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Metaheuristic Algorithm of Multi-passengers Routing Path for Ride-Sharing Vehicle

机译:乘车共享车辆多乘客路由路径的成群质算法

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With the standard of medical treatment raised up, the number of population is increased. People need to the extent new space for living. The convenient traffic is part of people life. Internet of things (IoT) promotes the development of riding-sharing which solving traffic blocked problem and made transportation flexible. This paper focuses on multi-people path planning by sharing vehicle problem to have more convenient traffic. In the current, public transports have fixed route so that passengers need to wait for the bus at the bus stop. The route path always cannot satisfy the request of customers. This paper adopts novelty concept of the ride-sharing to solve multi-path and passenger schedule planning problem to have highly flexible traffic method. We considering the waiting time of passenger and short path problem, and then propose two algorithms based on metaheuristic algorithm. Simulation represents that proposed method can design the best-shared vehicle path for different environments.
机译:随着医疗标准的提高,人口数量增加。人们需要在范围内的生活空间。交通便利是人们生活的一部分。事情互联网(物联网)促进骑行共享的发展,解决交通阻止的问题,并使运输灵活。本文侧重于共享车辆问题的多人路径规划,以具有更方便的流量。在目前的情况下,公共交通工具有固定路线,以便乘客需要在巴士站等公共汽车。路径路径始终无法满足客户的请求。本文采用新颖性的乘车共享概念来解决多路径和客程计划问题,具有高度灵活的流量方法。我们考虑了乘客和短路问题的等待时间,然后提出了一种基于成群质算法的两种算法。模拟代表该方法可以为不同环境设计最佳共享的车辆路径。

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