摘要
为了获取驾驶员车道变换行程中的视点转移特性,构建视点转移模型,解决驾驶员行为监控设备布设缺乏依据的难题,采用眼动仪和人工记录的方式,分别以轿车和公交车驾驶员为研究样本,获取了车道变换行为过程中驾驶员视点停留时间和视点位置转移特性数据,给出驾驶员的眼动停留时间均值和分布规律,基于外界的交通运行环境,根据驾驶员对外界信息的获取程度,考虑驾驶员、车辆、道路、环境等影响因素,设定其符合泊松分布,将驾驶行为分为决策阶段和执行阶段,给出了基于6个模块的流程结构,构建基于信息满意度的视点位置转移模型并标定了模型参数。
In order to obtain the characteristics of driver＇s fixation point shift during lane change, a fixation point shift model Was built to solve the problem of lacking equipment arrangement for monitoring driver behavior. The characteristic data of fixation time and fixation point shift of car and bus driver＇s during lane change were obtained by using the method of eye tracking system and manual record. The mean value and the distribution of driver＇s eye fixation time were given. Based on the traffic conditions and the information level which driver accessed from surrounding, considering the influencing factors such as driver, vehicle, road and environment, the Poisson distribution was set up, the driving behaviors was divided into decision-making and implementation phases, a flow structure which consists of six modules was given out, the fixation point shift model based on information satisfaction degree was built, and the model parameters were calibrated.
出处
《公路交通科技》
CAS
CSCD
北大核心
2010年第11期118-121,126,共5页
Journal of Highway and Transportation Research and Development
基金
国家高技术研究发展计划(八六三计划)资助项目(2007AA11Z231)
国家自然科学基金资助项目(50578056)
关键词
交通工程
车道变换
眼动行为
参数标定
traffic engineering
lane change
eye movement behavior
parameter calibration
