自动驾驶汽车网约车服务的动态定价可靠性和性能改进

Qixing Wang, Fei Miao, Jie Wu, Yuanfang Niu, Chengliang Wang, N. Lownes
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引用次数: 0

摘要

随着自动驾驶汽车(av)成为运营网约车服务的可能,特别是当电信公司开始部署下一代无线网络(称为5G)时,许多新技术可能会应用于这些车辆。动态路线交换技术就是其中之一,它可以帮助车辆根据实时交通信息找到可能的最佳路线。然而,允许所有自动驾驶汽车选择自己的最佳路线并不是复杂城市网络的最佳解决方案,因为每辆汽车都忽略了它对道路系统的负面影响,因为它会造成额外的拥堵。因此,使用该系统可能会导致某些链路过度拥挤,从而导致整个路网系统性能下降。同时,出行时间的可靠性,特别是在高峰时段,是改善乘客乘车体验的重要因素。不幸的是,这两个问题得到的关注相对较少。本文设计了一种基于链路的动态定价模型,以同时提高路网系统和出行时间的可靠性。在这种方法中,我们假设所有路段都符合动态定价,自动驾驶汽车将完全了解最新的交通状况并遵循动态道路定价。开发了一种启发式方法来解决这个计算困难的问题。输出包括基于线路的附加费、新的出行需求和交通状况,这些将使系统性能提高到接近系统最优解,并保持出行时间的可靠性。最后,我们对苏福尔斯著名的测试网络进行了有效性和效率评估。
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Dynamic Pricing for Autonomous Vehicle E-hailing Services Reliability and Performance Improvement
As Autonomous Vehicles (AVs) become possible for E-hailing services operate, especially when telecom companies start deploying next-generation wireless networks (known as 5G), many new technologies may be applied in these vehicles. Dynamic-route-switching is one of these technologies, which could help vehicles find the best possible route based on real-time traffic information. However, allowing all AVs to choose their own optimal routes is not the best solution for a complex city network, since each vehicle ignores its negative effect on the road system due to the additional congestion it creates. As a result, with this system, some of the links may become over-congested, causing the whole road network system performance to degrade. Meanwhile, the travel time reliability, especially during the peak hours, is an essential factor to improve the customers’ ride experience. Unfortunately, these two issues have received relatively less attention. In this paper, we design a link-based dynamic pricing model to improve the road network system and travel time reliability at the same time. In this approach, we assume that all links are eligible with the dynamic pricing, and AVs will be perfect informed with update traffic condition and follow the dynamic road pricing. A heuristic approach is developed to address this computationally difficult problem. The output includes link-based surcharge, new travel demand and traffic condition which would improve the system performance close to the System Optimal (SO) solution and maintain the travel time reliability. Finally, we evaluate the effectiveness and efficiency of the proposed model to the well-known test Sioux Falls network.
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