Dissertation/Thesis Abstract

Network Wide Signal Control Strategy Base on Connected Vehicle Technology
by Zhang, Lei, Ph.D., Mississippi State University, 2018, 189; 10841472
Abstract (Summary)

This dissertation discusses network wide signal control strategies base on connected vehicle technology. Traffic congestion on arterials has become one of the largest threats to economic competitiveness, livability, safety, and long-term environmental sustainability in the United States. Arterials usually experience severe blockage, specifically at intersections. There is no doubt that emerging technologies provide unequaled opportunities to revolutionize “retiming” and mitigate traffic congestion at intersections. Connected vehicle technology provides unparalleled safety benefits and holds promise in terms of alleviating both traffic congestion and the environmental impacts of future transportation systems.

The objective of this research is to improve the mobility, safety and environmental effects at signalized arterials with connected vehicles. The solution proposed in this dissertation is to formulate traffic signal control models for signalized arterials based on connected vehicle technology. The models optimize offset, split, and cycle length to minimize total queue delay in all directions of coordinated intersections. Then, the models are implemented in a centralized system—including closed-loop systems—first, before expanding the results to distributed systems. The benefits of the models are realized at the infant stage of connected vehicle deployment when the penetration rate of connected vehicles is around 10%. Furthermore, the benefits incentivize the growth of the penetration rate for drivers. In addition, this dissertation contains a performance evaluation in traffic delay, volume throughput, fuel consumption, emission, and safety by providing a case study of coordinated signalized intersections. The case study results show the solution of this dissertation could adapt early deployment of connected vehicle technology and apply to future connected vehicle technology development.

Indexing (document details)
Advisor: Zhang, LI
Commitee: Bian, Linkan, Gude, Veera Gnaneswar, Li, Pengfei
School: Mississippi State University
Department: Civil and Environmental Engineering
School Location: United States -- Mississippi
Source: DAI-B 80/01(E), Dissertation Abstracts International
Source Type: DISSERTATION
Subjects: Engineering, Civil engineering, Transportation
Keywords: Connected vehicle, Fuel consumption and emission, Safety, Signal optimization, Traffic signal coordination
Publication Number: 10841472
ISBN: 9780438313811
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