Data-driven Traffic Analytics for Incident Analysis and Management

交通事故是世界上所有交通当局最关心的问题之一，因为它们在交通拥堵和延误、空气和噪音污染以及管理成本方面产生了重大影响。该项目旨在通过结合交通工程和数据科学的多学科研究工作，解决复杂和多模式交通网络中的事件分析和管理问题。预期的结果将是一个创新的事件分析和管理框架，协同交通数据分析和交通模拟建模，以及其关键的使能技术和原型系统。这将大大减轻事故对日常通勤者的影响。

Traffic incidents are among the primary concerns of all transport authorities around the world due to their significant impact in terms of traffic congestion and delay, air and noise pollution, and management cost. This project aims to address incident analysis and management in complex and multi-modal traffic networks by combining multidisciplinary research efforts from transportation engineering and data science. The intended outcomes will be an innovative incident analysis and management framework synergising traffic data analytics and traffic simulation modelling as well as its key enabling techniques and prototype systems. This will significantly help mitigate incident impacts on daily commuters.