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为解决公交车辆在运行过程出现的串车和大间隔等不可靠服务现象问题,提出基于模糊逻辑的公交实时调度控制模型。在智能公交系统环境下公交实时运行数据可获得性的前提下,以单条公交线路的车组为研究对象,考虑公交车辆位置和速度等实时数据,根据专家知识和经验确定模糊控制规则,分别设计站点间变速和站点处驻站两种模糊控制器,并采用遗传方法优化协调模糊控制器中隶属函数参数。仿真试验表明,与无控制和基于车头时距阈值驻站控制比较,基于模糊逻辑的实时组合控制方法能有效改善公交车辆在线路上车头时距的均衡性,显著地减少公交车辆串车和大间隔不可靠服务现象的发生,进而降低了乘客平均候车时间。
In order to solve the problem of unreliable service such as serial carts and large intervals during the operation of buses, a real-time bus scheduling model based on fuzzy logic is proposed. Under the environment of intelligent public transport system, under the premise of real-time operational data availability of bus, taking the bus group of single bus line as the research object, taking into account the real-time data such as the position and speed of the bus, the fuzzy control rules are determined according to the expert knowledge and experience, Two kinds of fuzzy controllers at stations and at stations, and uses genetic methods to optimize and coordinate the membership functions of fuzzy controllers. The simulation results show that compared with the uncontrolled and time-based station control, the real-time hybrid control method based on fuzzy logic can effectively improve the balance of bus headway on bus lines and significantly reduce the number of buses and large intervals Unreliable service phenomenon, thereby reducing the average passenger waiting time.