Abstract
Visualization of complex spatio-temporal traffic movements on the road network is a challenging task since it requires simultaneous representation of vehicle measurement characteristics and traffic network regulation rules. Previously proposed visual representations addressed issues related to traffic congestion to explore movements along the road networks. However, those studies did not focus on the traffic safety aspects for the vulnerable road users in densely populated areas. This research deals with traffic safety issues for pedestrians on arterial roads located within the urban areas. Arterial roads are important for the mobility and connectivity of modern society, but they also have traffic regulations that are not always followed by the vulnerable road users. In order to understand complex movement behaviors between vehicle drivers and pedestrians on the arterial roads, a GeoVisual Analytics approach was developed in dialog with traffic experts. The exploratory interactive tools have assisted experts to extract unknown information about movement patterns from large traffic data at different levels of details. The results of the analysis revealed detailed patterns of speed variations and demonstrated the effectiveness of the proposed GeoVisual Analytics solutions.
Original language | English |
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Title of host publication | Publication of the Cartography and Geographic Information Society (CaGIS) and the University Consortium for Geographic Information Science : Frontiers of Geospatial Data Science |
Number of pages | 14 |
Publisher | Cartography and Geographic Information Society (CaGIS) |
Publication date | 2018 |
Pages | 76-89 |
Publication status | Published - 2018 |
Event | The 22nd International Research Symposium on Computer-based Cartography and GIScience - Madison, United States Duration: 22 May 2018 → 24 May 2018 Conference number: 22 |
Conference
Conference | The 22nd International Research Symposium on Computer-based Cartography and GIScience |
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Number | 22 |
Country/Territory | United States |
City | Madison |
Period | 22/05/2018 → 24/05/2018 |
Keywords
- GeoVisual analytics
- Traffic movements
- Arterial roads
- Visual exploration