Present and future methodology for the implementation of decision support systems for traffic management

Real-time predictions are an indispensable requirement for traffic management in order to be able to evaluate the effects of different available strategies or policies. The combination of predicting the state of the network and the evaluation of different traffic management strategies in the short term future allows system managers to anticipate the effects of traffic control strategies ahead of time in order to mitigate the effect of congestion. This paper presents the current framework of decision support systems for traffic management based on short and medium-term predictions and includes some reflections on their likely evolution, based on current scientific research and the evolution of the availability of new types of data and their associated methodologies.

• Record URL:
  http://www.atrf.info/papers/2013/index.aspx
• Authors:
  • Casas, J
  • Torday, A
  • Perarnau, J
  • Breen, M
  • Ruiz de Villa, A
• Conference:
  • Australasian Transport Research Forum (ATRF), 36th, 2013, Brisbane, Queensland, Australia
• Publication Date: 2013-10

Language

• English

Media Info

• Pagination: 19p
• Monograph Title: Transport and the new world city: 36th Australasian Transport Research Forum (ATRF), October 2nd-4th 2013, Brisbane

Subject/Index Terms

• TRT Terms: Administration; Decision support systems; Forecasting; Highway traffic control; Research; Traffic; Traffic congestion
• ATRI Terms: Decision support; Forecast; Research and development; Traffic congestion; Traffic management
• ITRD Terms: 632: Congestion (traffic); 2248: Decision process; 132: Forecast
• Subject Areas: Operations and Traffic Management; Research; I73: Traffic Control;

Filing Info

• Accession Number: 01503314
• Record Type: Publication
• Source Agency: ARRB
• Files: ITRD, ATRI
• Created Date: Jan 6 2014 10:58AM