{"id":2045,"date":"2020-05-28T04:31:11","date_gmt":"2020-05-27T18:31:11","guid":{"rendered":"https:\/\/wordpress.temp.irap-dev.org\/irap-star-rating-model-features-in-new-austroads-guides-to-help-develop-sustainable-network-safety-plans\/"},"modified":"2026-04-30T12:37:52","modified_gmt":"2026-04-30T02:37:52","slug":"irap-star-rating-model-features-in-new-austroads-guides-to-help-develop-sustainable-network-safety-plans","status":"publish","type":"post","link":"https:\/\/irap.org\/pt\/irap-star-rating-model-features-in-new-austroads-guides-to-help-develop-sustainable-network-safety-plans\/","title":{"rendered":"iRAP Star Rating model features in new Austroads guides to help develop sustainable network safety plans"},"content":{"rendered":"

The two-part guide aims to help road managers, planners and designers create plans that reduce serious and fatal crashes, deliver self-explaining roads and facilitate decisions resulting in the safest network. The guides are entitled “Road Cross-section Design for Road Stereotypes (including Network Safety Plans) and a Safe System<\/a>” and Network Design for Road Safety (Stereotypes for Cross-sections and Intersections): User Guide<\/a><\/p>\n

David Bobbermen, Austroads<\/a> Road Safety and Design Program Manager said road safety treatments are predominantly considered on a project by project basis which may not result in the safest network with consistent corridor outcomes.<\/p>\n

A simple five-step process has been developed, which applies to all roads across a network, includes contemporary safety treatments and can be matched to available and aspirational levels of funding. This process will support road authority officers who are relatively time-poor.<\/p>\n

Each option features the reduction in crash risk which is calculated using the Australian National Risk Assessment Model (ANRAM)<\/a> and improvements in star rating as set globally via the International Road Assessment Program (iRAP).<\/p>\n

The types of road on a network are divided into 13 road stereotypes, ranging from motorways to local access roads. For each road stereotype, the project working group developed options by combining cross-sections and safety treatments for varying speed limits to show opportunities to improve road safety.<\/p>\n

The five-step process, supported by the information in the reports, is:<\/p>\n

    \n
  1. Find the appropriate road stereotype based on the road function, geometric characteristics and traffic volume. Identify the existing cross-section for the asset from the relevant cross-section table and establish the fatal and serious injury (FSI) crash risk and iRAP star rating<\/a>.<\/li>\n
  2. Select suitable road cross-section treatments and standards that can be applied.<\/li>\n
  3. Using the cross-section tables, find the FSI crash risk for the proposed treatment and compare predicted outcomes for the existing asset and the treatment.<\/li>\n
  4. Find and compare the corresponding iRAP star ratings<\/a> for the proposed treatment and the existing asset.<\/li>\n
  5. Calculate the crash risk benefit (reduction in fatalities and serious injuries) and the cost of the corridor treatment and match these to the available funding, considering the total network.<\/li>\n<\/ol>\n

    \u00a0\u201cOur guidance provides a simple process to support all local government agencies, and will help road authorities to meet commitments made under the Australian National Road Safety Action Plan 2018\u20132020<\/a> to assess road safety treatments across their networks and apply Safe System approaches to all programs,\u201d Mr. Bobberman said.<\/p>\n

    Read full article aqui <\/a>
    Access Austroads Guides     aqui<\/a>
    Read more about the Australian National Road Safety Action Plan 2018 -2020     aqui<\/a>
    Read more about iRAP\u2019s Star Rating Model     aqui<\/a><\/p>","protected":false},"excerpt":{"rendered":"

    The two-part guide aims to help road managers, planners and designers create plans that reduce serious and fatal crashes, deliver self-explaining roads and facilitate decisions resulting in the safest network. 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