A NEW MODEL OF COMPARATIVE DIRECTIONS AND PROFILE MATCHING IN THE CARPOOLING COMPUTATIONAL SYSTEMS

Carpooling is a system in which the passenger can share the vehicles and by this means the traffic also reduces due to reducing the no. of vehicle on the road. Most of the government and non-government organization has started the implementation of carpooling system. To implement this system various approaches has been developed but it becomes essentials that the selection of optimal distance for picking the passenger for improving the recital of the system. So in this research work, we use graph traversal technique to find the effective path and it is tested to find the optimal solution. The experimental results of the proposed methodology show that our approach is more efficient than the existing approach.