Parckr - Estimating and Forecasting Parking Occupancy Based on Floating Vehicle Data
If truck-drivers know the occupancy of truck parking areas (TPAs) along their route, they can better plan when and where to park. This will lead to less TPA over-crowding and less off-site parking, and thus increase road safety, and in general enable more efficient use of existing TPA capacity. Existing parking occupancy systems are expensive as they rely on onsite detection systems. Floating vehicle data (FVD) are position measurements from a fleet of vehicles, equipped with e.g. fleet management systems, connected navigation devices and Global Navigation Satellite System (GNSS) enabled smart-phones. The commoditisation of these devices over the past years has led to a dramatic increase in the amount of available FVD. The Parckr project developed a computer model to predict TPA occupancy rates based on FVD. This paper presents the results of the data analysis and modelling phase of the project, providing insight into the accuracy and reliability of the predictions for TPA.
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Supplemental Notes:
- Abstract reprinted with permission from Intelligent Transportation Society of America.
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Corporate Authors:
1100 17th Street, NW, 12th Floor
Washington, DC United States 20036 -
Authors:
- van de Ven, Tom
- Bakker, Bram
- de Jong
- Koenders, Eric
- van Vugt, Gwen
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Conference:
- 19th ITS World Congress
- Location: Vienna , Austria
- Date: 2012-10-22 to 2012-10-26
- Publication Date: 2012
Language
- English
Media Info
- Media Type: Digital/other
- Features: CD-ROM; Figures; Photos; References;
- Pagination: 8p
- Monograph Title: 19th ITS World Congress, Vienna, Austria, 22 to 26 October 2012
Subject/Index Terms
- TRT Terms: Data collection; Fleet management; Forecasting; Highway safety; Parking; Probe vehicles; Trucks
- Identifier Terms: Global Navigation Satellite System
- Subject Areas: Data and Information Technology; Highways; Planning and Forecasting; Terminals and Facilities; I72: Traffic and Transport Planning;
Filing Info
- Accession Number: 01494181
- Record Type: Publication
- Files: TRIS
- Created Date: Sep 24 2013 9:15AM