A New “Intelligent Routing” Algorithm for Cars Could Dramatically Improve Traffic Flow

It’s like Waze on steroids.

3. 29. 17 by Abby Norman
Image by pexels

Traffic Troubles

Despite differences in individual politics and any number of other preferences, one thing many people agree on is how much they loathe getting stuck in traffic. Those that do share the sentiment with Elon Musk, whose desire to find a better mode of public transport lead to the birth of Hyperloop. Although, another solution may just be to wait thirty years for autonomous vehicles to take the main stage.

Estimates say Americans spent a collective 6.9 billion hours stuck in traffic in 2014. Which rounds to 42 hours per average citizen, per year, spent in traffic — that’s almost two days of sitting in your vehicle. Moreover, the National Highway Traffic Safety Administration (NHTSA) reports that there were over 6 million traffic accidents in 2015. To make matters worse, the number of accidents per year has only been going up, with a 5% increase since 2006. The cost for traffic-related incidents runs up to $2200 billion per year in developed countries worldwide. Although there is promise in new AI research that might just make traffic problems a thing of the past.

Automated Steering Symphony

Computer scientists at Nanyang Technological University in Singapore are working on an algorithm that can reduce traffic jams through intelligent routing. The program runs with the breakdown assumption, which is idea that at some point within a large traffic density, something (such as an accident) will probably happen. The program’s task is to minimize the probability of such a traffic breakdown.

After working their algorithm in simulations, and further analysis with BMW, the team is confident that their algorithm can positively improve traffic — even if just 10percent of the cars in a network are driving according to their optimizations.


With similar algorithms improving in the years to come, we may live to see a day when traffic accidents are a thing of the past. Our predecessors may one day look at how we drive, and at car safety, the way we gawk in horror at how things were almost a century ago.

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