期刊文献+

快速路合流区大型车换道时空特征及风险研究 被引量:10

Research on Spatiotemporal Characteristic and Risk of Lane-Changing Behaviors of Large Vehicles in Expressway Merging Area
在线阅读 下载PDF
导出
摘要 为了研究大型车换道行为特性及其风险状况,基于无人机拍摄与图像识别技术,采集快速路合流区大型车运动轨迹数据,并对其换道特性和时空风险进行分析。结果表明:大型车换道持续时间的平均值为5.28 s,前半时间平均值为2.60 s,后半时间平均值为2.68 s,纵向换道行驶距离平均值为78.12 m,均服从Weibull分布,且均与换道速度显著相关,大型车换道持续时间及前半时间均和与原车道前车间距、与目标车道前车间距显著相关,前半时间还与沿车道线距离显著相关;75.40%的大型车在合流区瓶颈路段前100 m内开始变道,且由外侧车道向内侧车道依次扩散;大型车与原车道前车的车间距和相对速度平均值最小,分别为22.91 m、-0.90 m/s,若换道间隙较小,驾驶员更倾向于在换道间隙缩小缓慢或不断扩大时换道;大型车换道时与原车道前车的碰撞风险最高,约有15.32%大型车换道时与前车处于不安全状态。 In order to study the characteristics and risks of lane-changing behaviors of large vehicles,trajectory data of large vehicles in the expressway merging area was collected based on drone shooting and image recognition technology,and lane-changing characteristics and spatiotemporal risks of large vehicles were analyzed.The results indicate that the average value of the lane change duration of large vehicles is 5.28 s,the average value of the first half time is 2.60 s,the average value of the last half time is 2.68 s,and the average value of longitudinal lane change travel distance is 78.12 meters.They all obey Weibull Distribution,and are significantly related to lane-changing speed.The lane change duration and the first half time are significantly related to the distance between the large vehicle and the vehicle in front in the original lane and the distance between the large vehicle and the vehicle in front in the target lane.The first half time is also significantly related to the distance along the lane line.75.40%of large vehicles start to change lanes within 100 meters before the bottleneck section of the merging area,and the occurrence of lane-changing behavior spreads from the outer lane to the inner lane in turn.The ave-rage distance and relative speed between the large vehicle and the vehicle in front in the original lane are the smallest,which are 22.91 meters and-0.90m/s,respectively.If the lane change gap is small,the driver will be more inclined to change lane when the lane change gap shrinks slowly or continuously expands.The large vehicle has the highest risk of collision with the vehicle in front in the original lane,and approximately 15.32%of large vehicles change lanes when they are in an unsafe state with the vehicles in front.
作者 温惠英 李秋灵 赵胜 WEN Huiying;LI Qiuling;ZHAO Sheng(School of Civil Engineering and Transportation,South China University of Technology,Guangzhou 510640,Guangdong,China)
出处 《华南理工大学学报(自然科学版)》 EI CAS CSCD 北大核心 2022年第5期11-21,共11页 Journal of South China University of Technology(Natural Science Edition)
基金 国家自然科学基金资助项目(52072131)。
关键词 大型车 快速路合流区 换道特性 换道风险 换道持续时间 换道速度 车间距 碰撞风险 large vehicle expressway merging area lane-changing characteristics lane-changing risk lane-changing duration lane-changing speed vehicle spacing collision risk
  • 相关文献

参考文献13

二级参考文献68

  • 1金立生,Bartvan Arem,杨双宾,Mascha van der Voort,Martijn Tideman.高速公路汽车辅助驾驶安全换道模型[J].吉林大学学报(工学版),2009,39(3):582-586. 被引量:30
  • 2宗长富,杨肖,王畅,张广才.汽车转向时驾驶员驾驶意图辨识与行为预测[J].吉林大学学报(工学版),2009,39(S1):27-32. 被引量:28
  • 3德国Bosch公司.汽车安全性与舒适性系统[M].北京:北京理工大学出版社,2007.
  • 4LI Keqiang, CHEN Tao, LUO Yugong, et al. Intelligent environment-friendly vehicles Concept and case studies [J]. IEEE Transactions on Intelligent Transportation Systems, 2012, 13(1): 318-328.
  • 5Hatipoglu C, 0zginer U, Redmill K A. Automated lane change controller design [J]. IEEE Transactions on Intelligent Transportation Systems, 2003, 4(1) : 13 - 22.
  • 6LI Shengbo, LI Keqiang, Rajamani R, et al. Model predictive multi-objective vehicular adaptive cruise control [J]. IEEE Transactions on Control Systems Technology, 2011, 19(3)= 556-566.
  • 7Ioannou P A, Stefanovic M. Evaluation of ACC vehicles in mixed traffic: Lane change effcets and sensitivity analysis [J]. IEEE Transactions on Intelligent Transportation Systems, 2005, 6(1) 79-89.
  • 8Kim D, Moon S, Park J, et al. Design of an adaptive cruise control/collision avoidance with lane change support for vehicle autonomous driving [C]// Proc of the ICROS-SICE International Joint Conference. Fukuoka, Japan: IEEE Press, 2009: 2938-2943.
  • 9Freyer J, Deml B, Maurer M, et al. ACC with enhanced situation awareness to reduce behavior adaptations in lane change situations [C]// Proc of 2007 IEEE Intelligent Vehicles Symposium. Istanbul, Turkey: IEEE Press, 2007: 999 - 1004.
  • 10amed K I, Ben-Akiva M E, Koutsopoulos H N, et al. Models freeway lane changing and gap acceptance behavior [C]// oceedings of the 13th International Symposium on the Theory Traffic Flow and Transportation. Lyon, France, 1996.

共引文献198

同被引文献96

引证文献10

二级引证文献18

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部