Towards K-Nearest Neighbor Search in Time-Dependent Spatial Network Databases [chapter]

Ugur Demiryurek, Farnoush Banaei-Kashani, Cyrus Shahabi
2010 Lecture Notes in Computer Science  
The class of k Nearest Neighbor (kNN) queries in spatial networks is extensively studied in the context of numerous applications. In this paper, for the first time we study a generalized form of this problem, called the Time-Dependent k Nearest Neighbor problem (TD-kNN) with which edge-weights are time variable. All existing approaches for kNN search assume that the weight (e.g., travel-time) of each edge of the spatial network is constant. However, in real-world edge-weights are time-dependent
more » ... (i.e., the arrival-time to an edge determines the actual travel-time on that edge) and vary significantly in short durations. We study the applicability of two baseline solutions for TD-kNN and compare their efficiency via extensive experimental evaluations with real-world data-sets, including a variety of large spatial networks with real traffic-data recordings.
doi:10.1007/978-3-642-12038-1_20 fatcat:mwbyljkj75fxflcqjfrkfkt44i