RoadEye: A System for Personalized Retrieval of Dynamic Road Conditions
Anirban Mondal, Avinash Kumar Sharma, Kuldeep Singh Yadav, Abhishek Kumar Tripathi, Atul Kumar Singh, Nischal M. Piratla · 2014
Awareness of dynamically changing road conditions is crucial for a safe and quality driving experience, as well as, in augmenting trip planning. This work addresses the problem of keeping users informed in a timely and personalized manner about road conditions arising from both scheduled and ad hoc events. We propose Road Eye, a system for personalized retrieval of dynamic road conditions. The key contribution of Road Eye is the psi R-tree, which is a novel R-tree-based index augmented with linked lists for facilitating quick and personalized retrieval of user-queried road conditions. Our performance study indicates that the psi R-tree is indeed effective in retrieving dynamic road conditions with reduced query response times and disk I/Os.