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首页> 外文期刊>Trends in Ecology & Evolution >A COMPUTATION METHOD ON TIME-DEPENDENT ACCESSIBILITY OF URBAN RAIL TRANSIT NETWORKS FOR THE LAST SERVICE
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A COMPUTATION METHOD ON TIME-DEPENDENT ACCESSIBILITY OF URBAN RAIL TRANSIT NETWORKS FOR THE LAST SERVICE

机译:对最后一次服务的城市轨道交通网络的时间依赖性可访问性的计算方法

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摘要

Urban rail transit networks seldom provide 24-hour service. The last train is the latest chance for passengers. If passengers arrive too late to catch the last train, the path becomes inaccessible. The network accessibility thus varies depending on the departure time of passenger trips. This paper focuses on the computation method on the time-dependent accessibility of urban rail transit networks in order to facilitate the itinerary planning of passengers. A label setting algorithm is first designed to calculate the latest possible times for Origin-Destination (O-D) pairs, which is the latest departure times of passengers from the origins such that the destinations can be reach successfully. A searching approach is then developed to find the shortest accessible path at any possible departure times. The method is applied in a real-world metro network. The results show that the method is a powerful tool in solving the service accessibility problem. It has the ability to allow passengers to plan an optimal itinerary. Comparison analysis indicates that the proposed method can provide exact solutions in much shorter time, compared with a path enumeration method. Extensive tests on a set of random networks indicate that the method is efficient enough in practical applications. The execution time for an O-D pair on a personal computer with 2.8 GHZ CPU and 4GB of RAM is only 1.2 s for urban rail transit networks with 100 transfer stations.
机译:城市轨道交通网络很少提供24小时服务。最后一列火车是乘客的最新机会。如果乘客到达赶上最后一列火车的乘客太晚了,那么该路径将无法进入。因此,网络可访问性根据乘客旅行的出发时间而变化。本文重点介绍了城市轨道交通网络的时间依赖性可访问性的计算方法,以促进乘客的行程规划。首先设计标签设定算法,以计算原始目的地(O-D)对的最新可能时间,这是来自起源的乘客的最新出发时间,使目的地可以成功达成。然后开发了一种搜索方法来在任何可能的出发时间内找到最短的访问路径。该方法应用于真实世界地铁网络。结果表明,该方法是解决服务可访问性问题的强大工具。它有能力允许乘客计划最佳的行程。比较分析表明,与路径枚举方法相比,所提出的方法可以在更短的时间内提供精确的解决方案。在一组随机网络上进行广泛测试表明该方法在实际应用中有效。带有2.8 GHz CPU和4GB RAM的个人计算机上的O-D对的执行时间仅为100个传输站的城市轨道交通网络仅为1.2秒。

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