详情

Critical Areas in Advanced Driver Assistance Systems Safety: Point of Sale and Crash Reporting

项目名称：	Critical Areas in Advanced Driver Assistance Systems Safety: Point of Sale and Crash Reporting
摘要：	Automated vehicle technologies vary from simple alerts to partially automated driving tasks that are increasingly available in today’s vehicles. Advanced driver assistance systems (ADAS) seek to alert a driver to critical events (e.g., forward collision warning) or even intervene (e.g., emergency braking, lane-keeping steering) to prevent crashes. These technologies, however, are not available equally across the passenger vehicle fleet, nor is there standardization in how their uses and limitations are marketed to potential buyers or demonstrated at point of sale, including by increasingly popular online “dealerships” like Vroom and Carvana. The proliferation of ADAS has also outpaced crash scene data collection methods and updates to current crash investigation forms. ADAS variables are not currently included in the Model Minimum Uniform Crash Criteria (MMUCC) guidelines and thus unlikely to exist on crash reports for most states. Realizing the full benefit of Advanced Driver Assistance Systems (ADAS) relies on salespeople, consumers, and law enforcement understanding their benefits and limitations in improving traffic safety. Through three interrelated studies, this project will investigate the state of knowledge and current practices on how ADAS technologies are marketed, sold, and demonstrated at point-of-sale, how information on ADAS is collected in crash reports, and what existing crash data reveal about the state of knowledge on ADAS in crash involvement. This project addresses gaps that create a substantial safety risk where salespeople, drivers, and law enforcement may not understand the correct use and limitations of ADAS.
状态：	Active
资金：	Updating
资助组织：	Office of the Assistant Secretary for Research and Technology
项目负责人：	Glenn, Eric Zachary
执行机构：	Texas A&M Transportation Institute (TTI)
开始时间：	20210901
预计完成日期：	20230831
主题领域：	Data and Information Technology；Safety and Human Factors；Vehicles and Equipment