Abstract: This paper provides a smart generating route program utilizing the intellect of knowledgeable motorists. In this technique, GPS-equipped cabs are employed as mobile receptors searching the visitor’s beat of a city and cab drivers’ intellect in choosing generating guidelines in the physical globe. We recommend a time-dependent milestone chart to design the powerful visitors design as well as the intelligence of knowledgeable motorists so as to provide a user with the essentially quickest strategy to a given location at a given leaving time. Then, a Variance-Entropy-Based Clustering strategy is developed to calculate the submission of travel time between two landmarks in different time spots. Depending on this chart, we design a two-stage redirecting criteria to calculate the essentially quickest and personalized path for customers. We build the body with different real-world velocity data set produced by over 33,000 cabs in a period of three months, and look at the program by performing both artificial tests and in-the-field assessments. As a result, 60-70 % of the tracks recommended by our method are quicker than the competitive methods, and 20 % of the tracks share the same results. On average, 50 % of our tracks are at least 20 % quicker than the competitive techniques.
Keywords: Spatial databases and GIS, data mining, GPS trajectory, driving directions, driving behavior.
Title: Intelligent Drive Using Driver’s Intellegence
Author: Ajmal CS, Adarsh Kurian, Deepa Merin Jose
International Journal of Computer Science and Information Technology Research
ISSN 2348-1196 (print), ISSN 2348-120X (online)
Research Publish Journals
