Incentivised strategic traffic assignment: bi-level transport optimisation

该项目旨在提高与交通网络分配相关的基本知识库和方法建模能力，以表示复杂的激励结构，如网络定价、行为换挡诱导、动态速度控制和信息提供。预期结果包括描述旅行者对激励结构的反应和与激励结构互动的新均衡公式，同时保持先前研究的复杂随机适应行为，新的网络路线选择算法，以及用于寻求最优激励政策的新的双层优化方法。该项目将为激励战略的量化网络评估提供科学依据，这些战略将支持加强交通规划，从而改善全社会的机动性。

This project aims to advance the fundamental knowledge base and methodological modelling capacity related to traffic network assignment representing complex incentive structures such as network pricing, behavioural shift inducement, dynamic speed control and information-provision. Expected outcomes include new equilibrium formulations characterising traveller responses to, and interactions with, incentive structures while maintaining complex stochastic adaptive behaviours from previous research, new network routing algorithms, and a novel bi-level optimisation approach for seeking optimal incentive policies. The project will provide a scientific basis for the quantified network evaluation of incentivisation strategies that will support enhanced transport planning thereby improving mobility across society.