Genetic algorithm methodology to optimize signal timing for vehicle and pedestrian delays

Zengyi Yang, Rahim F. Benekohal

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

There are two objectives for this research. One is to develop an effective procedure to optimize intersection signal timing by minimizing total delay for both vehicles and pedestrians. The second objective is to establish guidance for the pedestrian crossing phase pattern (two-way or scramble) and for the length of WALK phase when a scramble crossing is used. An optimization procedure for signal plans in an isolated intersection was developed. The procedure yielded up to four phases for vehicles with either the two-way or scramble pedestrian crossing phase. A simple Genetic Algorithm (GA) was used in finding suitable signal plans because of the existence of a very large solution searching space. Furthermore, a look-up table was generated to guide the decision between two-way and scramble phases. The guidance considered different combinations of vehicle and pedestrian volumes. Compared with the Highway Capacity Software (HCS) GA function, the proposed procedure has the same accuracy and slightly better capability when pedestrian delay is not considered. However, when pedestrian delay is considered in signal timing, such a comparison could not be made because HCS does not compute delay for pedestrians while the proposed GA procedure does.

Original languageEnglish (US)
Title of host publicationT and DI Congress 2011
Subtitle of host publicationIntegrated Transportation and Development for a Better Tomorrow - Proceedings of the 1st Congress of the Transportation and Development Institute of ASCE
Pages1157-1166
Number of pages10
DOIs
StatePublished - May 2 2011
Event1st Congress of the Transportation and Development Institute of ASCE - Chicago, IL, United States
Duration: Mar 13 2011Mar 16 2011

Publication series

NameT and DI Congress 2011: Integrated Transportation and Development for a Better Tomorrow - Proceedings of the 1st Congress of the Transportation and Development Institute of ASCE

Other

Other1st Congress of the Transportation and Development Institute of ASCE
CountryUnited States
CityChicago, IL
Period3/13/113/16/11

Keywords

  • Algorithms
  • Pedestrians
  • Traffic signals
  • Vehicles

ASJC Scopus subject areas

  • Transportation
  • Geography, Planning and Development

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  • Cite this

    Yang, Z., & Benekohal, R. F. (2011). Genetic algorithm methodology to optimize signal timing for vehicle and pedestrian delays. In T and DI Congress 2011: Integrated Transportation and Development for a Better Tomorrow - Proceedings of the 1st Congress of the Transportation and Development Institute of ASCE (pp. 1157-1166). (T and DI Congress 2011: Integrated Transportation and Development for a Better Tomorrow - Proceedings of the 1st Congress of the Transportation and Development Institute of ASCE). https://doi.org/10.1061/41167(398)111