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http://hdl.handle.net/1942/34719
Title: | Citywide Traffic Analysis Based on the Combination of Visual and Analytic Approaches | Authors: | LIU, Feng Andrienko, Gennady Andrienko, Natalia JANSSENS, Davy WETS, Geert Theodoridis, Yannis Chen, Siming |
Issue Date: | 2020 | Publisher: | SPRINGERNATURE | Source: | JOURNAL OF GEOVISUALIZATION AND SPATIAL ANALYSIS, 4 (2) (Art N° 15) | Abstract: | A method for citywide traffic analysis is introduced based on the combination of visual and analytical approaches. Large volumes of GPS data collected from urban vehicles are utilized. In the method, a traffic condition map is constructed, composed of five different layers featuring traffic conditions, road linkage, travel patterns, congestion zones, and traffic flows, respectively. Based on the map, specific transport situations surrounding the congested areas are examined and ways of reducing congestion are suggested. The method is evaluated in the aggregated metropolitan area of Athens and Piraeus in Greece, and the potential and the effectiveness of this technique in analysing traffic are demonstrated. With more and more urban vehicles being equipped with GPS devices, the method can be easily transferable to other regions, paving the way for the adoption of the approach for an up-to-date, spatial-temporal sensitive, visual and analytic method for traffic monitoring that supports the establishment of a more sustainable urban transportation system. | Notes: | Liu, F (corresponding author), Hasselt Univ, Transportat Res Inst IMOB, Wetenschapspk 5,Bus 6, B-3590 Diepenbeek, Belgium. Feng.liu@uhasselt.be; gennady.andrienko@iais.fraunhofer.de; Natalia.andrienko@iais.fraunhofer.de; Siming.Chen@iais.fraunhofer.de; davy.janssens@uhasselt.be; geert.wets@uhasselt.be; ytheodoridis@gmail.com |
Keywords: | Visual analytical approaches; Traffic conditions; Travel patterns;;Congestion; GPS data | Document URI: | http://hdl.handle.net/1942/34719 | ISSN: | 2509-8810 | e-ISSN: | 2509-8829 | DOI: | 10.1007/s41651-020-00057-4 | ISI #: | WOS:000670273100001 | Category: | A1 | Type: | Journal Contribution | Validations: | vabb 2023 |
Appears in Collections: | Research publications |
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File | Description | Size | Format | |
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Citywide traffic analysis based on the combination of visual and analytic approaches _final published version.pdf | Peer-reviewed author version | 1.83 MB | Adobe PDF | View/Open |
Liu2020_Article_CitywideTrafficAnalysisBasedOn.pdf Restricted Access | Published version | 2.73 MB | Adobe PDF | View/Open Request a copy |
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