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Intersection Signal Control Technology with Bus Priority

Xie Yi-sheng

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Abstract

An intersection fuzzy signal control method with bus priority is presented.The buses are given a priority spatially by the bus-only lanes and the bus-priority approaches.Meanwhile,the buses are given a priority temporally by the traffic signal control algorithm with bus priority.The core module of the signal control algorithm consists of green phase module,red phase module and decision module,of which the fuzzy control strategies are designed respectively.The control target is to make bus-weighted vehicle average delay minimum.Simulation results show,compared with fixed-time control,this control strategy not only can reduce bus mean delay significantly,but also can improve social vehicles' transit efficiency.So this control strategy can be put into practice.

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What this paper is about

An intersection fuzzy signal control method with bus priority is presented.The buses are given a priority spatially by the bus-only lanes and the bus-priority approaches.Meanwhile,the buses are given a priority temporally by the traffic signal control algorithm with bus priority.The core module of the signal control algorithm consists of green phase module,red phase module and decision module,of which the fuzzy control strategies are designed respectively.The control target is to make bus-weighted vehicle average delay minimum.Simulation results show,compared with fixed-time control,this control strategy not only can reduce bus mean delay significantly,but also can improve social vehicles' transit efficiency.So this control strategy can be put into practice.

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Available abstract

An intersection fuzzy signal control method with bus priority is presented.The buses are given a priority spatially by the bus-only lanes and the bus-priority approaches.Meanwhile,the buses are given a priority temporally by the traffic signal control algorithm with bus priority.The core module of the signal control algorithm consists of green phase module,red phase module and decision module,of which the fuzzy control strategies are designed respectively.The control target is to make bus-weighted vehicle average delay minimum.Simulation results show,compared with fixed-time control,this control strategy not only can reduce bus mean delay significantly,but also can improve social vehicles' transit efficiency.So this control strategy can be put into practice.

Key concepts: Bus priority, Computer science, Intersection (aeronautics), SIGNAL (programming language), Control bus, Control (management), Local bus, CAN bus

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