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Dynamic Path Optimization in Sharing Mode to Relieve Urban Traffic Congestion

机译：共享模式中的动态路径优化，以缓解城市交通拥堵

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In recent years, a new mode of transportation, referred to as “shared commuter buses,” has been introduced, which can considerably reduce the dependence of office workers on private cars and relieve urban traffic congestion, but is not widely used owing to efficiency issues. Improving the efficiency of shared commuter buses was set as a goal, and in this study, several research objects were selected to optimize the driving routes of shared commuter buses. The problem of stop location is combined with dynamic route optimization; the “shortest walking distance” model is established to select the most appropriate location for stops. The vehicle routing problem model and “key point updating strategy” are employed to plan routes with real-time traffic information. Finally, we conduct an empirical study to validate our conclusions. The results show that both the model and algorithm are reliable and effective; thus, travel efficiency can be effectively improved and traffic jams can be alleviated.
机译：近年来，已经引入了一种新的运输方式，被提出称为“共享通勤公共汽车”，这可以大大减少办公室工作人员对私家车的依赖，并缓解城市交通拥堵，但由于效率问题并未被广泛使用。提高共享通勤总线的效率被设定为目标，并在本研究中选择了几项研究对象以优化共享通勤总线的驾驶路线。停止位置的问题与动态路由优化相结合;建立“最短的步行距离”模型，以选择最合适的停止位置。车辆路由问题模型和“关键点更新策略”用于计划具有实时交通信息的路由。最后，我们进行了实证研究以验证我们的结论。结果表明，模型和算法都可靠且有效;因此，可以有效地改善旅行效率，并且可以减轻交通堵塞。

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