Path inference of low-frequency GPS probes for urban networks

The use of probe vehicles in traffic management is growing rapidly. The reason is that the required data collection infrastructure is increasingly in place in urban areas with significant number of mobile sensors moving around covering expansive areas of the road network. The data is usually sparse...

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Bibliographic Details
Published in2012 15th International IEEE Conference on Intelligent Transportation Systems pp. 1698 - 1701
Main Authors Rahmani, Mahmood, Koutsopoulos, Haris N.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.09.2012
SeriesIEEE International Conference on Intelligent Transportation Systems-ITSC
Subjects
Data collection
Geolocations
Global Positioning System
Inference methods
Map matching
Mobile sensors
Probe vehicles
Probes
Road network
Roads
Sensors
Time-stamp
Traffic management
Trajectory
Urban areas
Urban networks
Vehicles
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Summary:The use of probe vehicles in traffic management is growing rapidly. The reason is that the required data collection infrastructure is increasingly in place in urban areas with significant number of mobile sensors moving around covering expansive areas of the road network. The data is usually sparse in time and location. It usually includes only geo-location and timestamp. Extracting the paths taken by the vehicles is an important step in using this data. Such methods are referred to as map-matching or path inference. This paper introduces a path inference method for low-frequency probes and evaluates its accuracy in comparison to a recent method.
ISBN:9781467330640
1467330647
ISSN:2153-0009
2153-0017
DOI:10.1109/ITSC.2012.6338667