Effcient priority control model for multimodal traffc signals

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

Research output: Contribution to journalArticle

14 Scopus citations

Abstract

The paper presents a model for multimodal traffc signal priority control. The approach is based on an analytical model and a?exible implementation algorithm that considers real-time vehicle actuation. The analytical model considers the needs of different modes in a real-time connected vehicle environment. The model provides an optimal signal schedule that minimizes the total weighted priority request delay. The?exible implementation algorithm is designed to guarantee that the optimal signal schedule is applied with minimum negative impact on regular vehicles. The model has been tested in a simulation framework on two networks: San Mateo, California, and Anthem, Arizona. The simulation experiments showed that the model, when compared with fully actuated control, was able to reduce average delay and travel times for priority vehicles without a signifcant negative impact on passenger cars. The feld results of implementing the priority framework in the nationally affliated connected vehicles test bed in Anthem showed the effectiveness of the model in the real world.

Original languageEnglish (US)
Pages (from-to)86-99
Number of pages14
JournalTransportation Research Record
Volume2557
DOIs
StatePublished - Jan 1 2016

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Mechanical Engineering

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