Abstract
The slow traffic in cities with pedestrians and bicycles is becoming more and more important due to their environmental protection and low carbon. However, the driving at the road intersections is seriously mixed and easy to jam. Traffic delays mainly occur here. Improving the traffic efficiency of the intersections plays an important role for the alleviation of traffic congestion. In this paper, a multi-objective signal timing optimization model is established about the vehicle average delay, slow traffic delay, vehicle stopping times and traffic capacity. Then an improved particle swarm optimization algorithm (PSO) is used to solve it. The experimental results show that the model is optimized to reduce the vehicle delay, slow traffic delay and stopping times of an intersection, and then increase the traffic capacity. So the multiple indicators of an intersection are improved, which have significant effects on the increase of operational efficiency of an intersection.
This is a preview of subscription content, log in via an institution to check access.
Similar content being viewed by others
References
Webster FV (1958) Traffic signal settings. Road Research Technical Paper 39
Akcelick R (1981) Traffic signals: capacity and timing analysis. Publication of Australian Road Research Board
TRB (2000) Highway capacity manual (HCM). National Research Council, Washington, DC
Cao CT, Xu JM (2010) Multi-object traffic signal control method for single intersection. Comput Eng Appl 46:20–22
Hao JG, Hou ZS, Liu XB (2013) Vehicle queuing length balanced-control of the signalized isolated intersection via multi-parametric programming. Control Decision 4:595–599
Sun JR, Che GP et al (2015) Research on influences of comprehensive stay line area on passing capacity and delay at intersections. Technol Highway Transp 11:121–125
Geng JJ (2016) Traffic signal timing with multi-objective robust optimization and decision-making analysis under mixed traffic condition. Shanghai University
Song ZH, Shi Y et al (2017) The research of urban road grade intersection traffic organization optimization model. Mod Ind Econ Informationization 7:72–75
Niu ZQ, Du H, Li H (2016) Developing a hierarchical system for pedestrian and bicycle transportation: an example in Sanya, Hainan. Urban Transp China 5:11–17
Liu SB, Yang YY (2016) Protecting bicycle right-of-way under rapid motorization development in Hangzhou. Urban Transp China 5:18–28
Xu LJ, Wang ZJ et al (2016) Effects of different vehicle types on the capacity of merging transition section in urban road. J Southeast Univ (Nat Sci Ed) 46:646–650
Feng SM, Pei YL (2007) Research on delay of pedestrian crossing. J Harbin Inst Technol 39:613–616
Kennedy J, Eberhart R (1995) Particle swarm optimization: Neural Networks, Proceedings, IEEE International Conference, 1942–1948
Funding
This study is funded by NSFC (61672328), Development Projects of Science and Technology of Shandong Province (2015GGX101047, 2016GGX101024).
Author information
Authors and Affiliations
Corresponding author
Additional information
Publisher’s Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
About this article
Cite this article
Zhao, H., Han, G. & Niu, X. The Signal Control Optimization of Road Intersections with Slow Traffic Based on Improved PSO. Mobile Netw Appl 25, 623–631 (2020). https://doi.org/10.1007/s11036-019-01225-7
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11036-019-01225-7