基于智能头盔的外卖骑手异常驾驶行为检测系统  

Intelligent helmet⁃based abnormal driving behavior detection system for take⁃away delivery riders

作　　者：唐坤 曹佳乐 刘歆煜 李海涛 郭唐仪[1] TANG Kun;CAO Jiale;LIU Xinyu;LI Haitao;GUO Tangyi(School of Automation,Nanjing University of Science and Technology,Nanjing 210094,China)

机构地区：[1]南京理工大学自动化学院,江苏南京210094

出　　处：《电子设计工程》2024年第18期1-5,共5页Electronic Design Engineering

基　　金：国家自然科学基金(52002184);中国博士后科学基金(2021M693935);江苏省高层次创新创业人才引进计划项目(JSSCBS20210223);中央高校基本科研业务费专项资金资助(30923011003)。

摘　　要：针对外卖骑手不规范驾驶行为对交通安全造成重要威胁的问题,提出一种基于智能头盔的外卖骑手异常驾驶行为检测系统。该系统由前端检测系统与后台监管系统两部分构成,前者通过摄像头、GPS、IMU等模块实时检测并判断外卖骑手的闯红灯、逆行与急性变道异常驾驶行为;后者通过骑手预警系统、企业管理系统与交警管理系统实现骑手预警、企业管理与交警取证。实地测试实验结果表明,前端检测系统能够有效对闯红灯、逆行与急性变道异常驾驶行为进行识别,后台监管系统能够对驾驶行为检测数据及结果进行管理与可视化,为提升外卖骑手骑行安全、优化外卖企业管理与助力交警权责确定提供了一种有效途径。In response to the significant threat posed by irregular driving behaviors of take⁃away delivery riders to traffic safety,this study proposes an intelligent helmet⁃based system to detect risk driving behaviors of food delivery riders.The system consists of a front⁃end detection system and a backend supervisory system.The former real⁃time identifies red⁃light running,wrong⁃way driving,and abrupt lane⁃changing behaviors of food delivery riders,using cameras,GPS,and IMU.The latter consists of rider warning system,enterprise management system and traffic management system,and works from the perspectives of delivery rider,delivery enterprise and traffic police.Field test results show that the abnormal driving behaviors of running red lights,riding against the road and changing lanes sharply can be identified by the front⁃end detection system,while the data and results obtained from the front⁃end detection system can be managed and visualized by the back⁃end management system.The proposed system provides a promising approach to detect abnormal driving behaviors of take⁃away delivery riders,and contributes to improving the riding safety of delivery riders,optimizing the management of delivery enterprises and helping traffic police determine the rights and responsibilities in traffic accidents.

关 键 词：智能头盔 异常驾驶 闯红灯 逆行 急性变道 

分 类 号：TN914[电子电信—通信与信息系统]