Space Time Lab News Publication
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- SpaceTimeLab at Geocomputation 2013
- Congratulations to Berk Anbaroglu and Ed Manley
- SpaceTimeLab welcomes new members
- Job Opportunity at SpaceTimeLab
- Congratulations to James Haworth
- Geospatial Seminar Series - Monsuru Adepeju
- Geospatial Seminar Series - Visualisation of traffic in space-time
- SpaceTimeLab Director Prof. Tao Cheng talks at ASU
- GIS Ostrava 2014
- Geospatial Seminar Series - Prof. Bin Jiang to talk at SpaceTimeLab
- Congratulations to Adel Bolbol
- SpaceTimeLab travels to AAG
- SpaceTimeLab researcher Sarah Wise beats competition to win best paper award at GISRUK 2014
- PhD Studenship Vacancy in Orbital Debris Modelling
- SpaceTimeLab for Big Data Analytics Newsletter 2014
- SpaceTimeLab research top of the pops!
- Juntao Lai wins best paper by a young researcher at GISRUK 2015
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Geospatial Seminar Series - Visualisation of traffic in space-time
2 December 2013
4:30pm, Tuesday 3rd December, G07, Pearson Building, UCL
This Tuesday, Garavig Tanaksaranond of SpaceTimeLab will be presenting her work on space-time visualisation of traffic data that she has carried out as part of her PhD studies. All welcome.
Visualisation of traffic in space-time.
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 thesis proposes various visualisation techniques: the wall map, the isosurface, and the network constrained isosurface.
This presentation will explain how the visualisation techniques were developed and how the massive amounts of traffic data were organised to improve multidimensional query response time. The development of Graphic User Interface (GUI), which allows users to interact with the traffic data and also to manipulate the visualisation, will be also explained.
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