TfL to use artificial intelligence to run London's road network

Transport for London (TfL) is sounding out the market to establish how it can use data and artificial intelligence (AI) to tackle some of the challenges in the capital's road network. The idea is to add predictive capability to the organisation's Surface Intelligent Transport System (SITS) to enhance response to incidents such as roadworks, congestion and other unplanned events. The enhanced system would be able to accurately forecast the state of the road network after an incident and generate suggested response strategies, while modelling these strategies on the road network to create an effectiveness-based ranking. This would be the first time AI is used to manage London's road network. Data would also play a key role in the new version of SITS, which would draw on a wide range of historic and real-time datasets to predict reactions to incidents on the roads.