基于驾驶行为识别的车载交通信息数据实时发布系统研究

针对传统车载交通信息数据发布系统存在操控复杂、用户体验效果差、响应时间过程等问题,提出一种基于驾驶行为识别的车载交通信息数据实时发布系统。在车联网环境下,设计车载交通信息数据实时发布系统的硬件部分,其主要包括ARM处理器、GPS接收模块、行车记录信号采集模块、接口模块、存储器、车载网络、报警模块等。通过层次分析法对主因子决策权重进行分析,对驾驶行为特征进行提取,提取结果即为驾驶行为识别结果,根据识别结果和交通安全调查结果得到影响驾驶员行为的关键组成因子,实现对异常汽车运行信息和异常驾驶行为信息进行警报处理。实验结果表明,所研究系统易于操控,并具有良好的人机交互体验,能够减轻驾驶员心理负担,提高驾驶安全性,且响应时延低。

Research on vehicle traffic information data real-time publishing system based on driving behavior recognition

The traditional vehicle traffic information release system has complicated control, user experience, poor response time etc., therefore, this paper proposes a real-time vehicle traffic information system based on data driving behavior recognition. In the car networking environment, the system design of vehicle real-time traffic information data of the hardware part, it mainly includes the ARM processor, GPS module, driving record signal acquisition module, interface module, memory, network, vehicle alarm module etc.. Through the level of analysis to the main factors of driving behavior decision weighting method, feature extraction, the extraction result is the driving behavior recognition results, according to the key recognition results and traffic safety survey results affect the driver behavior factor of vehicle operation, abnormal information and abnormal driving behavior information of alarm processing. The experimental results show that the system is easy to control, and has good human-computer interaction experience. It can reduce the driver''s psychological burden and improve the driving safety, and the response time is low.