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础知识基础和方法建模能力，这些分配代表了复杂的激励结构，如网络定价、行为转移诱导、动态速度控制和信息提供。预期结果包括新的平衡公式，描述旅行者对激励结构的反应和相互作用，同时保持先前研究中复杂的随机适应行为，新的网络路由算法，以及寻求最优激励政策的新的双层优化方法。该项目将为激励策略的量化网络评估提供科学依据，以支持加强交通规划，从而改善全社会的流动性。

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.