Advancing Vision Zero Road Safety with Operational AI and Smart City Data

利用运营人工智能和智能城市数据推进零道路安全愿景

• 批准号: 561017-2020
• 负责人: Bachmann, Christian
• 金额: $ 5.91万
• 依托单位: University of Waterloo
• 依托单位国家: 加拿大
• 项目类别: Alliance Grants
• 财政年份: 2021
• 资助国家: 加拿大
• 起止时间: 2021-01-01 至 2022-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=723621
• 关键词: Advancing; Vision; Zero; Road; Safety

Vision Zero is a road safety strategy aimed at achieving no road user fatalities or serious injuries with a specific focus on vulnerable road users (VRUs) such as pedestrians and cyclists. Each year in Canada, about 2,000 people are killed and 165,000 are injured (10,000 seriously), while using our road transportation system. The annual social costs of the motor vehicle collisions in terms of loss of life, medical treatment, rehabilitation, lost productivity, and property damage are measured in tens of billions of dollars - estimated at 40.7 billion (or 2.1% of GDP) for Canada in 2017.The goal of the proposed research is to advance the planning, designing and evaluation of various road safety strategies and safety countermeasures by leveraging emerging data sources and recent advances in artificial intelligence. For example, the emergence of video- and laser-based smart city sensors provides an opportunity to monitor traffic "conflicts" - situations where there is an increased risk of collision. Then, artificial intelligence can use these data to predict collisions in the future. Similarly, these data can be used to develop simulation models to test road safety projects and policies that do not yet exist in reality. Hence, the proposed research will develop state-of-the-art tools and techniques for quantitatively assessing the road safety effects of decisions made in the planning, design, operations, and maintenance of transportation systems.The proposed research is anticipated to directly enhance the Vision Zero plans developed concurrently by the partnering cities of Kitchener and Waterloo. Similarly, Miovision, a leading and partnering smart city sensor provider, is anticipated to commercialize promising developments for applications in other Canadian cities.

零愿景是一项道路安全战略，旨在实现道路使用者不死亡或重伤，特别关注行人和骑自行车者等弱势道路使用者 (VRU)。在加拿大，每年约有 2,000 人在使用我们的道路运输系统时丧生，165,000 人受伤（10,000 人重伤）。机动车碰撞每年造成的生命损失、医疗、康复、生产力损失和财产损失等社会成本达数百亿美元——2017 年加拿大估计为 407 亿美元（占 GDP 的 2.1%）。 2017.拟议研究的目标是利用新兴数据源和人工智能的最新进展，推进各种道路安全策略和安全对策的规划、设计和评估。例如，基于视频和激光的智能城市传感器的出现为监控交通“冲突”（碰撞风险增加的情况）提供了机会。然后，人工智能可以使用这些数据来预测未来的碰撞。同样，这些数据可用于开发模拟模型，以测试现实中尚不存在的道路安全项目和政策。因此，拟议的研究将开发最先进的工具和技术，用于定量评估交通系统规划、设计、运营和维护决策的道路安全影响。预计拟议的研究将直接增强基奇纳和滑铁卢伙伴城市同时制定了“零愿景”计划。同样，领先的智能城市传感器合作提供商 Miovision 预计将在加拿大其他城市将有前途的应用开发商业化。