[1]龙雪琴,林海斌,杨子江.考虑宏-微观跨层效应的车辆换道意图影响因素分析[J].长安大学学报(自然科学版),2024,44(6):114-123.[doi:10.19721/j.cnki.1671-8879.2024.06.011]
　LONG Xue-qin,LIN Hai-bin,YANG Zi-jiang.Analysis of influencing factors of vehicle lane changing intention considering macro-micro cross-layer effect[J].Journal of Chang’an University (Natural Science Edition),2024,44(6):114-123.[doi:10.19721/j.cnki.1671-8879.2024.06.011]
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考虑宏-微观跨层效应的车辆换道意图影响因素分析()
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长安大学学报（自然科学版）[ISSN:1006-6977/CN:61-1281/TN]

卷:
第44卷
期数:
2024年6期
页码:
114-123
栏目:
交通工程
出版日期:
2024-12-30

文章信息/Info

Title:
Analysis of influencing factors of vehicle lane changing intention considering macro-micro cross-layer effect
文章编号:
1671-8879(2024)06-0114-10
作者:
龙雪琴; 林海斌; 杨子江
(长安大学 运输工程学院,陕西 西安 710064)
Author(s):
LONG Xue-qin;  LIN Hai-bin;  YANG Zi-jiang
(College of Transportation Engineering, Chang'an University, Xi'an 710064, Shaanxi, China)
关键词:
交通工程;  换道意图;  多层线性模型;  跨层交互;  影响因素分析
Keywords:
traffic engineering;  lane change intention;  multi-layer linear model;  cross-layer interaction;  analysis of influencing factors
分类号:
U491
DOI:
10.19721/j.cnki.1671-8879.2024.06.011
文献标志码:
A
摘要:
为实现对高速公路车辆换道意图的准确分析,揭示交通流状态和车辆运行状态双层因素对换道意图的交互作用,考虑车辆在换道过程中宏观因素和微观状态的跨层交叉效应,构建基于多层线性模型的车辆换道意图模型。以High D数据集作为样本库,根据车辆换道的横纵向运行规律提取换道和车道保持样本; 结合相关性及多重共线性分析结果,选择4个对驾驶人换道意图有显著影响的车辆微观运行状态因素和2个宏观层面的交通流运行状态因素,作为多层线性模型的解释变量,分别建立零模型、随机系数模型和完整模型; 使用重要性能指标对模型进行比较,验证宏-微观多水平因素对换道意图的影响。研究结果表明:驾驶人换道意图同时受到微观车辆个体层因素和宏观交通流层因素的影响; 微观上,驾驶人换道行为多是由当前车道周边车辆个体的驾驶行为所引起; 一定的微观驾驶行为特征下,车道平均速度增加会降低驾驶人换道意图,而车道密度增加将进一步刺激驾驶人的换道行为,微观车辆个体与宏观交通流指标之间存在着显著的跨层交互效应; 考虑宏-微观影响因素的多层线性模型比单水平模型和仅单层的随机效用理论模型具有更高的拟合优度和模型精度,较真实地反映了车辆换道的交互行为,能够更好地解释车辆个体与交通流间的嵌套关系。
Abstract:
To accurately analyze the lane changing intention of vehicles on expressways and reveal the interaction between traffic flow state and vehicle running state, a vehicle lane changing intention model based on multi-layer linear model was constructed, considering the cross-layer crossover effect of macro factors and micro states of vehicles during lane changing. With High D data set as the sample library, lane change samples were extracted according to the transverse and longitudinal running regular of vehicle lane changing. Combined with the correlation and multicollinearity analysis results, four kinds of vehicles' micro running states and two kinds of traffic flow macro running states that have significant influence on drivers' lane changing intention were selected as explanatory variables for the multi-layer linear model. The zero model, random coefficient model and complete model were established respectively, the influence of macro-micro multilevel factors on lane changing intention was verified by comparing the models with important performance indexes. The results show that the vehicles' lane changing intention is influenced both by micro factors of vehicles' individual layer and macro factors of traffic flow layer. From the micro point of view, vehicles' lane changing behavior is mostly caused by other vehicles' driving behavior around the current lane. For the certain micro-driving behavior characteristics, the average driving speed will reduce vehicles' lane changing intention, while the vehicles' density will further stimulate vehicles' lane changing behavior. There is a significant cross-layer interaction effect between the micro-vehicle individual and the macro-traffic flow indexes. The multi-layer linear model considering macro and micro influencing factors has higher goodness of fit and model accuracy than the single-level model and the single-layer stochastic utility theory model. The model reflects the interactive behavior of vehicles' lane changing more veritably, and can better explain the nested relationship between vehicle individual and traffic flow.10 tabs, 5 figs, 25 refs.

