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Spatio-Temporal Trajectory Similarity Learning in Road Networks
Knowledge Discovery and Data Mining, 2021Deep learning based trajectory similarity computation holds the potential for improved efficiency and adaptability over traditional similarity computation.
Ziquan Fang +5 more
semanticscholar +1 more source
IEEE transactions on intelligent transportation systems (Print), 2022
Road link speed is often employed as an essential measure of traffic state in the operation of an urban traffic network. Not only real-time traffic demand but also signal timings and other local planning factors are major influential factors.
Junchen Jin +7 more
semanticscholar +1 more source
Road link speed is often employed as an essential measure of traffic state in the operation of an urban traffic network. Not only real-time traffic demand but also signal timings and other local planning factors are major influential factors.
Junchen Jin +7 more
semanticscholar +1 more source
Detecting interchanges in road networks using a graph convolutional network approach
International Journal of Geographical Information Science, 2022Detecting interchanges in road networks benefit many applications, such as vehicle navigation and map generalization. Traditional approaches use manually defined rules based on geometric, topological, or both properties, and thus can present challenges ...
Min Yang +5 more
semanticscholar +1 more source
Dynamic Hub Labeling for Road Networks
IEEE International Conference on Data Engineering, 2021Shortest path finding is the building block of various applications in road networks and the index-based algorithms, especially hub labeling, can boost the query performance dramatically. However, the traffic condition keeps changing in real life, making
Mengxuan Zhang +5 more
semanticscholar +1 more source
P2H: Efficient Distance Querying on Road Networks by Projected Vertex Separators
SIGMOD Conference, 2021The most efficient known approach for shortest distance querying on road networks is via a tree decomposition based 2-hop labeling index. A major challenge here is how to reduce the query time by reducing the label size.
Zitong Chen +4 more
semanticscholar +1 more source
Online Route Planning over Time-Dependent Road Networks
IEEE International Conference on Data Engineering, 2021Route planning problem has been well studied in static road networks, since it has wide applications in transportation networks. However, recently there have been more actual requirements that current path planning algorithms cannot solve, such as food ...
Di Chen +4 more
semanticscholar +1 more source
ACM SIGSPATIAL International Workshop on Advances in Geographic Information Systems, 2017
B. Kamiński, P. Prałat, F. Théberge
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B. Kamiński, P. Prałat, F. Théberge
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Efficient shortest path index maintenance on dynamic road networks with theoretical guarantees
Proceedings of the VLDB Endowment, 2020Computing the shortest path between two vertices is a fundamental problem in road networks that is applied in a wide variety of applications. To support efficient shortest path query processing, a plethora of index-based methods have been proposed in the
Dian Ouyang +5 more
semanticscholar +1 more source
, 2020
Connected automated vehicles (CAVs) have been currently considered as promising solutions for realization of envisioned autonomous traffic management systems in the future. CAVs can achieve high desired traffic efficiency and provide safe, energy-saving,
Yunpeng Wang, Pinlong Cai, G. Lu
semanticscholar +1 more source
Connected automated vehicles (CAVs) have been currently considered as promising solutions for realization of envisioned autonomous traffic management systems in the future. CAVs can achieve high desired traffic efficiency and provide safe, energy-saving,
Yunpeng Wang, Pinlong Cai, G. Lu
semanticscholar +1 more source