Arterial Signal Offset Optimization Using Crowdsourced Speed Data

Liang Xia, Xiaofeng Li, Mohammad Razaur Rahman Shaon, Yao Jan Wu, Xinguo Jiang

Research output: Chapter in Book/Report/Conference proceedingChapter

1 Scopus citations


Signal offset for coordinated traffic signal control is traditionally optimized based on posted speed limit, free-flow speed, or average speed among intersections, without considering the variations of travel speed. Variation in travel speed caused by interference on arterials may lead to inaccurate offset estimation, reducing the efficiency of coordination control. Therefore, this study develops an arterial offset optimization method for traffic signal coordination control using real-time speed collected from high-resolution crowdsourced data. The objective of the proposed method is to minimize the average delay on the corridor. The optimization problem is formulated as integer programming, and a genetic algorithm (GA) is utilized to search for the best offset solution. The proposed method is evaluated on a major arterial (Speedway Boulevard) in Tucson, Arizona. In the numerical exercise, the effectiveness and performance of the proposed method are evaluated in various scenarios, including a scenario with non-recurring congestion. The results show that using high-resolution real-time speed data can reduce travel delay time in a coordinated direction by 32.5% and 17.6% when compared with methods using speed limit and free-flow speed, respectively, and the proposed method is more reliable and robust for handling traffic conditions with varying volume and speed.

Original languageEnglish (US)
Title of host publicationTransportation Research Record
PublisherSAGE Publications Ltd
Number of pages10
StatePublished - Feb 2023


  • arterial
  • data and data science
  • operations
  • optimization
  • signalized intersection
  • speed data
  • traffic signal systems
  • urban transportation data and information systems

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Mechanical Engineering


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