Using risk analysis to prioritise intelligent transport systems: a variable message sign case study on the Gold Coast

A risk management approach which focuses on minimising the impacts on, and costs to, the community, was taken to prioritise , variable message signs (VMS) infrastructure deployment. In the framework and case study presented in this paper, safety, efficiency, reliability and environmental impacts are quantified using an economic risk management approach to determine an overall risk score. This score can be used to rank road sections within the network, indicating the road sections with the highest risk of incident network impacts and therefore the road sections with the highest need for intervention. A cost-effectiveness based risk-reduction ranking can then be determined for VMS, comparing the net risk with treatment to that without treatment, and dividing by the net present value of deployment. The two types of ranking, pure risk and cost-effectiveness based risk reduction, will help to minimise the network impacts on the community and optimise resources allocation.

• Corporate Authors:

  Transportation Research Board

  500 Fifth Street, NW
  Washington, DC  United States  20001
• Authors:
  • Marschke, K
  • Ferreira, L
  • Bunker, J
• Conference:
  • Transportation Research Board 85th Annual Meeting
  • Location: Washington DC, United States
  • Date: 2006-1-22 to 2006-1-26
• Date: 2006

Language

• English

Media Info

• Pagination: 15p
• Monograph Title: Transportation Research Board 85th Annual Meeting compendium of papers CD-ROM, January 22-26, 2006, Washington, DC

Subject/Index Terms

• TRT Terms: Case studies; Cost effectiveness; Intelligent transportation systems; Risk assessment; Variable message signs
• Geographic Terms: Gold Coast, Queensland
• ATRI Terms: Case study; Cost effectiveness; Intelligent transport systems (ITS); Risk assessment; Variable message sign
• ITRD Terms: 8735: Intelligent transport system
• Subject Areas: Operations and Traffic Management;

Filing Info

• Accession Number: 01388181
• Record Type: Publication
• Source Agency: ARRB
• Files: TRIS, TRB, ATRI
• Created Date: Aug 23 2012 12:40AM