Developing AI-driven Safe Navigation Tool (06-002)

Project Description: Popular navigation applications such as Google Maps and Apple Maps provide distance-based or travel time-based alternative routes with no real-time risk scoring. There is a need for a real-time navigation system that can provide the data-driven decision on the safest path or route. By leveraging data from a diverse range of historical and real-time sources, this study successfully developed a user interface for a navigation tool or application that offers informed and data-driven decisions regarding the safest navigation options. The interface considers multiple scoring factors, including safety, distance, travel time, and an overall scoring metric. This study made a distinctive and valuable contribution by designing and implementing a robust safe navigation tool driven by artificial intelligence. Unlike existing navigation tools that offer multiple uninformed route options, this tool provides users with an informed decision on the safest route. By leveraging advanced AI algorithms and integrating various data sources, this navigation tool enhances the accuracy and reliability of route selection, thereby improving overall road safety and ensuring users can make informed decisions for their journeys. The research team provided a sample of 2021 segment level data with normalized safety score. Data Scope: 06_002SampleData is a geodatabase which provides normalized safety score on roadway segments which is used for the safe route selection. Data Specification: See Table 1 for description of each variable included in this dataset.项目说明： 主流导航应用（如Google Maps、Apple Maps）仅提供基于距离或出行时长的备选路线，未附带实时风险评分。当前亟需一款可基于数据驱动决策，为用户提供最优安全路径的实时导航系统。本研究依托多源历史与实时数据，成功开发了一款导航工具的用户界面，可向用户提供基于充分信息与数据驱动的安全导航方案决策支持。该界面综合考量安全、距离、出行时长等多项评分因子，并设置了综合评分指标。本研究通过设计并实现一款人工智能驱动的可靠安全导航工具，做出了兼具创新性与实用价值的重要贡献。与现有导航工具仅提供无决策依据的多条路线不同，本工具可为用户提供基于充分信息的最优安全路径选择。本导航工具依托先进人工智能算法与多源数据融合技术，提升了路径选择的准确性与可靠性，进而优化整体道路交通安全水平，保障用户能够为出行做出明智决策。研究团队提供了2021年的路段级标准化安全评分样本数据。 数据范围： 06_002样本数据（06_002SampleData）为地理数据库（geodatabase），包含用于安全路径选择的道路路段标准化安全评分。 数据规格： 本数据集各变量的详细说明见表1。