Macroscopic pricing schemes for the utilization of pool ride-hailing vehicles in bus lanes

Lynn Fayed, Gustav Nilsson, Nikolas Geroliminis
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Abstract

With the increasing popularity of ride-hailing services, new modes of transportation are having a significant impact on the overall performance of transportation networks. As a result, there is a need to ensure that both the various transportation alternatives and the spatial network resources are used efficiently. In this work, we analyze a network configuration where part of the urban transportation network is devoted to dedicated bus lanes. Apart from buses, we let pool ride-hailing trips use the dedicated bus lanes which, contingent upon the demand for the remaining modes, may result in faster trips for users opting for the pooling alternative. Under an aggregated modelling framework, we characterize the spatial configuration and the multi-modal demand split for which this strategy achieves a system optimum. For these specific scenarios, we compute the equilibrium when ride-hailing users can choose between solo and pool services, and we provide a pricing scheme for mitigating the gap between total user delays of the system optimum and user equilibrium solutions, when needed.
公交车道上拼车利用的宏观定价方案
随着打车服务的日益普及,新的交通模式对交通网络的整体性能产生了重大影响。因此,有必要确保各种交通方式和空间网络资源都能得到有效利用。在这项工作中,我们分析了一种网络配置,其中城市交通网的一部分专门用于公交专用道。除公交车外,我们还让合乘出行使用专用公交车道,这取决于对其余交通方式的需求,可能会为选择合乘出行的用户带来更快的出行速度。在综合建模框架下,我们描述了该策略实现系统最优的空间配置和多模式需求分割。针对这些特定情景,我们计算了当打车用户可以在单人服务和拼车服务之间做出选择时的均衡状态,并提供了一种定价方案,用于在必要时缩小系统最优方案与用户均衡方案之间的用户总延迟差距。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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