DocumentCode :
1625185
Title :
Finding Fastest Paths on A Road Network with Speed Patterns
Author :
Kanoulas, Evangelos ; Du, Yang ; Xia, Tian ; Zhang, Donghui
Author_Institution :
Northeastern University
fYear :
2006
Firstpage :
10
Lastpage :
10
Abstract :
This paper proposes and solves the Time-Interval All Fastest Path (allFP) query. Given a user-defined leaving or arrival time interval I, a source node s and an end node e, allFP asks for a set of all fastest paths from s to e, one for each sub-interval of I. Note that the query algorithm should find a partitioning of I into sub-intervals. Existing methods can only be used to solve a very special case of the problem, when the leaving time is a single time instant. A straightforward solution to the allFP query is to run existing methods many times, once for every time instant in I. This paper proposes a solution based on novel extensions to the A* algorithm. Instead of expanding the network many times, we expand once. The travel time on a path is kept as a function of leaving time. Methods to combine travel-time functions are provided to expand a path. A novel lower-bound estimator for travel time is proposed. Performance results reveal that our method is more efficient and more accurate than the discrete-time approach.
Keywords :
Cities and towns; Degradation; Educational institutions; Engineering profession; Geographic Information Systems; Information science; Partitioning algorithms; Road transportation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Data Engineering, 2006. ICDE '06. Proceedings of the 22nd International Conference on
Print_ISBN :
0-7695-2570-9
Type :
conf
DOI :
10.1109/ICDE.2006.71
Filename :
1617378
Link To Document :
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