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Accommodating user preferences in ad hoc shared ride trip planning using GIS

机译:使用GIS在临时共享出行计划中适应用户偏好

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Ad hoc shared ride trip planning (SRTP) utilizes mobile devices, geo-sensors and wireless networks to match on-the-fly individual travel demand with transport supply. It represents one of many alternatives to single occupancy vehicle use. This paper outlines a SRTP approach via a two-phase algorithm based on user preferences in a time-dependent routing. Whereas current algorithms use minimization of travel time as the only optimization criterion in trip planning, in the framework presented here, the user can specify multiple trip preferences including travel time, walking time, number of transfers between cars and trip length. Various scenarios are simulated in the city of Tehran (Iran) to demonstrate how preference settings affect the routes of ad hoc shared journeys.
机译:临时共享出行计划(SRTP)利用移动设备,地理传感器和无线网络来将即时的个人出行需求与运输供应相匹配。它代表了单人车辆使用的多种选择之一。本文概述了一种基于两阶段算法的SRTP方法,该算法基于时间依赖性路由中的用户偏好。尽管当前的算法使用行程时间的最小化作为行程计划中的唯一优化标准,但是在此处介绍的框架中,用户可以指定多个行程偏好,包括行程时间,步行时间,汽车之间的转乘次数和行程长度。在德黑兰市(伊朗)中模拟了各种场景,以演示偏好设置如何影响临时共享旅程的路线。

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