This algorithm can analyze real-time traffic data to determine which routes offer the least risk of accidents and road hazards.
, avoid highways or tolls, and even determine the most eco-friendly paths. But the newest choice could provide commuters a completely different peace of mind: the safest drive possible., a team at the University of British Columbia has designed an algorithm capable of analyzing real-time traffic data to determine which routes offer the least risk of accidents and road hazards.
“This research is the first to use real-time crash risk data to provide navigation directions and give you the safest possible driving route through a city,” said Tarek Sayed, a civil engineering professor at UBC . “The algorithm is capable of adjusting directions in real-time, suggesting detours to avoid hazardous locations. This helps enhance road safety for all users. For instance, companies will be able to route their fleet efficiently, prioritizing safety and reducing crash risk.”Interestingly, the researchers also discovered that a map’s fastest routes frequently did not overlap with its safest directions.
“There was a clear trade-off between safety and mobility,” explained Tarek Ghoul, a PhD student involved in the study. According to Ghoul, their algorithm’s safest routes were on average 22 percent less hazardous than its fastest route alternative, “suggest[ing] that there are considerable gains in safety on the safest routes with just a small increase in travel time.
Such safety-focused algorithms aren’t only limited to vehicles, say Sayed and Ghoul. In the future, the same systems could also be applied for cyclists who often face
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