Dynamic Local Vehicular Flow Optimization Using Real-Time Traffic Conditions at Multiple Road Intersections
Links to Fileshttps://ieeexplore.ieee.org/document/8648386
MetadataShow full item record
Type of Work21 pages
Citation of Original PublicationSookyoung Lee, Mohamed Younis, Aiswarya Murali, Meejeong Lee, Dynamic Local Vehicular Flow Optimization Using Real-Time Traffic Conditions at Multiple Road Intersections, Journals & Magazines, IEEE Access, Volume: 7, DOI: 10.1109/ACCESS.2019.2900360
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Subjectsadaptive traffic light control
k-commodity flow problem
traffic flow maximization
dynamic traffic management
Dynamic management of vehicular traffic congestion to maximize throughput in urban areas has been drawing increased attention in recent years. For that purpose, a number of adaptive control algorithms have been proposed for individual traffic lights based on the in-flow rate. However, little attention has been given to the traffic throughput maximization problem considering real-time road conditions from multiple intersections . In this paper, we formulate such a problem as maximum integer multi-commodity flow by considering incoming vehicles that have different outgoing directions. Then, we propose a novel adaptive traffic light signal control algorithm which opts to maximize traffic flow through and reduce the waiting time of vehicles at an intersection. The proposed algorithm adjusts traffic light signal phases and durations depending on real-time road condition of local and neighboring intersections. Via SUMO simulation, we demonstrate the effectiveness of the proposed algorithm in terms of traffic throughput and average travel time.