Geospatial Analysis and Modeling

Geospatial Analysis for Transportation Research

4106.1 - Towards Traffic Bottleneck Visualization - Combining Traffic Congestion and Complicated Crossings

Tuesday, July 4
8:30 AM - 8:50 AM
Location: Maryland A

Daily mobility patterns in highly populated urban environments rely on a well-functioning effective road network. Nevertheless, traffic bottlenecks are typical for urban environments with periodical traffic congestion events. In this paper, we focus on the investigation of how traffic congestion is related with complicated crossings. Firstly, we select an approach for the classification of the complexity of road partitions and the derivation of complicated crossings based on geodata from the OpenStreetMap (OSM) project. Secondly, we calculate traffic congestions using Floating Taxi Data (FTD) from Shanghai in 2007. Then, we develop a matching technique to link the congestion and complicated crossings, and subsequently define the concept of traffic bottlenecks represented by polygons. The bottlenecks indicate locations, where the transportation infrastructure is com-plex and traffic congestion appears periodically. Finally, we select suitable cartographic representations of traffic bottlenecks in potential thematic vehicle traffic maps.

Andreas Keler

Research and Teaching Assistant
Applied Geoinformatics, Institute of Geography, University of Augsburg

Dipl.-Ing. (TUM) Andreas Keler is a scientific staff member, Applied Geoinformatics (Institute of Geography) at the University of Augsburg. He studied Geodesy and Geoinformation at the Technical University of Munich. His research interests include the analysis and visualization of traffic congestion, air quality and massive movement data, routing applications for vehicle drivers and Location Based Services (LBSs).

Presentation(s):

Send Email for Andreas Keler

Jukka M. Krisp

Prof.
Applied Geoinformatics, Institute of Geography, University of Augsburg

Prof. Dr. Jukka M. Krisp, Professor of Applied Geoinformatics at the University of Augsburg. His research interests include Geovisualization and Location Based Services (LBSs).

Presentation(s):

Send Email for Jukka Krisp

Linfang Ding

Posdoc researcher
Applied Geoinformatics at University of Augsburg & Chair of Cartography, TU Munich

Dr.-ing Linfang Ding is a postdoc researcher working in the Applied Geoinformatics at University of Augsburg and Chair of Cartography at Technical University of Munich. She received her Dr.-Ing degree at Technical University of Munich in 2016 supervised by Prof. Liqiu Meng. Her current research interests include Geovisualization, Movement data analysis, Cartography, and Location-based services.

Presentation(s):

Send Email for Linfang Ding

Bin Jiang

Professor
University of Gavle

Dr. Bin Jiang is Professor at Faculty of Engineering and Sustainable Development of the University of Gävle, Sweden. His research interests center on geospatial analysis of urban structure and dynamics, e.g., topological analysis, scaling hierarchy, and agent-based modeling applied to buildings, streets, and cities, or geospatial big data in general. He developed Axwoman for topological analysis (http://fromto.hig.se/~bjg/axwoman/), and head/tail breaks for scaling analysis (https://en.wikipedia.org/wiki/Head/tail_Breaks). Inspired by Christopher Alexander’s work, he developed a mathematical model of beauty – beautimeter, which helps address not only why a design is beautiful, but also how much beauty the design has.

Presentation(s):

Send Email for Bin Jiang


Assets

4106.1 - Towards Traffic Bottleneck Visualization - Combining Traffic Congestion and Complicated Crossings



Attendees who have favorited this

Please enter your access key

The asset you are trying to access is locked. Please enter your access key to unlock.

Send Email for Towards Traffic Bottleneck Visualization - Combining Traffic Congestion and Complicated Crossings