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- W2949479514 abstract "In view of the short of the coordinated control method for traffic signal optimization at regional multi-intersections, an agent model based on improved particle swarm optimization is proposed in this paper, which combines the multi-agent coordinated optimization method based on game theory. The optimal queuing length and average delay time between the intersections are optimized. The improved particle swarm optimization algorithm is used to optimize the coordination between multiple intersections. The Vissim simulation software is used to verify the control effect. The simulation results show that the coordinated optimal control proposed in this paper can effectively reduce the average vehicle delay and the average queue length of each intersection." @default.
- W2949479514 created "2019-06-27" @default.
- W2949479514 creator A5084965992 @default.
- W2949479514 date "2019-03-01" @default.
- W2949479514 modified "2023-09-27" @default.
- W2949479514 title "Research on Regional Traffic Coordination Optimization Control Based on Game Theory" @default.
- W2949479514 cites W1952987468 @default.
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- W2949479514 doi "https://doi.org/10.1109/itnec.2019.8729431" @default.
- W2949479514 hasPublicationYear "2019" @default.
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