论文标题
通过智能城市基础设施的分布式乘车匹配，用于共享乘车服务
Distributed Ride-Matching for Shared Ridehailing Service with Intelligent City Infrastructure
论文作者
论文摘要
高计算时间是集中动态共享乘车服务中最重要的操作问题之一。为了解决此问题，我们提出了一个基于基础架构（V2I）和基础架构（I2I）通信的基础设施（V2I）和基础架构的分布式骑行匹配系统。多伦多市中心的应用程序的应用程序表明，分布式系统在计算时间方面的加快速度为125次，并且显示出很高的可扩展性。此外，与集中化相比，拟议系统中的服务率提高了7％。但是，集中式系统的等待时间和绕行时间分别提高了29％和17％。
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.
