Model for Reducing Traffic Volume: Case Study of Belgrade, Serbia

Daily congestion on transportation networks is the one of the biggest problems that city authorities face. Different strategies for transportation-demand management have been developed with the aim to decrease existing negative traffic impacts. Available strategies are based on the use of accessible transportation infrastructure and have their own characteristics. In accordance with these specific characteristics, each strategy is more or less suitable for a particular transportation network. In this paper, the writers develop a model for the best strategy selection from transportation and drivers’ point-of-view. The model is based on the analytical network process, i.e., on the combination with the benefits, opportunities, costs, and risks (BOCR) merit approach, with consideration of BOCR. The approach addresses problems regarding the network structure, whereby the various criteria are relevant for the considered problem. The proposed model is applied and tested on real data collected in Belgrade, Serbia.

• Record URL:
  • https://doi.org/10.1061/(ASCE)TE.1943-5436.0000639
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/oclc/8674831
• Supplemental Notes:
  • Copyright © 2013 American Society of Civil Engineers.
• Authors:
  • Selmic, Milica
  • Macura, Dragana
• Publication Date: 2014-2

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: 05013001
• Serial:
  • Journal of Transportation Engineering
  • Volume: 140
  • Issue Number: 2
  • Publisher: American Society of Civil Engineers
  • ISSN: 0733-947X
  • Serial URL: https://ascelibrary.org/journal/jtepbs

Subject/Index Terms

• TRT Terms: Benefit cost analysis; Case studies; Data collection; Impact studies; Traffic congestion; Traffic volume; Travel demand management
• Geographic Terms: Belgrade (Serbia)
• Subject Areas: Highways; Operations and Traffic Management; I73: Traffic Control;

Filing Info

• Accession Number: 01504506
• Record Type: Publication
• Files: TRIS, ASCE
• Created Date: Jan 24 2014 2:29PM