Rethinking traffic modelling for next generation city-scale networks

该项目旨在开发一种高效的交通模拟模型，以实现基于数据的交通监控和自动化模型开发，简化下一代城市在未来几十年将经历的根本性变革。该项目希望通过开发一种创新的方法来从不同的数据馈送中推断交通状况和出行者行为，并通过优化公式自动进行模型校准，从而产生交通建模方面的新知识。预期成果解决了最终向智能城市以及互联和自动驾驶汽车技术的过渡，通过优化规划和有效的运营方案提供显著的社会、经济和环境效益。

This project aims to develop an efficient traffic simulation model that enables data-informed traffic monitoring and automated model development, streamlining the fundamental transformation that next-generation cities will undergo in the coming decades. The project expects to generate new knowledge in traffic modelling by developing an innovative approach to inferring traffic conditions and traveller behaviour from diverse data feeds, and automating model calibration through an optimisation formulation. Expected outcomes address the eventual transition to smart cities and connected and autonomous vehicle technologies, providing significant social, economic and environmental benefits through optimal planning and effective operation schemes.