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Dynamic traffic assignment in a bi-dimensional model
DOI:10.1080/21680566.2025.2450501.png)
摘要
En 中文
Bidimensional models represent the transportation system as a bi-dimensional fluid flowing on a bi-dimensional medium. This approximation allows modelling of very large networks with modest requirements in terms of input data and computational power. The objective of the paper is to develop a methodology for the calculation of dynamic traffic assignment equilibria within the framework of bidimensional models. The approach of the paper assumes a route choice based on instantaneous travel times and departure time based on experienced travel costs. The main issues addressed in the paper are the evaluation of travel times and the calculation of equilibria. Examples of applications on large networks illustrate the chosen approach.
Keyword:
GSOM model
traffic equilibrium
fixed point
instantaneous travel time
predictive travel time
期刊
IF:
3.4
论文数:
566
被引数:
1.2K
机构
引用论文
Multi-agent reinforcement learning for Markov routing games: A new modeling paradigm for dynamic traffic assignment马尔可夫路由游戏的多智能体强化学习: 动态交通分配的新建模范例

