Online Vehicle Dispatch: from Assignment to Scheduling

Kangjia Zhao, Wenqing Chen, Kong-wei Lye
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引用次数: 3

Abstract

The available prior demand data will make it possible for the ride hailing platform to make the central control strategies, which plan a sequence of trips for drivers in a certain future time period, so that a system optimal vehicle dispatch could be achieved. However, handling a large scale booking requests within the restrictive computing time to achieve an optimal vehicle dispatch is a big challenge. This paper proposes an optimization framework for the online vehicle dispatch problem by adopting vehicle scheduling methodology. A novel approach is introduced to solve the optimization challenges of the large problem size and the limited computing time. The designed optimization framework is validated by the real-world demand data in Singapore.
在线车辆调度:从分配到调度
可用的先验需求数据将使网约车平台有可能制定中央控制策略,在未来某一段时间内为司机规划一系列行程,从而实现系统最优的车辆调度。然而,如何在有限的计算时间内处理大规模的预约请求以实现最优的车辆调度是一个很大的挑战。本文采用车辆调度方法,提出了在线车辆调度问题的优化框架。提出了一种解决问题规模大、计算时间有限的优化方法。设计的优化框架通过新加坡的实际需求数据进行了验证。
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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