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Enhancement of Traffic Signal Retiming Process Using Novel Methods and Traffic Signal Performance Measures

Dobrota, Nemanja (2022) Enhancement of Traffic Signal Retiming Process Using Novel Methods and Traffic Signal Performance Measures. Doctoral Dissertation, University of Pittsburgh. (Unpublished)

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Traffic signal control represents an effective strategy for temporal and spatial allocation of intersection capacity to provide safe and efficient traffic operations in urban environments. Most of the analyses related to traffic signal operations up to the early 2000s were based on low-resolution data collected in time-consuming field campaigns that prevent us from truly understanding the specifics of traffic signal operations. With the enhancements of computing and sensing technologies since the early 2000s, most of the research has been directed to address major issues from the past century - lack of computational power to process large data quantities and inability to collect, store, and analyze real-time traffic signal system data. Consequently, a significant part of our efforts today is addressing issues caused by these outdated data technologies and protocols. On the other hand, an ever-increasing number of research studies address Connected Vehicle concepts that will not be fully implementable even several decades from now.
This research aims to find a middle ground and improve the performance of traffic signal systems by enhancing existing procedures and policies for signal retiming primarily through the development of novel traffic signal performance measures (TSPMs) that overcome the functional limitations of the contemporary TSPMs. The novel procedures for signals retiming based on medium-resolution data, and high-fidelity simulation tools, proposed in this research lead to a reduction of delay in the peak periods up to 26%. A crucial part of the proposed procedures depends on TSPMs, which, when reviewed in detail, exhibit some limitations. Therefore, to further enhance the proposed procedures, seven novel mobility-based traffic signal performance measures were proposed: hybrid delay-arrival pattern, queued vehicles in volume to capacity ratio, cycle utilization, volume-occupancy capacity utilization, progression throughput, progression index, and free-flow efficiency. These new measures provide additional quality in traffic signal performance monitoring as they provide some new insights into traffic signal operations. Proposed measures are developed based on the same data used by real-time performance monitoring platforms, widely deployed by the transportation agencies around the US. In the future, these proposed measures will be utilized for the development of more robust signal timing plans.


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Item Type: University of Pittsburgh ETD
Status: Unpublished
CreatorsEmailPitt UsernameORCID
ETD Committee:
TitleMemberEmail AddressPitt UsernameORCID
Thesis AdvisorStevanovic,
Committee MemberKhazanovich,
Committee MemberFang,
Committee MemberTian,
Committee MemberMitrovic,
Date: 10 June 2022
Date Type: Publication
Defense Date: 14 March 2022
Approval Date: 10 June 2022
Submission Date: 3 April 2022
Access Restriction: 2 year -- Restrict access to University of Pittsburgh for a period of 2 years.
Number of Pages: 217
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 Performance Measures, Delay, Degree of Saturation, Capacity, High-resolution data, Progression, Platoon, Arrivals, Traffic Signal Retiming, Signal Timing Optimization.
Date Deposited: 10 Jun 2022 18:32
Last Modified: 10 Jun 2024 05:15


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