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EVALUATING THE IMPACTS OF PARKING APP SERVICES ON TRAVELLERS' CHOICE BEHAVIOUR AND TRAFFIC DYNAMICS

机译:评估停车应用服务对旅行者选择行为和交通动态的影响

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摘要

As the products of intelligent transportation systems, parking apps have become convenient platforms for implementing parking policies, which can be provided as parking app services. This paper proposes a traffic simulation model for evaluating the impacts of parking app services on the travellers' choice behaviour and traffic dynamics. 'Travellers are assumed to use three types of parking app services: the provision of information on real-time parking lot occupancies, parking reservation, and the display of dynamic parking fees. The behaviour of travellers, such as travellers' mode choices, departure time choices, and learning behaviour, are considered in this model. Numerical experiments show that providing information on real-time parking lot occupancies can be helpful in reducing the use ratio of commercial parking lots, but the effect will ultimately be smoothed during the evolution of traffic dynamics. Moreover, parking reservation is an effective way to reduce travel costs and encourage travellers to choose park-and-ride. Furthermore, dynamic parking fees usually lead to the oscillation of traffic dynamics and travellers 'choices, in addition to an increase in travel costs. This model is a useful tool for analysing the impacts of other parking management policies that can be implemented as parking app services and can be a reference for evaluating the impacts of other parking polices.
机译:作为智能交通系统的产品,停车应用程序已成为实施停车策略的便捷平台,可作为停车应用服务提供。本文提出了一种用于评估停车应用服务对旅行者选择行为和交通动态的影响的流量仿真模型。 “旅行者被假设使用三种类型的停车应用服务:提供有关实时停车场占用,停车预订和动态停车费的显示信息。在该模型中考虑了旅行者的行为,例如旅行者模式选择,出发时间选择和学习行为。数值实验表明,提供有关实时停车场占用的信息可能有助于降低商业停车场的使用比率,但在交通动态的演变期间最终将在交通动态的演变期间平滑效果。此外,停车预订是降低旅行成本的有效途径,并鼓励旅行者选择公园和骑车。此外,除了增加旅行成本外,动态停车费通常会导致交通动态和旅行者的选择。该模型是分析可以实现为停车应用服务的其他停车管理策略的影响的有用工具,可以参考评估其他停车策略的影响。

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