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Dynamic traffic modelling and dynamic stochastic user equilibrium assignment for general road networks

机译:通用道路网络的动态交通建模和动态随机用户均衡分配

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This paper investigates the requirements of dynamic traffic modelling, and proposes the deterministic queuing model as a plausible link performance function to describe the relationship between inflows, outflows, and link travel costs in time-varying condition. Then, it explains how we can perform logit-based stochastic network loading for general road networks in the dynamic case. In particular, this paper shows how to perform dynamic stochastic network loadings for many-to-many origin-destination pairs, and what should be considered to maintain correct flow propagation in the network loading process. Next, this paper shows how the stochastic dynamic user equilibrium (SDUE) assignment problem can be solved without direct evaluation of the objective function. For this purpose, a quadratic interpolation, the method of successive average, and the pure network loading method are adopted at the line-search step in the solution algorithm. Numerical examples show that the present SDUE assignment model with a quadratic interpolation gives rise to a convergent solution with good quality whilst needing less computation time. Furthermore, it is found that the predictive cost-flow association (Proceedings of the European Transport Conferences, Seminar F, P434, 1999, p. 79) is preferable to the reactive one because the former can produce consistent assignment patterns regardless of the size of dispersion parameter θ in the logit model for route choice.
机译:本文研究了动态交通建模的需求,并提出了确定性排队模型作为一种合理的链路性能函数,以描述时变条件下流量,流量和链路旅行成本之间的关系。然后,它说明了如何在动态情况下为一般道路网络执行基于Logit的随机网络加载。尤其是,本文显示了如何对多对多原始-目的地对执行动态随机网络加载,以及在网络加载过程中应考虑如何保持正确的流量传播。接下来,本文展示了如何在不直接评估目标函数的情况下解决随机动态用户均衡(SDUE)分配问题。为此,在求解算法的行搜索步骤中采用了二次插值,逐次平均法和纯网络加载法。数值算例表明,当前具有二次插值的SDUE分配模型可以产生收敛质量好的收敛解,而所需的计算时间更少。此外,还发现预测性成本流关联(欧洲运输会议论文集,F,P434,1999,第79页)比被动式更可取,因为前者可以产生一致的分配模式,而无论Logit模型中用于路径选择的色散参数θ。

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