I-Corps: Safe Driving Routing Tool

I-Corps：安全驾驶路线工具

• 批准号: 2349882
• 负责人: Subasish Das
• 金额: $ 5万
• 依托单位: Texas State University - San Marcos
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2024
• 资助国家: 美国
• 起止时间: 2024-02-01 至 2025-01-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2349882&HistoricalAwards=false
• 关键词: Corps; Safe; Driving; Routing; Tool

The broader impact/commercial potential of this I-Corps project is the development of a safe routing tool that uses multi-source data and associated data fusion to provide risk scoring based on real-time traffic, weather, and roadway conditions. With traffic crashes claiming 42,939 lives in the U.S. in 2021, integrating safer route analyses into navigation tools can revolutionize the mapping industry and enhance road safety. This technology not only serves as a tool for individual users seeking safer routes. Transportation authorities can leverage the technology and data for more effective road safety initiatives. Additionally, the adoption of this tool can incentivize safer driving behaviors, potentially leading to reduced insurance premiums, benefiting both users and insurance companies. Beyond its immediate impact, the project opens avenues for collaboration and knowledge-sharing among academic and research institutions.This I-Corps project is based on the development of a roadway risk scoring system for optimal route mapping. The technology integrates a safe system approach into route selection. The tool combines data from various historical and real-time sources related to road conditions, traffic, crashes, and weather. The solution employs a robust multi-source data fusion strategy to determine safety risks. In addition, the system employs advanced computer vision and artificial intelligence (AI) algorithms to generate real-time safety probability scores for different routes. This real-time evaluation marks a significant advancement in ensuring user safety, significantly improving the accuracy and reliability of the safety information provided to users. This information empowers users to make informed, data-driven decisions about their routes and travel plans and ensures that the tool offers a good understanding of potential hazards on various routes.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

该 I-Corps 项目更广泛的影响/商业潜力是开发一种安全路线工具，该工具使用多源数据和相关数据融合来提供基于实时交通、天气和道路状况的风险评分。 2021 年，美国发生交通事故，导致 42,939 人丧生，将更安全的路线分析集成到导航工具中可以彻底改变地图行业并提高道路安全。该技术不仅可以作为个人用户寻求更安全路线的工具。交通当局可以利用这些技术和数据来实施更有效的道路安全举措。此外，采用该工具可以激励更安全的驾驶行为，有可能降低保险费，使用户和保险公司都受益。除了直接影响之外，该项目还为学术和研究机构之间的合作和知识共享开辟了途径。该 I-Corps 项目基于开发用于最佳路线测绘的道路风险评分系统。该技术将安全系统方法集成到路线选择中。该工具结合了与道路状况、交通、碰撞和天气相关的各种历史和实时来源的数据。该解决方案采用强大的多源数据融合策略来确定安全风险。此外，该系统采用先进的计算机视觉和人工智能（AI）算法，为不同路线生成实时安全概率评分。这种实时评估标志着在确保用户安全方面取得了重大进步，显着提高了向用户提供的安全信息的准确性和可靠性。这些信息使用户能够就其路线和旅行计划做出明智的、数据驱动的决策，并确保该工具能够很好地了解各种路线上的潜在危险。该奖项反映了 NSF 的法定使命，并通过评估被认为值得支持基金会的智力价值和更广泛的影响审查标准。