Evaluation of Parking Capacities for Heavy Vehicles on Highways
The efficient allocation of parking areas for heavy vehicles on major international road transport corridors is an essential matter of interest for road infrastructure operators. Heavy vehicle drivers have to comply with regulations regarding driving times and resting periods. They choose preferred parking areas based on maximum driving times, additional regulations and to a certain extent also on individual requirements. Consequently it is not efficient enough to only allocate additional parking areas based on traffic volumes. This paper presents a traffic model that estimates the utilization of heavy vehicle parking areas along pre-defined routes along the Austrian motorway network. The calculation of the capacity utilization is based on current driving time limitations, application of benefits for certain parking areas due to attractiveness for heavy vehicle drivers as well as existing capacity constraints. Parking decisions are calculated for individual trips along defined origin destination relations.
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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:
- Elias, Daniel
- Nadler, Friedrich
- Hauger, Georg
- Wanjek, Monika
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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: 5p
- Monograph Title: 19th ITS World Congress, Vienna, Austria, 22 to 26 October 2012
Subject/Index Terms
- TRT Terms: Heavy vehicles; Parking; Regulations; Rest periods; Traffic volume; Truck drivers
- Geographic Terms: Austria
- Subject Areas: Highways; Operations and Traffic Management; I72: Traffic and Transport Planning;
Filing Info
- Accession Number: 01493985
- Record Type: Publication
- Files: TRIS
- Created Date: Sep 4 2013 11:22AM