Abstract:

In the current taxi dispatch system, taxi may need to pass the congested area of the city, which delayed its arrival to the passengers. This paper analyzes taxi scheduling based on urban road traffic status. The loss equation through the traffic area of taxi is developed with the road traffic information automatically uploaded by taxies. Considering the distance data among different intersections, the paper adopts the Dijkstra algorithm to obtain optimal scheduling path. Simulation results show the scheduling, routes and time to avoid congested areas by different unit additional loss (β) values. Finally, compared with the traffic scheduling system without considering congestions, the proposed system is able to design reasonable taxi routs to avoid severe congested areas by setting appropriate β value and severity analysis of traffic congestion.

Key words: intelligent transportation systems (ITS), dispatch system, global positioning system (GPS), traffic congestion, taxi

摘要：

在目前的出租车调度系统中，调度的出租车可能需要经过城市堵车区域，不能及时为乘客提供服务，本文对城市道路堵车对出租车调度的影响进行研究.根据出租车自动上传的城市道路堵车信息，建立出租车通过堵车区域的损耗方程，结合城市各道路交叉路口之间的距离，采用Dijkstra算法对最佳调度路径进行求解.实验仿真结果给出了发生堵车时，不同单位额外损耗(β)情况下对应的调度路程、路径和规避堵车区域发生的时间.最后与未考虑城市道路堵车的调度系统进行比较.比较结果表明，通过设置合理的(β)值，系统可根据堵车严重程度，合理规划出租车路径，规避堵车较严重区域 .

关键词: 智能交通, 调度系统, 全球定位系统(GPS), 堵车, 出租车