Use of Data Analytics to Ascertain Accident Risks at Roads and Traffic Junctions

Dr Tan Wu Meng asked the Minister for Transport (a) whether the Land Transport Authority (LTA) applies data analytics to ascertain which roads and traffic junctions have greater risk of accidents involving (i) vehicle-vehicle collisions (ii) pedestrians being hit by vehicles; (b) if so, whether the collation and analytics use artificial intelligence and has sight of (i) Traffic Police sensing (ii) reports of near-misses and (iii) crowdsourced feedback from the public; and (c) what is LTA doing to reduce the risk of pedestrian accidents and pedestrian accident deaths.

The Land Transport Authority (LTA) deploys a variety of tools and data sources to monitor and review operational roads, including traffic accident data from Traffic Police and feedback from the public. These form part of LTA's road safety assessments and informs its decisions regarding road safety enhancements, such as the installation of Red-Amber-Green arrows, implementation of traffic calming measures and the installation of additional crossing points, such as kerbless and zebra crossings.

Each year, LTA introduces about 1,000 of such road safety enhancement measures island wide. Each measure is tailored to cater to local road conditions and needs.

Other initiatives, like Silver Zones and Friendly Streets, lower speed limits along selected roads in residential areas, further reducing the risk of pedestrian accidents.