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A Fuzzy Dynamic Traffic Assignment Model for Real-Time Network Load Management

机译:实时网络负载管理的模糊动态流量分配模型

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摘要

Traffic assignment has received much attention since 1950s'. Stochasticity, dynamic and fuzziness are three characteristics of traffic assignment. Since drivers always have no perfect information about traffic conditions, they choose their route based on perceived travel time. Traditional traffic assignment model can only capture the Stochasticity and dynamic features of traffic assignment and cannot represent the fuzziness of driver's perception over travel time. Thus, we present a fuzzy dynamic traffic assignment (FDTA) model in this paper. By the definition of fuzzy perceived link travel time and fuzzy perceived path travel time, we use fuzzy shortest path algorithm to find the group of fuzzy shortest paths and assign traffic to each of them proportionally to their memberships. The proposed FDTA model can be used in the real-time network load management, especially with variable message signs.
机译:自1950年代以来,交通分配一直备受关注。随机性,动态性和模糊性是交通分配的三个特征。由于驾驶员始终没有关于交通状况的完美信息,因此他们根据感知的旅行时间选择路线。传统的交通分配模型只能捕获交通分配的随机性和动态特征,而不能代表驾驶员在行驶时间内感知的模糊性。因此,本文提出了一种模糊动态交通分配(FDTA)模型。通过模糊感知链接传播时间和模糊感知路径传播时间的定义,我们使用模糊最短路径算法找到模糊最短路径的组,并根据其成员资格按比例分配流量。所提出的FDTA模型可用于实时网络负载管理,特别是在消息符号可变的情况下。

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