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arXiv 2202.01121cs.DCmath.OC
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基于智能城市基础设施的共享叫车服务分布式配车

Distributed Ride-Matching for Shared Ridehailing Service with Intelligent City Infrastructure

Seyed Mehdi Meshkani, Bilal Farooq

备注：
cite as: Meshkani, S.M., Farooq, B. (2022, September). Distributed Ride-Matching for Shared Ridehailing Service with Intelligent City Infrastructure. In 2022 IEEE International Smart Cities Conference (ISC2) (pp 1-6). 2022. ; authors note: the overlap has been removed in the revised version (Jan 7, 2022); arXiv admin note: text overlap with arXiv:2104.10022
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摘要：

高计算时间是集中式动态共享乘车服务中最重要的运营问题之一。为了解决这个问题，我们提出了一个分布式的乘车匹配系统，是基于车辆到基础设施（V2I）和基础设施到基础设施（I2I）的通信。在多伦多市中心道路网络上的应用表明，该分布式系统的计算速度提高了125倍，并显示出良好的可扩展性。此外，与集中式系统相比，拟议系统的服务率提高了7%。然而，集中式系统在等待时间和绕行时间方面分别改善了29%和17%。

英文摘要：

High computational time is one of the most important operational issues in centralized dynamic shared ridehailing services. To resolve this issue, we propose a distributed ride-matching system that is based on vehicle to infrastructure (V2I) and infrastructure to infrastructure (I2I) communication. The application on downtown Toronto road network demonstrated that the distributed system resulted in a speed-up of 125 times in terms of computational time and showed high scalability. Moreover, the service rate in the proposed system improved by 7% compared to the centralized. However, the centralized system showed 29% and 17% improvement in wait time and detour time, respectively.

机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。

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