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Smart traffic signals can cut greenhouse gas emissions
Smarter programming of stoplights could improve efficiency of urban traffic, reduce travel time and significantly cut unnecessary greenhouse gas emissions to the atmosphere, say Massachusetts Institute of Technology (MIT) researchers, among them one of Indian-origin.
New York: Smarter programming of stoplights could improve efficiency of urban traffic, reduce travel time and significantly cut unnecessary greenhouse gas emissions to the atmosphere, say Massachusetts Institute of Technology (MIT) researchers, among them one of Indian-origin.
MIT and Indian Institute of Technology - Bombay (IIT-Bombay) alumna Kanchana Nanduri and MIT assistant professor Carolina Osorio described a method of combining vehicle-level data with less precise -- but more comprehensive -- city-level data on traffic patterns to produce better information than current systems provide.
For their test case, Osorio and Nanduri used simulations of traffic in the Swiss city of Lausanne, simulating the behaviour of thousands of vehicles per day, each with specific characteristics and activities. They came up with a solution that would lead to improved travel times across the city.
