Optimal Maps

Abstract

Speed and safety have become complementary terms now. Everywhere people are rushing to get the things done meeting the deadlines. Shortest routes always become a prime priority to reach destination. But can taking shortest routes on road transport be considered as good? In this paper, we talk about the psychology of a driver mapping to the facts like accident prone areas, traffic and many more. We will suggest optimal routes to the user in Google Maps integrating it to other factors like climatic conditions, human behavior, accident prone areas and many more. Our system will integrate many inputs from various systems, real time and using the big data analytics we will predict the best possible route for the user in safe and speedy way. The cognitive process involved will update our predicate logic in knowledge database to store the best possible way to predict the driver’s behavior next time and suggest the best possibility for driving in a more convenient and user friendly manner.