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.

中文翻译：

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无人运输网络中旅行者出行方式选择的价格调节机制

为了从交通供需角度研究无人驾驶出行方式选择的指导方法，我们假设所有车辆都是无人驾驶，并建立了一种多式联运市场模型来描述多式无人驾驶交通网络的供求关系。为了规范非均衡多式联运旅游市场，提出了一种最优的价格调节法则，其目的是将供需偏差和价格调节幅度最小化。然后，确定了最优价格调节规律的存在，唯一性和稳定性。在数值示例的计算过程中，无人驾驶汽车和无人驾驶地铁的旅行价格分别通过拥堵费和地铁票价来实现。