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Mapping spatio-temporal patterns and detecting the factors of traffic congestion with multi-source data fusion and mining techniques
Jinchao Song
*
, Chunli Zhao, Shaopeng Zhong, Thomas Alexander Sick Nielsen,
Alexander V. Prishchepov
*
Corresponding author af dette arbejde
Institut for Geovidenskab og Naturforvaltning
LUKKET: Landskabsarkitektur og planlægning
LUKKET: Geografi
11
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Alfabetisk
Earth and Planetary Sciences
Multisensor Fusion
100%
Spatiotemporal Patterns
100%
Land Use Planning
66%
Real Time
66%
Green Space
33%
Road Network
33%
Spatiotemporal Distribution
33%
Land Use
33%
Public Service
33%
Keyphrases
Multi-source Data Mining
100%
Regional Road
100%
Multi-source Data
40%
Employment Areas
20%
High Density Area
20%
Congested Road
20%
Road Congestion
20%
Congestion Pattern
20%
Real-time Traffic Information
20%
Evening Peak
20%
Building Height
20%
Geodetector
20%
Social Sciences
Traffic Congestion
100%
Land Use Planning
66%
Residential Area
33%
Green Space
33%
Public Facility
33%
Bus
33%
Road Network
33%
Land Use
33%
Public Utilities
33%
Computer Science
Public Facility
100%
Time Traffic Data
100%
Engineering
Traffic Data
16%
Service Area
16%
Mean Clustering Algorithm
16%
Road Network
16%