# Plans to Enhance Traffic Management Systems by Leveraging AI and Predictive Analytics

- Date: 2026-08-04
- Added: 2026-09-04
- Who: Mr Melvin Yong Yik Chye · Mr Jeffrey Siow
- Source: https://sprs.parl.gov.sg/search/#/sprs3topic?reportid=written-answer-23925
- sgai: https://sgai.md/debates/written-answer-23925/
- License: sgai-authored content (summaries, translations, analysis) is CC BY 4.0 — attribute and link to sgai.md. Verbatim source text (Hansard, speeches, transcripts, policy documents) remains © its original rights holders and is reproduced for reference only. Terms: https://github.com/meltflake/sgai/blob/main/DATA-LICENSE.md

## Why it matters

LTA is piloting the use of ERP 2.0 data to dynamically optimise traffic lights, and AI-powered video analytics for incident detection will be rolled out progressively over the coming years.

## Summary

PAP MP Melvin Yong Yik Chye asked the Minister for Transport in a written question whether the Land Transport Authority (LTA) has plans to leverage artificial intelligence and predictive analytics to further enhance Singapore's traffic management systems, including optimising traffic signal timings and other traffic management measures in real time to reduce congestion. Minister for Transport Jeffrey Siow replied that LTA continually explores and leverages new technologies to improve traffic management and the efficiency of the road network. For example, with the transition to Electronic Road Pricing (ERP) 2.0, LTA can use ERP 2.0 data to enhance traffic management and transport planning, and is experimenting with using this data to dynamically optimise the traffic light signal system via the Cooperative and Unified Smart Traffic System, a smart traffic light control system that LTA is currently piloting. LTA is also enhancing its traffic incident detection capabilities using AI-powered video analytics so that motorists can be warned of incidents earlier; these capabilities will be progressively rolled out over the coming years. The answer gave no pilot scope, timeline or quantified targets.

## Key points

- LTA continually explores new technologies for traffic management; with the transition to ERP 2.0, it can use ERP 2.0 data to enhance traffic management and transport planning
- LTA is experimenting with ERP 2.0 data to dynamically optimise the traffic light signal system through the Cooperative and Unified Smart Traffic System, a smart traffic light control system now being piloted
- LTA is strengthening traffic incident detection with AI-powered video analytics so motorists are warned earlier, to be rolled out progressively over the coming years
- The answer gave no pilot scope, timeline or quantified congestion-reduction targets

## Full text

© Parliament of Singapore — reproduced for reference only.

78 Mr Melvin Yong Yik Chye asked the Minister for Transport whether LTA has plans to leverage artificial intelligence and predictive analytics to further enhance Singapore's traffic management systems, including optimising traffic signal timings and other traffic management measures in real time to reduce congestion.

Mr Jeffrey Siow : The Land Transport Authority (LTA) continually explores and leverages new technologies to improve traffic management and enhance the efficiency of Singapore's road network. For example, with the transition to Electronic Road Pricing (ERP) 2.0, LTA can leverage ERP 2.0 data to enhance traffic management and transport planning. We are experimenting with using this data to dynamically optimise the traffic light signal system to improve traffic flow via the Cooperative and Unified Smart Traffic System, which is a smart traffic light control system that LTA is currently piloting.

LTA is also enhancing its traffic incident detection capabilities by using artificial intelligence-powered video analytics, so that motorists could be warned of traffic incidents earlier. These capabilities will be progressively rolled out over the coming years to improve traffic flow.