Booster Ride Sharing with Neighbours

Car sharing is expected to significantly help in reducing traffic and pollution in cities by enabling drivers to share their cars with users with similar itineraries and time schedules. A number of car sharing matching services have been designed in order to efficiently find successful ride matches in a given pool of drivers and passengers. Car sharing is a collective transportation model based on shared use of private cars. The objective of car sharing is to reduce the number of cars in use by grouping people. By exploiting car sharing model, it can significantly reduce congestion, fuel consumption, air pollution, parking demands and commuting costs. In system if driver accept that ride and next nearest passenger request for ride but his route is different than current route then that ride also suggest to driver to boost the income. System can reduce the time to find clients and allow an automated way to pay taxi costs. We, thus propose Haversine and C4.5 algorithm to search nearest neighbors and search alternative path by analyzing the mobility dataset of the passengers. Propose system is not only beneficial to individual participants but also has significant social benefits. By sharing vehicles, we could reduce congestion, fuel consumption, Pollution, save parking space and also save money.