Linkage Projects - Grant ID: LP200301389

城市走廊的预测分析与实时交通控制。该项目旨在为城市走廊的多式联运管理开发预测性数据分析和实时交通控制和安全模型，服务于两个重要目标：(1)优化多式联运交通的人员吞吐量；(2)将所有模式的安全风险降至最低。其结果将是一个基于传感器的自动化平台，用于监控所有模式的交通流量，并实时做出主动和协调的控制决策。预期的好处是深远的；开发的算法和平台将显著减少所有交通方式的交通拥堵、旅行延误和安全风险，特别是对于易受伤害的道路使用者(如行人和骑自行车的人)。

Predictive Analytics and Real-time Traffic Control for Urban Corridors. This project aims to develop predictive data analytics and real-time traffic control and safety models for multimodal management of urban corridors, serving two salient objectives: (1) optimising person-throughput of multimodal traffic; while (2) minimising safety risks for all modes. The outcome will be an automated, sensor-based platform to monitor traffic flows from all modes and make proactive and coordinated control decisions in real-time. The expected benefits are profound; the developed algorithms and platform will significantly reduce traffic congestion, travel delays and safety risks for all modes of transport, especially for vulnerable road users (e.g. pedestrians and cyclists).