Dynamic Path Optimization in Sharing Mode to Relieve Urban Traffic Congestion
Dynamic Path Optimization in Sharing Mode to Relieve Urban Traffic Congestion
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DOI：
10.1155/2021/8874957
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发表时间：
2021-05
影响因子：
1.4
通讯作者：
Hong-min Chen;Yuanhang Zhang
中科院分区：
文献类型：
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作者：
Hong-min Chen;Yuanhang Zhang
近年来，中国引入了一种新的交通方式，即共享通勤公交车，它可以极大地减少上班族对私家车的依赖，缓解城市交通拥堵，但由于效率问题，这种交通方式并未得到广泛应用。本研究以提高共享通勤公交车的效率为目标，选取多个研究对象对共享通勤公交车的行驶路线进行优化。将站点选址问题与动态路径优化问题相结合，建立最短步行距离模型，选择最合适的站点位置。采用车辆路径问题模型和“关键点更新策略”对实时交通信息进行路径规划。最后，我们进行了实证研究来验证我们的结论。结果表明，该模型和算法都是可靠和有效的，可以有效地提高出行效率，缓解交通拥堵。
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.