Ardalan, Taraneh
(2024)
Situationally Tailored and Analyzable Traffic Signal Control in Multimodal Networks.
Doctoral Dissertation, University of Pittsburgh.
(Unpublished)
Abstract
The increasing complexity of urban transportation systems requires innovative approaches in traffic signal control to enhance mobility, safety, and efficiency. This dissertation presents a comprehensive study of current practices, challenges, and potential advancements in traffic signal management through situationally tailored and analyzable traffic signal control solutions. Key objectives include conducting a detailed survey of traffic signal professionals, developing analyzable signal control strategies, establishing a methodology for programming an Event-Based Control (EBC) using DUMKA_E, benchmarking and demonstrating advanced functionalities of EBC, and implementing customized signal control strategies to improve multimodal urban traffic operations.
A comprehensive survey was conducted among professionals across North America to explore methodologies, challenges, and practices in multimodal signal retiming projects. The survey revealed a reliance on various tools and extensive data collection, highlighting the complexities of accommodating diverse traffic needs and balancing roadway user priorities.
This research introduced the EBC framework, implemented in the DUMKA_E virtual controller, to tackle these complexities. EBC provides greater programming flexibility than traditional control systems, allowing professionals to develop customized control logics suited to specific conditions, especially for multimodal users. Benchmarking EBC in microsimulation against commonly used controllers validates its effectiveness and demonstrates its advanced capabilities in developing more efficient control logics.
This study proposed the concept of “analyzable solutions” that practitioners can easily assess, contrasting them with solutions derived from opaque optimization tools. This approach was used to address traffic congestion on closely spaced, separately coordinated arterials impacted by shared left-turn lanes within one-way couplets during peak hours. The proposed analyzable signal timing strategies, Lagging Pedestrian phasing, Left-Turn Progression offsets, and Multicycle Co-Coordination-Based Gating, demonstrated significant improvements in queue lengths, delay, travel time, and environmental impacts.
This research bridges gaps in existing traffic signal control methodologies, offering innovative solutions to enhance multimodal urban traffic management. The proposed strategies promise to improve efficiency, safety, and sustainability in urban mobility, paving the way for more responsive and adaptable traffic signal control systems. Future research directions include customizing analyzable solutions for different transportation modes, integrating with public transit and micro-mobility, and developing dynamic pedestrian control strategies utilizing the EBC concept.
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Details
| Item Type: |
University of Pittsburgh ETD
|
| Status: |
Unpublished |
| Creators/Authors: |
|
| ETD Committee: |
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| Date: |
6 September 2024 |
| Date Type: |
Publication |
| Defense Date: |
15 July 2024 |
| Approval Date: |
6 September 2024 |
| Submission Date: |
18 June 2024 |
| Access Restriction: |
1 year -- Restrict access to University of Pittsburgh for a period of 1 year. |
| Number of Pages: |
313 |
| Institution: |
University of Pittsburgh |
| Schools and Programs: |
Swanson School of Engineering > Civil and Environmental Engineering |
| Degree: |
PhD - Doctor of Philosophy |
| Thesis Type: |
Doctoral Dissertation |
| Refereed: |
Yes |
| Uncontrolled Keywords: |
traffic signal control; traffic control logic; signal logic; event-based signal control; analyzable traffic control solutions; traffic signal retiming; multimodal transportation; sustainable transportation. |
| Date Deposited: |
06 Sep 2024 20:04 |
| Last Modified: |
07 Oct 2024 13:02 |
| URI: |
http://d-scholarship.pitt.edu/id/eprint/46727 |
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