Roadrunner Proposal

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As a city-state that is scare of land, Singapore faces the challenge of a growing vehicle population. To address this issue, the Intelligent Transport System (ITS) aims to make the city-state’s transport system safer and more efficient. Some of these ITS solutions include the Expressway Monitoring Advisory System (EMAS) which monitors and alerts motorists of traffic incidents, and Electronic Regulatory Signs (ERS) which enhances the visibility of traffic signs. Under the Smart Mobility 2030 strategic plan, LTA hopes to pave the way for a more comprehensive and sustainable ITS ecosystem.

While ITS aims to provide a safer experience for motorists, there is currently no known system in place to analyze the occurrence of traffic accidents. Traffic accidents are inevitable in any country and Singapore is no exception. They pose a huge problem to the safety of road users as they often result in fatalities and injuries. Therefore, our group aims to analyse the patterns of traffic accidents in Singapore and provide recommendations to reduce the occurence of traffic accidents in Singapore.

Through our project, we aim to:

1. Detect patterns of traffic incidents in Singapore and identify potential accident hotspots
2. Analyse potential causes of traffic incidents in Singapore
3. Analyse traffic-related issues such as heavy congestions or roadworks
4. Evaluate the effectiveness of accident prevention measures implemented by LTA
5. Possible recommendations to LTA to further reduce traffic incidents

Data	Source	Data Type/Method
Example	Example	Example
Example	Example	Example
Example	Example	Example

1. Obtaining historical data of traffic incidents
There is currently no known data source that provides details on historical traffic incidents in Singapore. This poses a major challenge to us as there is no data to work with. The only data available online is a real-time API of traffic incidents. Hence, our team wrote a script to perform autonomous calling of the API at an interval of every one hour.