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Future Internet 2017, 9(4), 69; https://doi.org/10.3390/fi9040069

Signal Consensus in TSP of the Same Grid in Road Network

School of Microelectronics, Shandong University, Shandong 250100, China
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Received: 4 September 2017 / Revised: 12 October 2017 / Accepted: 18 October 2017 / Published: 24 October 2017
(This article belongs to the Special Issue Future Computing for Real Time Intelligent Systems)
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Abstract

In this paper, we propose a consensus algorithm with input constraints for traffic light signals in transit signal priority (TSP). TSP ensures control strategy of traffic light signals can be adjusted and applied according to the real-time traffic status, and provides priority for buses. We give the convergence conditions of the consensus algorithms with and without input constraints in TSP respectively and analyze the convergence performance of them by using matrix theory and graph theory, and PTV-VISSIM is used to simulate the traffic accident probability of three cases at intersections. Simulation results are presented that a consensus is asymptotically reached for all weights of priority; the algorithm with input constraints is more suitable for TSP than the algorithm without input constraints, and the traffic accident rate is reduced. View Full-Text
Keywords: transit signal priority; signal consensus; road network; input constraints; convergence performance transit signal priority; signal consensus; road network; input constraints; convergence performance
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Li, D.; Li, C.; Wang, Z.; Wang, D.; Xing, J.; Zhang, B. Signal Consensus in TSP of the Same Grid in Road Network. Future Internet 2017, 9, 69.

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