DocumentCode
2716583
Title
Urban Traffic Condition Analysis Based on GPS Floating Car Data
Author
Liu Xingquan ; Liu Sixuan ; Chen Zhiqiang ; Tang Minwen
Author_Institution
Sch. of Geosci. & Inf.-Phys., Central South Univ., Changsha, China
fYear
2012
fDate
11-13 Aug. 2012
Firstpage
463
Lastpage
466
Abstract
Floating cars equipped with GPS terminal distribute in road network as mobile detectors that can be used as an effective means of detecting the traffic conditions of road network, and taxi shall be an excellent detector for road network condition for its wide traffic coverage and broad time coverage. This paper carries on a quantitative analysis and evaluation on the condition of road network in the main urban area of Changsha city from three layers of "point-line-area", that is based on the data of urban geographical information of Changsha and the GPS data from about 6000 taxies in urban as the source of data, and taking SQL Server 2005 as the data management platform, and using Trans CAD for the secondary development. This research result shows that it can provide a quantitative reference for making traffic management plan and the evaluation of performance on the traffic control facility from intuitive and quick judgment on the urban traffic condition by floating car GPS data.
Keywords
CAD; Global Positioning System; SQL; geographic information systems; road traffic control; road vehicles; Changsha city; GPS floating car data; GPS terminal; SQL Server 2005; Trans CAD; broad time coverage; data management platform; mobile detectors; point-line-area; road network; secondary development; taxi; traffic condition detection; traffic control facility; traffic management plan; urban geographical information; urban traffic condition analysis; wide traffic coverage; Cities and towns; Global Positioning System; Indexes; Roads; Urban areas; Vehicles;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science & Service System (CSSS), 2012 International Conference on
Conference_Location
Nanjing
Print_ISBN
978-1-4673-0721-5
Type
conf
DOI
10.1109/CSSS.2012.122
Filename
6394360
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