Towards lane-level traffic monitoring in urban environment using precise probe vehicle data derived from three-dimensional map aided differential GNSS
Today's urban road transport systems experience increasing congestion that threatens the environment and transport efficiency. Global Navigation Satellite System (GNSS)-based vehicle probe technology has been proposed as an effective means for monitoring the traffic situation and can be used for future city development. More specifically, lane-level traffic analysis is expected to provide an effective solution for traffic control. However, GNSS positioning technologies suffer from multipath and Non-Line-Of-Sight (NLOS) propagations in urban environments. The multipath and NLOS propagations severely degrade the accuracy of probe vehicle data. Recently, a three-dimensional (3D) city map became available on the market. The authors propose to use the 3D building map and differential correction information to simulate the reflecting path of satellite signal transmission and improve the results of the commercial GNSS single-frequency receiver, technically named 3D map-aided Differential GNSS (3D-DGNSS). In this paper, the innovative 3D-DGNSS is employed for the acquisition of precise probe vehicle data. In addition, this paper also utilizes accelerometer-based lane change detection to improve the positioning accuracy of probe vehicle data. By benefitting from the proposed method, the lane-level position, vehicle speed, and stop state of vehicles were estimated. Finally, a series of experiments and evaluations were conducted on probe data collected in one of the most challenging urban cities, Tokyo. The experimental results show that the proposed method has a correct lane localization rate of 87% and achieves sub-meter accuracy with respect to the position and speed error means. The accurate positioning data provided by the 3D-DGNSS result in a correct detection rate of the stop state of vehicles of 92%.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/03861112
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Supplemental Notes:
- © 2018 International Association of Traffic and Safety Sciences. Production and hosting by Elsevier Ltd. Abstract reprinted with permission of Elsevier.
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Authors:
- Gu, Yanlei
- Hsu, Li-Ta
- Kamijo, Shunsuke
- Publication Date: 2018-12
Language
- English
Media Info
- Media Type: Digital/other
- Features: Figures; Photos; References; Tables;
- Pagination: pp 248-258
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Serial:
- IATSS Research
- Volume: 42
- Issue Number: 4
- Publisher: Elsevier
- ISSN: 0386-1112
- Serial URL: http://www.sciencedirect.com/science/journal/03861112
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Publication flags:
Open Access (libre)
Subject/Index Terms
- TRT Terms: Data quality; Detection and identification technologies; Lane changing; Probe vehicles; Stopping; Traffic data; Traffic surveillance; Urban areas
- Identifier Terms: Global Navigation Satellite System
- Geographic Terms: Tokyo (Japan)
- Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management; Vehicles and Equipment;
Filing Info
- Accession Number: 01695800
- Record Type: Publication
- Files: TRIS
- Created Date: Feb 21 2019 9:56AM