Dynamic Traffic Assignment for regional networks with traffic-dependent trip lengths and regional paths
Dynamic Traffic Assignment for regional networks with traffic-dependent trip lengths and regional paths
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DOI：
10.1016/j.trc.2021.103076
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发表时间：
2021-06
期刊：
影响因子：
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通讯作者：
S. Batista;L. Leclercq;M. Menéndez
中科院分区：
文献类型：
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作者：
S. Batista;L. Leclercq;M. Menéndez
基于宏观基本图的聚合交通模型的应用中，行程长度的估计已被证明是一个关键特征。由于交通状况的变化，车辆在区域网络中行驶的路径和距离随时间而变化。在本文中，我们开发了一个方法框架，明确确定交通依赖的区域路径，并估计其行程距离。该框架被纳入一个动态交通分配模块，旨在针对区域网络的确定性和随机用户平衡。我们首先讨论如何区域路径和他们的特征行程长度的影响，在区域交通动态的变化。然后，我们测试所提出的方法来估计交通依赖的旅行距离的小型和中型网络，考虑到模拟环境。我们表明，我们的方法提供了很好的估计交通依赖的行程长度。我们的研究结果也揭示了时间依赖的行程长度如何影响该地区的交通动态的重要性。
The estimation of trip lengths has been proven to be a key feature for the application of aggregated traffic models based on the Macroscopic Fundamental Diagram. The paths and distances to be traveled by vehicles in regional networks vary over time, due to changes in the traffic conditions. In this paper, we develop a methodological framework to explicitly determine traffic-dependent regional paths and estimate their travel distances. This framework is incorporated into a dynamic traffic assignment module designed to target the Deterministic and Stochastic User Equilibrium in regional networks. We first discuss how regional paths and their characteristic trip lengths are influenced by changes in the regional traffic dynamics. We then test the proposed methodology for estimating traffic-dependent travel distances on small and medium-sized networks, considering a simulation environment. We show that our methodology provides good estimations of the traffic-dependent trip lengths. Our results also shed light on the importance of how time-dependent trip lengths influence the traffic dynamics in the regions.