Smart city: An intelligent automated mode of transport using shortest time of travel using big data

Mashrin Srivastava, Saumya Suvarna, Maheswari Raja, Mohana Natarajan

Abstract: The twenty-first century ushered with it the age of smart and predictive technology with the optimum use of resources to make life easier and take preventive measures against predicted mishaps. In accordance to this trend, the proposal is an automated (Society of Automotive Engineers level 5) mode of transport using a modified Dijkstra’s algorithm with concepts of Ant Colony Optimization, big data analytics and cloud computing for number crunching to arrive at the destination based on the traffic and the number of drivers on the road, in the shortest time possible instead of the usual shortest distance algorithms. The analysis of the time saved by the drivers for different map types is recorded and compared, and the results are found to be more efficient with respect to time as compared to the time taken by the original Dijkstra’s algorithm.