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基于安全驾驶行为风险特征的图谱表达方法 被引量:2

Graph Expression Method Based on Risk Characteristics of Safe Driving Behavior
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摘要 以自然驾驶条件下行为风险的辨识为目标,基于GPS数据,重点研究自然驾驶条件下驾驶行为的风险评估与行为特征表达.建立基于GPS数据的自然驾驶行为数据库,提出基于信息熵自然驾驶条件下行为风险评估方法,构建基于图谱的驾驶员个体驾驶行为特征表达方法.本文深入挖掘驾驶员个体驾驶行为模风险特征,构建驾驶行为图谱,为普通驾驶员在日常、自然驾驶条件下的行为风险预测预警提供了解决方案,为推进道路交通安全水平提升提供了理论参考和技术支撑. Driving safety has been a key problem to the health and sustainable development of the transportation system. This paper focuses on the identification of behavioral risks under natural driving conditions based on GPS data, and examines the risk assessment and expression of behavioral characteristics of driving behaviors under natural driving conditions. The natural driving behavior database based on GPS data was established,and the behavior risk assessment method based on the information entropy under the condition of natural driving was put forward. The in-depth exploration of risk characteristics of individual drivers’ driving behaviors and the construction of driving behavior map provide practical solutions for the prediction and early warning of behavioral risks of ordinary drivers under daily and natural driving conditions. This study provides a theoretical reference and technical support for promoting the improvement of road traffic safety.
作者 刘畅 亓航 陈晨 LIU Chang;QI Hang;CHEN Chen(The Key Laboratory of Transportation Engineering,Beijing University of Technology,Beijing 100124,China;Shenzhen Urban Transport Planning Center,Shenzhen 518057,China)
出处 《交通工程》 2019年第6期13-18,32,共7页 Journal of Transportation Engineering
基金 国家自然科学基金(NO.61672067),基于深度学习的生态驾驶行为判别模型及矫正方法研究 北京市教育委员会科技计划重点项目(NO.KZ201710005005),基于隐性特征挖掘的个体驾驶行为管理方法研究
关键词 自然驾驶 行为风险评估 行为图谱表达 特征分析 natural driving behavioral risk assessment behavior map expression characteristics analysis
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