Current vehicle level safety metrics like Time to Collision (TTC) are very easy to explain but are focused on the likelihood of an accident between two specific vehicles whose trajectories are known. There are many such metrics already developed . However, there are not many metrics to quantify the likelihood of an accident in a road segment (or a network) with many vehicles given the traffic condition and other properties of the segment (or network). The current network level safety indicators mainly correlate indicators like speed, flow with number of accidents without taking into account individual behavior. This project will develop a new segment (or network level) safety metric which takes into account traffic condition and observed individual behavior. The proposed metric will be used to classify a given road segment or network into a safety level similar to the well-known International Road Safety Assessment Star Programme (IRAP) star rating.
Research objective
Perform a literature review on current segment and network level safety metrics. The focus will be on metrics which can be calculated in real-time ( nice to have but this is not a strong requirement) Develop a new network level safety metric which takes into account current traffic conditions and individual vehicle behavior. Test and validate the newly developed safety metric using simulated and/or real traffic data.
Supervision
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