Price Regulation Mechanism of Travelers’ Travel Mode Choice in the Driverless Transportation Network
Price Regulation Mechanism of Travelers’ Travel Mode Choice in the Driverless Transportation Network
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DOI：
10.1155/2020/9191834
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发表时间：
2020-05
影响因子：
2.3
通讯作者：
Jianhui Wu;Yuanfa Ji;Xiyan Sun;Yan Xu
中科院分区：
文献类型：
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作者：
Jianhui Wu;Yuanfa Ji;Xiyan Sun;Yan Xu
从交通供需角度研究无人驾驶出行方式选择的引导方法，假设所有车辆均为无人驾驶，建立多式联运出行市场模型，刻画多式联运无人驾驶交通网络的供需关系。针对非均衡的多式联运市场，提出了一种以供需偏差最小和价格管制幅度最小为目标的最优价格管制律。然后，证明了最优价格管制律的存在性、唯一性和稳定性.在算例的计算过程中，无人驾驶汽车和无人驾驶地铁的出行价格分别由拥堵费和地铁票价实现。研究结果表明，最优价格规制规律能够降低多模式出行市场的供需偏差，引导出行者在无人驾驶交通网络中选择合理的出行方式。
To study the guidance method of driverless travel mode choice from the perspective of traffic supply-demand, we assume that all vehicles are driverless and establish a multimodal travel market model to depict the supply-demand relationship of multimodal driverless transportation network. To regulate the disequilibrium multimodal travel market, an optimal price regulation law is proposed, which aims to minimize the supply-demand deviation and the amplitude of price regulation. Then, the existence, uniqueness, and stability of the optimal price regulation law are confirmed. In the calculation process of a numerical example, the travel prices of driverless car and driverless subway are realized by congestion fee and subway fare, respectively. The results indicate that the optimal price regulation law can reduce the supply-demand deviation of the multimodal travel market and guide travelers to choose a reasonable travel mode to travel in the driverless transportation network.