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首页> 外文会议>18th world congress on intelligent transport systems : Featuring its america's annual meeting and exposition >RELIABLE PATH OF TRAVEL TIME IN STOCHASTIC NETWORK USING MONTE-CARLO SIMULATION
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RELIABLE PATH OF TRAVEL TIME IN STOCHASTIC NETWORK USING MONTE-CARLO SIMULATION

机译：蒙特卡罗模拟的随机网络中旅行时间的可靠路径

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Both the length of travel time and the variation of travel time should be consideredrnby determining the better travel path for getting destination reliably. The variation ofrntravel time will affect the reliability of path, and it should be involved into thernsearching criterion for travel path between two ends of trip. The researchrndemonstrates the time-dependent nature of travel time and identifies the distributionrnof travel time by a survey of travel time and also establishes a method of deriving thernreliability of travel time by adding the distribution of expected travel time to thernmodel of finding the reliability of travel time and using Monte Carlo simulationrntechnique to search the reliable path. The study applies the multi-distribution methodrnto deal with the stochastic and time-dependent nature of travel time, and deriving therntravel time reliability of path by simulating path by path. An algorithm integrating thernK-shortest path algorithm and path travel time reliability calculation is subsequentlyrnproposed to search the most reliable path of the paths which perform better in thernproperty of expected travel time for proposed path.
机译：通过确定更好的行进路径以可靠地到达目的地，应该考虑行进时间的长度和行进时间的变化。行程时间的变化会影响路径的可靠性，应纳入行程两端之间行程的搜索准则。该研究表明了旅行时间的时间依赖性，并通过对旅行时间的调查确定了旅行时间的分布，并建立了一种通过将期望旅行时间的分布添加到找到旅行时间可靠性的模型中来得出旅行时间可靠性的方法。并使用蒙特卡罗模拟技术搜索可靠路径。该研究采用多分布方法来处理旅行时间的随机性和时间依赖性，并通过逐路径模拟来推导路径的旅行时间可靠性。随后提出了一种将最短路径算法和路径行进时间可靠性计算相结合的算法，以搜索路径的最可靠路径，该路径在建议路径的预期行进时间性能方面表现更好。

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