Real-time Risk Assessment Assistance for Cooperative mode using V2X for vehicles and pedestrians in urban conditions

Avatar for Dan CHIA
Dan CHIA    
Associate Professor

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Avatar for Forest TAN
Forest TAN    
Associate Professor

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Avatar for Yiyang PEI
Yiyang PEI    
Associate Professor

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Avatar for Peter WASZECKI
Peter WASZECKI    
Assistant Professor

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Avatar for Jianxin ZHENG
Jianxin ZHENG    
Associate Professor

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Avatar for Indriyati ATMOSUKARTO
Indriyati ATMOSUKARTO    
Associate Professor

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Avatar for Cindy Goh (UOG)
Cindy GOH (UOG)    
Researcher
Avatar for Sye Loong Keoh (UOG)
Sye Loong KEOH (UOG)    
Researcher
Avatar for Jerry Hoe (MOOVITA)
Jerry HOE (MOOVITA)    
Researcher
Avatar for Harris Kristanto (strides FRONTIER)
Harris KRISTANTO (strides FRONTIER)    
Researcher

eRaC (Real-time Risk Assessment Cooperative mode) informs drivers in advance of potential hazardous events at specific times and locations, allowing sufficient reaction time. ReRaC provides real-time risk data, focuses on unregulated traffic areas, and delivers remote warnings and event detection. 

Problem statement:

Most accidents occur because drivers fail to maintain proper awareness, lacking sufficient environmental information to foresee potential hazards.


Project Implementation:

The concept is deployed and tested at Ngee Ann Polytechnic, where drivers use a mobile application to evaluate its effectiveness in providing remote warnings and detecting events.
 

Acknowledgements
  • This work was supported by the National Research Foundation, Singapore, and the Land Transport Authority of Singapore under its Urban Mobility Grand Challenge Programme (UMGC-L013). Any opinions, findings and conclusions or recommendations expressed in this material are those of the author(s) and do not reflect the views of National Research Foundation, Singapore and the Land Transport Authority of Singapore
  • Lead PI is from SIT A/P Dan Chia Wei Ming. The project is a collaboration between Singapore Institute of Technology, MooVita, University of Glasgow Singapore and Strides
A collection of six photographs showing camera hardware installed on poles at various outdoor locations, numbered Location 1 through Location 6.
A screenshot of a monitoring interface featuring a live camera feed on the left and a map on the right. The map displays a "Risk Rating" and "Speed" alert, with a path highlighting pedestrian and vehicle proximity.

ReRAC deployment at unregulated junctions

Four sequential video frames showing a parking area with an automated "People detected" analysis. The system uses colored grid overlays (green, yellow, and red) to monitor zones and draw bounding boxes around pedestrians to calculate "Risk Factor."

Detect risk figures and transmit the information to the backend in real time with low latency.