Optimal vehicular routing and driving directions with human intelligence

Abstract

The vehicular routing is a smart driving direction service based on GPS traces using crowd sourcing g of Taxi drivers. An online social service based system primarily on the service employs crowd sourcing to provide real-time traffic updates. It finds out the practically fastest driving directions with less online computation. It propose a time-dependent landmark graph is used to provide the practically fastest route to a given destination at a given departure time. This graph is used to model the data collection by dynamic traffic pattern as well as the intelligence of experienced drivers. In this system, it collects various types of information like location, time slot and landmark. It can also find the location different types of whether condition. This project mainly focuses to identify the shortest optimal path from location data collected from large number of users by using two-stage routing algorithms to compute the practically fastest and customized route for end users.