Article: Timing optimisation method of traffic signal lights at congested intersections based on vehicle networking information collection Journal: International Journal of Internet Protocol Technology (IJIPT) 2025 Vol.18 No.4 pp.210 - 219 Abstract: With the aim of reducing the average delay time of vehicles and improving the passing rate of vehicles, this paper designs a timing optimisation method for traffic signal lights at congested intersections based on vehicle networking information collection. Data features are extracted through real-time collection of traffic flow data using vehicle networking technology to predict future traffic flow at specific times. The objective function is to minimise the average delay time of vehicles, and it is taken as the fitness value of individual manta rays. The manta ray foraging optimisation algorithm is iteratively optimised, and the optimal timing scheme is obtained when the fitness value changes by less than 10<SUP align=right><SMALL>−6</SMALL></SUP>. Experiment showed that after applying this method, the passing rate of vehicles ranged from 92.41% to 95.25% and the maximum average delay time of vehicles was only 5 seconds, indicating that the method effectively achieved the design expectations. Inderscience Publishers - linking academia, business and industry through research

Title: Timing optimisation method of traffic signal lights at congested intersections based on vehicle networking information collection

Authors: Suli Zhang; Yulin Jiao; Xinhua Wang

Addresses: Department of Traffic Management Engineering, Henan Police College, Zhengzhou, Henan Province, China; Henan Intelligent Transportation Technology Research Centre, Zhengzhou, Henan Province, China ' Department of Traffic Management Engineering, Henan Police College, Zhengzhou, Henan Province, China; Henan Intelligent Transportation Technology Research Centre, Zhengzhou, Henan Province, China ' Department of Traffic Management Engineering, Henan Police College, Zhengzhou, Henan Province, China

Abstract: With the aim of reducing the average delay time of vehicles and improving the passing rate of vehicles, this paper designs a timing optimisation method for traffic signal lights at congested intersections based on vehicle networking information collection. Data features are extracted through real-time collection of traffic flow data using vehicle networking technology to predict future traffic flow at specific times. The objective function is to minimise the average delay time of vehicles, and it is taken as the fitness value of individual manta rays. The manta ray foraging optimisation algorithm is iteratively optimised, and the optimal timing scheme is obtained when the fitness value changes by less than 10⁻⁶. Experiment showed that after applying this method, the passing rate of vehicles ranged from 92.41% to 95.25% and the maximum average delay time of vehicles was only 5 seconds, indicating that the method effectively achieved the design expectations.

Keywords: congested intersection; traffic light; timing for signal lights; internet of vehicles; long short-term memory network; optimisation algorithm for manta ray foraging; optimisation; average latency; traffic flow prediction.

DOI: 10.1504/IJIPT.2025.150239

International Journal of Internet Protocol Technology, 2025 Vol.18 No.4, pp.210 - 219

Received: 02 Apr 2025
Accepted: 16 May 2025
Published online: 04 Dec 2025 *

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Title: Timing optimisation method of traffic signal lights at congested intersections based on vehicle networking information collection

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