Determining the number of collection points for autonomous vehicle-based service using gravity model

Máté Kulcsár, D. Földes, S. Nagy
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引用次数: 1

Abstract

Autonomous vehicles contribute to the development of on-demand mobility services for commuters in a metropolitan area. The aim of our research is to develop a method of determining the number of collection points for a shared autonomous vehicle-based mobility service. In the service, microcars are used to serve the demands. However, only the first and last kilometers of a trip are done by the microcars; they are transported together on a trailer for common route sections. The boarding and alighting of microcars are managed in collection points. The collection point number determination method is based on Newton’s model of gravity; variables about territorial and commuting aspects were considered (e.g., distance, public transportation availability, population, job opportunities, modal share, willingness to change). The method was applied to a certain part of the Budapest metropolitan area as a case study. The results contribute to the introduction of autonomous vehicle-based mobility services.
利用重力模型确定自动驾驶车辆服务的收集点数量
自动驾驶汽车有助于在大都市地区为通勤者提供按需移动服务。我们研究的目的是开发一种确定基于共享自动驾驶汽车的移动服务的收集点数量的方法。在服务中,微型汽车被用来满足需求。然而,只有旅程的前一公里和最后一公里是由微型汽车完成的;它们一起用拖车运输到公共路段。微型车的上、下均在集合点进行管理。收集点数量的确定方法基于牛顿引力模型;考虑了地域和通勤方面的变量(例如,距离、公共交通可用性、人口、工作机会、模式共享、改变的意愿)。该方法应用于布达佩斯大都市区的某一部分作为案例研究。研究结果有助于引入基于自动驾驶汽车的移动服务。
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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