Research on Real-Time Arterial Coordination Traffic Signal Control Model Based on Minimum Per Capita Delay

Authors

Li Yang, School of Civil and Transportation Engineering, Beijing University of Civil Engineering and Architecture, Beijing 100044, China;
Pengpeng Jiao, School of Civil and Transportation Engineering, Beijing University of Civil Engineering and Architecture, Beijing 100044, China;
Meiqi Liu, School of Civil and Transportation Engineering, Beijing University of Civil Engineering and Architecture, Beijing 100044, China;

Abstract

Abstract: To improve overall efficiency for all travelers of artery system, a real-time arterial coordination traffic signal control model was proposed. The model not only satisfied minimum per capita delay for all travelers on motor vehicles, but also selected effective green time and phase difference as the optimized parameters. The model of vehicle head delay and team tail delay was established based on traffic wave theory. The vehicle delay model for bus and social vehicles was developed in light of different occupancy rates, besides, the per capita delay could be obtained by introducing it. The results show that the overall average stop frequency and average speeds of artery are significantly improved. Meanwhile, the average travel time of segments between intersections is obviously decreased.

Recommended Citation

Yang, Li; Jiao, Pengpeng; and Liu, Meiqi (2020) "Research on Real-Time Arterial Coordination Traffic Signal Control Model Based on Minimum Per Capita Delay," Journal of System Simulation: Vol. 29: Iss. 9, Article 9.
DOI: 10.16182/j.issn1004731x.joss.201709009
Available at: https://dc-china-simulation.researchcommons.org/journal/vol29/iss9/9

First Page

1938

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.201709009

Last Page

1944

CLC

U491

Recommended Citation

Li Yang, Jiao Pengpeng, Liu Meiqi. Research on Real-Time Arterial Coordination Traffic Signal Control Model Based on Minimum Per Capita Delay[J]. Journal of System Simulation, 2017, 29(9): 1938-1944.

Corresponding Author

Pengpeng Jiao,

DOI

10.16182/j.issn1004731x.joss.201709009