Researchers are exploring the Hamilton circuit algorithm to find the most efficient route for public transportation buses for congestion-free travel.

Most studies on air pollution focus on intra-city roads. In India, highways constitute 40% of the traffic, making it important to effects of air pollution on and near highways. Scientists from IIT, Kharagpur explore this understudied phenomenon.

Getting stuck in a huge traffic jam is a tragedy, especially if you live in cities like Bengaluru, Mumbai or Delhi. The rising number of vehicles are increasingly adding to this problem, depriving us of our time, money and health. A new research now attempts to reduce traffic pileups in cities by using videos of surveillance cameras. Using Artificial Intelligence and Convolutional Neural Networks, the researcher have built TraCount, a system that can count the number of vehicles in a traffic jam and help authorities manage the congestion in a smart and informed way.

Public transport in large Indian cities are often plagued with unforeseen delays, thanks to the traffic and inefficiency of the public transport system. Now, researchers have used the power of technology to make this a thing of past. Using concepts from data science, researchers have developed a simple web-based application that can accurately predict the arrival and travel times of the Metropolitan Transport Corporation buses in Chennai, based on historical data collected over a period of time. With such technologies, researchers say, the wait for a bus might soon be over for ever!