer
(one student): 40 hours/week].
Graduate student role: Student will assist in Tasks 3, 4, and
6 and will assist in Task 5. (Academic year: 20 hours/week;
summer: 30 hours/week).
Graduate student role: Student will lead in Task 3, 4 and 6
and will assist in Task 5 (Academic year: 20 hours/week; summer:
40 hours/week).
Graduate student role: Student will lead in Task 2 and
will assist in Task 5 (fall semester: 20 hours/week)
Graduate student role: Student will lead in Task 1 and
contribute to Task 3 (academic year: 20 hours/week; summer: 30
hours/week)
Relationship to the NIATT Strategic Plan and to Other Research
Projects
Continuation of existing research project: This project is a
continuation of a NIATT project entitled, “Development of New
Actuated Signalized Intersection Performance Measurement
Methodologies Using Traffic Controller Input and Output Data”.
Conclusions of this research project indicated that research was
needed in the following areas:
1) Performance measurement must be done with standard
detector configurations. 2) We need to test and develop better
phase failure measurement methods, because the current methods
have not been tested until this project and these methods are
inaccurate. 3) Methods for automated delay measurement with
standard detector configurations need to be tested more
thoroughly and improved. 4) More research is needed to
understand how to integrate performance measurement with the
task of improving traffic operations.
Supports Center of Traffic Operations and Control mission:
Research activities of this project are consistent with the
mission of the Center for Traffic Operations and Control, which
“is to develop, test, and evaluate technology products
supporting advanced traffic control systems” . This project also
involves three of the five components identified as the focus of
this center, which are traffic detection, control, and
simulation.
Supports NIATT Strategic Plan: The proposed project will
produce performance measurement methodologies for actuated
signalized intersections. Locally controlled actuated signalized
intersection operations will improve as a result of the
implementation of products from this project. Hence, this
project supports one of the three federal or state priorities as
identified in NIATT’s strategic plan, which is “Traffic control
system technologies that are essential to the national
intelligent transportation infrastructure.”
Supports NIATT/UTC program goals: This project supports the
NIATT/UTC program goals in the following four ways:
- Human resources: One civil engineering faculty, two
undergraduate students and four graduate students will
be involved in this project.
- Education goal: Learning materials developed in the
proposed project will furnish opportunities for students to
develop their skills for evaluating actuated signalized
intersection performance in NIATT’s lab, where the tools are
available: workstations, simulation software, and traffic
control devices.
- Research performance goal: Researchers will benefit from
this project because of the resulting access to a time
series of traffic detection and controller response data,
which enable detailed phase-by-phase analysis, leading to
improved understanding of controller operations.
- Technology transfer goal: Products from the proposed
project will be used in two ways. The research team will
write reports and peer reviewed articles to discuss and
disseminate the results. Learning materials will supplement
course materials in intersection operations.
This project is closely related with other research projects in
the following ways:
This project will continue to support the MOST project’s
vision of providing a realistic simulation environment of
operations for actuated traffic controllers and improving
students’ understanding of “the interaction of various design
and operation parameters of the traffic signal control system”
The proposed project supports the MOST project because of its
focus on the evaluation of local actuated signalized
intersection operations. In addition, the proposed project
offers support through its use of simulation based and field
data based testing procedures that can then be used in the MOST
project.
The proposed project will use raw and extracted field data
and simulation output data from the UTC Data Systems project as
input to the testing procedures. No additional effort is needed
to acquire the data because it is already available.
The NGSIM Video, obtained from Cambridge Systematics/FHWA,
will be used to support the testing of automated methods for
measuring delay.
Relation to FHWA Research Gaps and Opportunities
This project is very closely aligned with the following
research gaps/opportunities presented at the FHWA/UTC workshop
in Washington, D.C. on June 6-7, 2006:
- Research methods for identifying saturated conditions at
signalized intersections and development of signal timing
strategies to respond to this condition.
- Research methods for using existing traffic signal system
infrastructure to assess system performance in real-time and
evaluation of the impacts of traffic signal timing changes prior
to implementation.
- Research methods for evaluating travel time on arterials
routes and assessing the needs for and benefits of this
information.
Technology Transfer Activities
Two technology transfer products will be generated from this
project: 1) reports and publications discussing research
activities and results; and 2) learning materials for university
students. The papers that will be submitted as a result of
research funded through this project are as follows: a. ASCE
paper: Automated delay measurement w/ study of error effects. b.
TRB paper: Local intersection performance measurement systems
approach. c. TRB paper: Using phase failure and delay
information to diagnose and improve actuated control.
Potential Benefits of the Project
New methodologies resulting from this project will add
valuable tools to the area of performance evaluation for local
actuated signalized intersections. The performance measures will
allow traffic engineers to evaluate actuated signal timing plans
using controller output instead of solely relying on traditional
field data or field observations. While traditional field data
are important they do not communicate information that fully
describes the quality of actuated control (e.g., green
utilization and premature phase termination) because they are
usually aggregated over time. Also, these methods will benefit
practice by improving the engineers’ ability to monitor,
evaluate, and update signal systems. Furthermore, results from
these methods will establish some relationships between signal
controller parameters and intersection performance, which will
strengthen our ability of how to evaluate and improve signalized
intersection operations.
This project will further our position as a significant
player in achieving the SHARP II research plan, which emphasizes
travel time reliability. This is an important characteristic of
this project, because the SHARP II research plan will play a
role in the directions that NIATT proposes to take after the
competition for Tier 1 funding.
Project status
Active Final Report
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