摘要
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。
To solve the unreliable service problem such service, a real.time scheduling control model based on as bus bunching and long gap in the process of bus fuzzy logic is proposed. In the premise of available real-time data of public transport under intelligent public transpor system, taking the bus group on single bus line as the research subject, considering the real-time data such as bus location and bus speed in this model, 2 fuzzy controllers for speed change between bus stops and strategy of holding at stop are designed according to the fuzzy control rules determined by expert knowledge and experience. The parameters of membership functions are optimized by adopting genetic algorithm. The simulation experiment shows that compared with the method without control and time headway threshold based holding control strategy, the proposed real-time composite control method based on fuzzy logic caneffectively improve the balance of time headway of buses on route, and significantly help reducing the phenomena of bus bunching and long gap along the route, and reduce the average passenger waiting time.
出处
《公路交通科技》
CAS
CSCD
北大核心
2016年第9期141-147,共7页
Journal of Highway and Transportation Research and Development
基金
国家自然科学基金项目(61203162)
湖南省哲学社会科学基金项目(13YBB153)
湖南省教育厅科学研究项目(14C0763)
关键词
交通工程
实时控制
模糊逻辑
公交系统
可靠性
traffic engineering
real-time control
fuzzy logic
transit system
reliability
