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Stochastic Traffic Assignment Model Considering Park Ride Network and Travel Time Reliability

机译:考虑停车和乘车网络及行驶时间可靠性的随机交通分配模型

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Most existing state-of-the-art combined-modal traffic assignment models seldomly consider the influence of travel time reliability on travel behaviors. In order to reveal the influence of travel time reliability on travelers' route and mode choice behaviors, this paper constructs a combined inter-modal assignment model based on travel time reliability, which takes travel time and travel time reliability jointly constitute travel cost. The solution is then designed based on K-shortest paths algorithm coupled with successive average method. The validation of the proposed model and algorithm of solution are conducted using a real road network of Shanghai North Bund. The results are compared with that of the traditional models without consideration of the impact of travel time reliability. In addition, this research analyzes the effect of P&R policy on reducing traffic congestion as well as improving travel time reliability and demonstrates the three-dimensional relationship among the proportion of travel demand using two alternative modes, reliability preference factor and travel demand utility factor.
机译:大多数现有的最先进的组合模式交通分配模型很少考虑旅行时间可靠性对旅行行为的影响。为了揭示出行时间可靠性对出行路线和模式选择行为的影响,本文构建了一种基于出行时间可靠性的组合式联运分配模型,该模型将出行时间和出行时间可靠性共同构成出行成本。然后基于K最短路径算法和连续平均法设计解决方案。利用上海北外滩的真实道路网络对提出的模型和求解算法进行了验证。将结果与传统模型的结果进行比较,而不考虑行程时间可靠性的影响。此外,本研究分析了P&R政策对减少交通拥堵以及改善出行时间可靠性的影响,并使用可靠性偏好因子和出行需求效用因子这两种替代模式,论证了出行需求比例之间的三维关系。

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