Adaptive coordination based on connected vehicle technology

Byungho Beak, Kenneth L Head, Yiheng Feng

Research output: Chapter in Book/Report/Conference proceedingChapter

12 Scopus citations

Abstract

This paper presents a methodology that integrates coordination with adaptive signal control in a connected vehicle environment. The model consists of two levels of optimization. At the intersection level, an adaptive control algorithm allocates the optimal green time to each phase in real time by using dynamic programming that considers coordination constraints. At the corridor level, a mixed-integer linear program is formulated on the basis of data from the intersection level to optimize offsets along the corridor. After the corridor-level algorithm solves the optimization problem, the optimized offsets are sent to the intersection-level algorithm to update the coordination constraints. The model was compared with actuated–coordinated signal control by means of Vissim simulation. The results indicate that the model can reduce average delay and average number of stops for both coordinated routes and the entire network.

Original languageEnglish (US)
Title of host publicationTraffic Signal Systems, Volume 1
PublisherNational Research Council
Pages1-12
Number of pages12
Volume2619
ISBN (Electronic)9780309441704
DOIs
Publication statusPublished - Jan 1 2017

Publication series

NameTransportation Research Record
Volume2619
ISSN (Print)0361-1981

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ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Mechanical Engineering

Cite this

Beak, B., Head, K. L., & Feng, Y. (2017). Adaptive coordination based on connected vehicle technology. In Traffic Signal Systems, Volume 1 (Vol. 2619, pp. 1-12). (Transportation Research Record; Vol. 2619). National Research Council. https://doi.org/10.3141/2619-01