Connected vehicle-based adaptive signal control and applications

Yiheng Feng, Mehdi Zamanipour, K. Larry Head, Shayan Khoshmagham

Research output: Contribution to journalArticlepeer-review

30 Scopus citations


Basic signal operation strategies allocate green time to different traffic movements to control the flow at an intersection. Signal control applications consider different objectives, such as coordination with multiple intersections, multimodal priority, and safety. Real-time signal control applications rely mainly on infrastructure-based detection data. With the emergence of connected vehicle technology, high-resolution data from connected vehicles will become available for signal control. This paper presents a framework that uses connected vehicle data for adaptive signal control and considers dilemma zone protection, multimodal signal priority, and coordination. Initially, the market penetration rate of connected vehicles will be low, so infrastructure-based detector actuation logic is integrated into the framework to improve performance. Simulation analysis demonstrated good results when the penetration rate was medium to high and that the actuation logic was necessary when the penetration rate was low.

Original languageEnglish (US)
Pages (from-to)11-19
Number of pages9
JournalTransportation Research Record
StatePublished - 2016

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Mechanical Engineering


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