基于多传感器及网络信息融合的公交调度系统建模与仿真

Modeling and simulation of bus dispatching system based on the multi-sensor and network information fusion

为解决城市交通严峻的拥堵问题,提出一种基于实时交通信息的公交调度系统优化模型。将公交基础设施与多种分布式传感器设备联合,构建终端交通信息监测系统网络,实时采集公交信息。利用视觉候车人数检测系统、IC卡及GPS等实现上车人数的检测,通过公交车内置摄像机对下车人数统计,根据3D模型车辆识别法对车流量统计,并且由公交查询软件实现了基于"互联网+公交"大数据技术的实时公交信息挖掘。然后由网络传输系统将各区段乘客信息迅速反馈至调度总部,最终实现有效地公交系统调度。由基于Extendsim及元胞自动机的仿真表明,文中设计的系统模型能够有效地改善城市交通系统调度的实时性与精准度。

mIn order to solve the problem of severe traffic congestion in urban traffic, a bus system optimization dis-patching model based on real time traffic information was designed. Combining bus infrastructure with a variety of distributed multi-sensor devices, the terminal traffic information monitoring system network was constructed to col-lect the bus information in real time. Combining visual waiting passengersr number detection system, IC card and GPS to achieve the calculation of the number of passengers that getting on, and the number of people getting off the bus was counted by the built-in camera. 3D model of vehicle identification method was used for traffic flow statis-tics. Public transport query software was used to collect bus information, so the mining of public traffic information was successfully realized based on the ＂Internet plus bus＂ big data technology. Then by the network transmission system, the passenger information of each section can be fed back to the headquarters. Finally, the effective dis-patching of public traffic system was realized. The simulation based on Extendsim and cellular automata shows that the system model designed in this paper can effectively improve the real-time performance and accuracy of urban traffic system dispatching.