Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6937279 | Transportation Research Part C: Emerging Technologies | 2013 | 11 Pages |
Abstract
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, this paper proposes three 3D exploratory visualisation techniques: 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. We present our visualisation techniques with the case of link travel time data from Automatic Number Plate Recognition (ANPR) in London.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science Applications
Authors
Tao Cheng, Garavig Tanaksaranond, Chris Brunsdon, James Haworth,