Exploratory Visualisation of Congestion Evolution on Urban Transport Networks
Tao Cheng, professor, GeoInformatics, and director, SpaceTimeLab, University College London
Garavig Tanaksaranond, Ph.D. student, Geomatics Engineering, University College London
Friday, January 3, 2014
Brickyard (BYENG) 210 [map]
Visualisation is an effective tool for studying traffic congestion using massive traffic datasets collected from traffic sensors. Existing techniques can reveal where/when congested areas are formed, developed, and moved on one or several highway roads, but it is still challenging to visualise the evolution of traffic congestion on the whole road network, especially on dense urban networks. To address this challenge, three 3-D exploratory visualisation techniques are developed: the isosurface, the constrained isosurface, and the wall map. These three techniques have different advantages and should be combined to leverage their respective strong points. User-centred design approach has been employed to develop the Graphic User Interface (GUI) to interact with the traffic data and also to manipulate the visualisation to effectively support the identification of congested areas and relevant spatio-temporal information. The research findings provide new and supplementary visualisation techniques, which can help traffic manager uncover the solutions to traffic congestion. We present our visualisation techniques with the case of link travel time data from Automatic Number Plate Recognition (ANPR) in London.
Tao Cheng is a professor in GeoInformatics and director of SpaceTimeLab, at University College London. Her research interests span network complexity, integrated spatio-temporal analytics and big data mining (modellling, prediction, clustering, visualisation and simulation), geocomputation, and uncertainty and quality of geographic information, with applications in environmental monitoring, natural resource management, health, transport and crime studies. She has over 16 publications and is a past recipient of the U. V. Helava Award for the best paper in the ISPRS Journal of Photogrammetry and Remote Sensing. More details about her research and publication could be found at iris.ucl.ac.uk/iris/browse/profile?upi=TCHEN23.
Garavig Tanaksaranond is currently a Ph.D. student in Geomatics Engineering at University College London. She received a BEng in Survey Engineering and MSc in Statistical Information System from Chulalongkorn University in Thailand. Her research interests include geographical information science, visualisation and spatial databases.
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