检索结果-南通市图书馆

The characteristics of driver lane-changing behaviour in congested road environments

Transportation Safety and Environment 2024年第3期6卷 96-110页

作者： Wanqi Wang Guozhu Cheng School of Traffic and Transportation Northeast Forestry UniversityHarbin 150040HeilongjiangChina

lane-changing behaviour is one of the complex|driving *** lane-changing behaviour of drivers may exacerbate congestion,however driver behavioural characteristics are difficult to accurately acquire and quantify,and thus tend to be simplified or ignored in existing lane-changing *** this paper,the Bik-means clustering algorithm is used to analyse the urban road congestion state discrimination ***,simulated driving tests were conducted for different traffic congestion *** the force feedback system and infrared camera,the data of driver lane-changing behaviours at different traffic congestion levels are obtained separately,and the definitions of the start and end points of a vehicle changing lanes are ***,statistical analysis and discussion of key feature parameters including driver lane-changing behaviour data and visual data under different levels of traffic congestion were *** is found that the average lane-change intention times in each congestion state are 2 s,4 s,6 s and 7 s,while the turn-signal duration and the number of rear-view mirror observations have similar patterns of change to the data on lane-changing intention ***,drivers’pupil diameters become smaller during the lane-changing intention phase,and then relatively enlarge during lane-changing;the range of pupil variation is roughly 3.5 mm to 4 *** frequency of observing the vehicle in front of the target lane increased as the level of congestion increased,and the frequency of observation in the driver’s mirrors while changing lanes approximately doubled compared to driving straight ahead,and this ratio increased as the level of congestion increased.

关键词： road congestion lane-changing behaviour Bik-means clustering algorithm characterization study

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Traffic dynamics of an on-ramp system with a cellular automaton model

引用

Chinese Physics B 2010年第6期19卷 77-82页

作者：李新刚高自友贾斌姜锐 MOE Key Laboratory for Urban Transportation Complex Systems Theory and Technology Beijing Jiaotong University School of Engineering Science University of Science and Technology of China

This paper uses the cellular automaton model to study the dynamics of traffic flow around an on-ramp with an acceleration lane. It adopts a parameter, which can reflect different lane-changing behaviour, to represent the diversity of driving behaviour. The refined cellular automaton model is used to describe the lower acceleration rate of a vehicle. The phase diagram and the capacity of the on-ramp system are investigated. The simulation results show that in the single cell model, the capacity of the on-ramp system will stay at the highest flow of a one lane system when the driver is moderate and careful; it will be reduced when the driver is aggressive. In the refined cellular automaton model, the capacity is always reduced even when the driver is careful. It proposes that the capacity drop of the on-ramp system is caused by aggressive lane-changing behaviour and lower acceleration rate.

关键词： lane-changing behaviour acceleration rate cellular automaton model on-ramp system

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

lane-changing trajectory prediction based on multi-task learning

引用

Transportation Safety and Environment 2023年第4期5卷 67-77页

作者： Xianwei Meng Jinjun Tang Fang Yang Zhe Wang Smart Transport Key Laboratory of Hunan Province School of Transport and Transportation EngineeringCentral South UniversityChangsha 410075HunanChina

As a complex driving behaviour,lane-changing(LC)behaviour has a great influence on traffic *** lane-changing behaviour often leads to traffic *** studies are currently being conducted to predict lane-change trajectories to minimize ***,most of their models focus on how to optimize input variables without considering the interaction between output *** study proposes an LC trajectory prediction model based on a multi-task deep learning framework to improve driving ***,in this work,the coupling effect of lateral and longitudinal movement is considered in the L.C *** changes in two directions will be modelled separately,and the information interaction is completed under the multi-task learing *** addition,the trajectory fragents are clustered by the driving features,and trajectory type recognition is added to the trajectory prediction framework as an auxiliary ***,the prediction process of lateral and longitudinal trajectory and LC style is completed by long short-term memory(LSTM).The model training and testing are conducted with the data collected by the driving simulator,and the proposed method expresses better performance in LC trjectory prediction compared with several traditional *** results of this study can enhance the trajectory prediction accuracy of advanced driving assistance systems(ADASs)and reduce the traffic accidents caused by lane changes.

关键词： lane-changing behaviour trajectory prediction long short-term memory(LSTM)network multi-task learning trajectory clustering

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

欢迎您,

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

在线全文

请选择保存的检索档案：

请选择收藏分类：

通借通还

欢迎您,

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

在线全文

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：