Area-wide urban traffic control: A Bee Colony Optimization approach |
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| Affiliation: | 1. @WalmartLabs, Walmart eCommerce, 850 Cherry Avenue, San Bruno, CA 94066, United States;2. University of California Davis and Tongji University, Shanghai, China;1. State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing, China;2. Department of Architecture and Civil Engineering, Chalmers University of Technology, Gothenburg, Sweden;1. Department of Transport and Planning, Faculty of Civil Engineering and Geosciences, Delft University of Technology, Delft, 2600 GA, The Netherlands;2. Dynamic Systems and Simulation Laboratory, School of Production Engineering and Management, Technical University of Crete, Technical University Campus, Chania, 73100, Greece |
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| Abstract: | ![]()
The paper describes a new method of optimizing traffic signal settings. The area-wide urban traffic control system developed in the paper is based on the Bee Colony Optimization (BCO) technique. The BCO method is based on the principles of the collective intelligence applied by the honeybees during the nectar collecting process. The optimal (or near-optimal) values of cycle length, offsets, and splits are discovered by minimizing the total travel time of all network users travelling through signalized intersections. The set of numerical experiments is performed on well-known traffic benchmark network. The results obtained by the BCO approach are compared with the results found by Simulated Annealing (SA). It has been shown that the suggested BCO approach outperformed the SA. |
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| Keywords: | Area-wide urban traffic control Fixed-time control Swarm Intelligence Bee Colony Optimization (BCO) |
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