FDA-VeD:未来需求感知的车辆调度服务

2020 IEEE International Conference on Services Computing (SCC) Pub Date : 2020-11-01 DOI:10.1109/SCC49832.2020.00052

Yang Guo, Weiliang Zhao, Jian Yang, Zizhu Zhang, Jia Wu, Tarique Anwar

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引用次数: 1

摘要

本文提出了一种基于未来需求的车辆调度服务(FDA-VeD)，根据预测的未来需求，考虑闲置车辆的重新安置，以达到较高的客运服务比率。我们在纽约出租车数据集上评估系统的性能。我们证明，与现有方法相比，我们的方法在低运营成本增加的情况下实现了显着更高的服务比率。

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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FDA-VeD: A Future-Demand-Aware Vehicle Dispatching Service

In this paper, we develop a Future-Demand-Aware Vehicle Dispatching Service (FDA-VeD) by considering the relocation of idle vehicles based on the predicted future demands in order to achieve high passenger serving ratio. We evaluate the performance of our system on New York taxi dataset. We demonstrate that our approach achieves a significantly higher serving ratio with a low operating cost increase in comparison with existing methods.

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2020 IEEE International Conference on Services Computing (SCC)

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