Advancing the science of road safety management through innovation in crash and non-crash based analysis

通过基于碰撞和非碰撞的分析创新，推进道路安全管理科学

• 批准号: RGPIN-2017-04457
• 负责人: Persaud, Bhagwant
• 金额: $ 2.99万
• 依托单位: Ryerson University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2020
• 资助国家: 加拿大
• 起止时间: 2020-01-01 至 2021-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=711056
• 关键词: Advancing; science; road; safety; management

According to the Canadian Council of Motor Transportation Administrators (CCMTA), each year in Canada, almost 2,000 people are killed and 165,000 are injured (10,000 seriously) while using Canada's roads, costing society $37 billion. The CCMTA website maintains a user searchable inventory of road safety initiatives which road safety stakeholders can adopt or adapt to address their specific road safety challenges. Although some of these have been “proven” effective, it is noted that for others, measured effectiveness is not yet available, and these are thus considered only as “promising”. There is a need for knowledge on measured safety effectiveness in order to reclassify those promising measures, particularly infrastructure related ones, to “proven”, and in the process to develop crash modification factors that are vital for estimating safety benefits in cost-benefit analysis and project prioritization in planning infrastructure safety measures. In fulfilling this need, there are limits to what can be achieved with traditional road safety analytical methods, and research returns in this area are rapidly diminishing despite the dearth of knowledge. To advance the science in addressing this void, I propose a five-year research plan with a long-term goal of filling elusive knowledge gaps on the safety implications of road infrastructure decisions. Some of these knowledge gaps are likely to occur in the future as traffic flow on roads is increasingly impacted by the various levels and mixtures of automation that now seem inevitable in the not so distant future. The five-year program will have three inter-related components that form the short-term objectives. The first component will continue my existing research on developing crash modification functions that relate the safety impacts of an engineering decision to application circumstances using crash and roadway data. This knowledge will not only allow more precise estimation of safety effects in making road infrastructure decisions in planning interventions, but will also facilitate the transferability of the derived knowledge. The second component will utilize the extensive naturalistic driving data recently acquired in the United States and Canada to investigate the viability of using crash surrogates to derive knowledge on safety effects of road design characteristics. The third component aims to quantify the safety performance of roads with mixes of manual and automated vehicles, recognizing that full automation and full penetration may be in the distant future. The proposed research will not only benefit the road safety research community through advancing the science in safety analysis, but it will also contribute towards fulfilling the objectives of the Canada's Road Safety Strategy (RSS) 2025 recently developed by the CCMTA in helping to achieve the Strategy's goal of making Canada's roads the safest in the world.

据加拿大汽车运输管理员理事会称，加拿大每年有近2 000人在使用加拿大道路时死亡，165 000人受伤（10 000人伤势严重），社会损失370亿美元。交通运输委员会网站上有一个用户可搜索的道路安全举措清单，道路安全利益攸关方可以采用或调整这些举措，以应对其具体的道路安全挑战。虽然其中一些措施已被“证明”有效，但人们注意到，对于其他措施，尚没有衡量的有效性，因此这些措施仅被视为“有希望”。 有必要了解衡量的安全效力，以便将那些有希望的措施，特别是与基础设施有关的措施重新归类为“经证明的”措施，并在这一过程中制定碰撞修正系数，这些系数对于在成本效益分析中估计安全效益和在规划基础设施安全措施时确定项目优先次序至关重要。 在满足这一需求时，传统的道路安全分析方法所能达到的效果是有限的，尽管缺乏知识，但这一领域的研究成果正在迅速减少。 为了推进解决这一空白的科学，我提出了一个为期五年的研究计划，其长期目标是填补道路基础设施决策安全影响方面的知识空白。其中一些知识差距可能会在未来出现，因为道路上的交通流量越来越受到各种自动化水平和混合的影响，这些自动化在不久的将来似乎是不可避免的。该五年计划将由三个相互关联的组成部分构成短期目标。第一个部分将继续我现有的研究，开发碰撞修改功能，涉及工程决策的安全影响，应用环境中使用碰撞和道路数据。这方面的知识不仅可以更准确地估计安全影响，在规划干预措施的道路基础设施的决策，但也将促进转让的派生知识。第二部分将利用最近在美国和加拿大获得的广泛的自然驾驶数据，调查使用碰撞替代品的可行性，以获得有关道路设计特征的安全影响的知识。 第三个组成部分旨在量化手动和自动车辆混合使用的道路的安全性能，认识到完全自动化和完全渗透可能是在遥远的未来。拟议的研究不仅将通过推进安全分析科学而使道路安全研究界受益，而且还将有助于实现CCMTA最近制定的加拿大2025年道路安全战略的目标，以帮助实现该战略使加拿大道路成为世界上最安全的道路的目标。