Data-driven simulation of large traffic networks using trajectory data

该项目旨在开发一种低成本、数据驱动的框架，该框架可根据车辆轨迹数据自动和直接建立交通仿真模型，以实现对大规模交通网络的快速和可靠分析。该项目希望利用一种创新的方法，从越来越多可用的城市轨道数据中推断出行行为、运动模式和交通动态，从而在运输工程领域产生新的知识。预期成果包括改善对城市规划者和交通运营商的决策支持，增强交通管理和事件响应能力，通过优化道路使用和城市流量提供显著的社会、经济和环境效益。

This project aims to develop a low-cost, data-driven framework that builds a traffic simulation model automatically and directly from vehicle trajectory data to enable rapid and reliable analysis of large-scale traffic networks. The project expects to generate new knowledge in the area of transport engineering using an innovative approach to inferring travel behaviours, movement patterns and traffic dynamics from increasingly available urban trajectory data. Expected outcomes include improved decision support for urban planners and traffic operators and enhanced traffic management and incident response capabilities, providing significant social, economic and environment benefits through optimised road use and urban flow.