Title :
RoadEye: A System for Personalized Retrieval of Dynamic Road Conditions
Author :
Mondal, Aniruddha ; Sharma, Ashok ; Yadav, Kuldeep ; Tripathi, Anand ; Singh, Ashutosh ; Piratla, Nischal
Author_Institution :
Xerox Res. Centre India, Bangalore, India
Abstract :
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.
Keywords :
input-output programs; query processing; traffic information systems; ψR-tree; R-tree-based index; RoadEye; disk IO; dynamically changing road conditions; linked lists; personalized dynamic road conditions retrieval; quality driving experience; query response times; safe driving experience; trip planning augmentation; user-queried road conditions; Indexing; Mobile communication; Roads; Sensors; Spatial databases; Visualization; R-tree; indexing; personalized; road conditions; trip planning;
Conference_Titel :
Mobile Data Management (MDM), 2014 IEEE 15th International Conference on
Conference_Location :
Brisbane, QLD
DOI :
10.1109/MDM.2014.42