IBM's Groundbreaking Technology to Kill Traffic Jams


Bangalore: Traffic jams could be pain in neck of the commuter, eating up productive time and peace of mind. But this nightmare is about to see light, thanks to the groundbreaking technology by IBM, which was unveiled on Wednesday.  

The researchers at IBM teamed up with Lyon, France, to develop the technology that helps the traffic operators to reduce congestions on the road, and maintain an easy traffic flow.

The researchers said they process the real time traffic data, which helps in “predictive traffic management technology” to determine how to keep traffic flowing. It technology is called as “Decision Support System Optimizer” or DSSO, which can detect incidents, predict the impact of these incidents, predicts traffic and suggests the best course of action to solve a problem.

For example it helps the operators to adjust the traffic signals, so that other cars detour quickly when an ambulance is rushing fast on the particular road. “Piloting this analytics technology will help the city anticipate and avoid many traffic jams before they happen, and lessen their impact on citizens,” Gerard Collomb, Lyon’s mayor, said in a statement, reports Mashable. “Using the data that we are collecting to make more informed decisions will help us to promote about how to resolve unexpected traffic events, and optimize public transportation.”

The traffic operators presently use the predetermined response plans or make spontaneous decisions to tackle the bottlenecks, however they can’t factor in previous and future traffic patterns into their decisions, according to IBM.

 “Historical and real-time traffic data from the City of Lyon is combined with advanced analytics and algorithms to help model predicted conditions under both normal and incident conditions, and the resulting impact across the entire network of roads, buses and trams,” IBM said in a statement. “The system can estimate drive times and traffic patterns more accurately,” IBM added. Eventually, the algorithms will “learn” from successful plans, and apply that knowledge to its future recommendations.