Reverse Nearest Neighbors Query for Moving Objects in Road Network

With the increasing popularity of all kinds of applications which depends on continuously changing positions of moving objects such as location-based services (LBS) and intelligent transportation system (ITS), reverse nearest neighbors search/query (RNN) for moving objects in road network has began to receive wide attentions in recent years. Though such queries have been studied quite extensively in Euclidean spaces, there are few works for objects moving on the road network. In this paper, we first propose an update-efficient data structure to index current positions of moving object in road networks. Then, based on the proposed index structure, we design a new RNN query algorithm, namely the RNN_Turn_MO. In contrast to existing methods, turn restriction of road network are taken into more consideration so that the query result can better meet the need of our real lives. The experimental studies show our methods can support RNN query considering turn prohibition efficiently.