参考文献/References:

[1] 张 帅.高速公路下智能车自主换道算法研究[D].长春:吉林大学,2019.
ZHANG Shuai.Studies on lane changing algorithm of intelligent vehicle on highways[D].Changchun:Jilin University,2019.
[2]YI D W,SU J Y,LIU C J,et al.Trajectory clustering aided personalized driver intention prediction for intelligent vehicles[J].IEEE Transactions on Industrial Informatics,2019,15(6):3693-3702.
[3]LEE S E,OLSEN E C B,WIERWILLE W W.A comprehensive examination of naturalistic lane-changes[R].Washington D C:National Highway Traffic Safety Administration,2004.
[4]FITCH G M,LEE S E,KLAUER S,et al.Analysis of lane-change crashes and near-crashes[R].Washington DC:National Highway Traffic Safety Administration,2009.
[5]AHMED K,BEN-AKIVA M,KOUTSOPOULOS H N,et al.Models of freeway lane changing and gap acceptance behavior[C]//Transportation and Traffic Theory.Proceedings of the 13th International Symposium on Transportation and Traffic Theory.Oxford:Elsevier,1996:501-515.
[6]TOLEDO T,KOUTSOPOULOS H N,BEN-AKIVA M.Integrated driving behavior modeling[J].Transportation Research Part C,2007,15(2):96-112.
[7]SUN D J,ELEFTERIADOU L.Lane-changing behavior on urban streets:An “in-vehicle” field experiment-based study[J].Computer-Aided Civil and Infrastructure Engineering,2012,27(7):525-542.
[8]郭海兵,曲大义,洪家乐,等.基于效用理论的车辆换道交互行为及决策模型[J].科学技术与工程,2020,20(29):12185-12190.
GUO Hai-bing,QU Da-yi,HONG Jia-le,et al.Vehicle lane changing interaction behavior and decision model based on utility theory[J].Science Technology and Engineering,2020,20(29):12185-12190.
[9]顾金刚,蒲科辰,杨 达,等.基于前景理论的换道决策模型研究[J].重庆交通大学学报(自然科学版),2022,41(6):30-36.
GU Jin-gang,PU Ke-chen,YANG Da,et al.Lane-changing decision model based on prospect theory[J].Journal of Chongqing Jiaotong University(Natural Science),2022,41(6):30-36.
[10]杨 达,苏 刚,吴丹红,等.基于社会力的驾驶员换道决策行为建模[J].西南交通大学学报,2018,53(4):791-797.
YANG Da,SU Gang,WU Dan-hong,et al.Modelling drivers' lane-changing decision behaviour based on social force[J].Journal of Southwest Jiaotong University,2018,53(4):791-797.
[11]GIPPS P G.A model for the structure of lane-changing decisions[J].Transportation Research Part B,1986,20(5):403-414.
[12]YANG Q,KOUTSOPOULOS H N.A Microscopic traffic simulator for evaluation of dynamic traffic management systems[J].Transportation Research Part C,1996,4(3):113-129.
[13]魏丽英,隽志才,田春林.驾驶员车道变换行为模拟分析[J].中国公路学报,2001,14(1):77-80.
WEI Li-ying,JUAN Zhi-cai,TIAN Chun-lin.Simulation analysis of driver's lane-changing behavior[J].China Journal of Highway and Transport,2001,14(1):77-80.
[14]潘兵宏,章泽龙,周 乾,等.基于sigmoid换道模型的匝道连续分流间距[J].长安大学学报(自然科学版),2023,43(6):37-48.
PAN Bing-hong,ZHANG Ze-long,ZHOU Qian,et al.Continuous diversion spacing of ramps based on sigmoid lane-change model[J].Journal of Chang'an University(Natural Science Edition),2023,43(6):37-48.
[15]付 锐,张海伦,刘文晓,等.驾驶人意图识别综述[J].长安大学学报(自然科学版),2022,42(1):33-60.
FU Rui,ZHANG Hai-lun,LIU Wen-xiao,et al.Review on driver intention recognition[J].Journal of Chang'an University(Natural Science Edition),2022,42(1):33-60.
[16]ZHANG J Y,LIAO Y P,WANG S F,et al.Study on driving decision-making mechanism of autonomous vehicle based on an optimized support vector machine regression[J].Applied Sciences,2017,8(1):13.
[17]TANG J J,LIU F,ZHANG W H,et al.Lane-changes prediction based on adaptive fuzzy neural network[J].Expert Systems with Applications,2018,91:452-463.
[18]XIE D F,FANG Z Z,JIA B,et al.A data-driven lane-changing model based on deep learning[J].Transportation Research Part C,2019,106:41-60.
[19]宋晓琳,曾艳兵,曹昊天,等.基于长短期记忆网络的换道意图识别方法[J].中国公路学报,2021,34(11):236-245.
SONG Xiao-lin,ZENG Yan-bing,CAO Hao-tian,et al.Lane change intention recognition method based on an LSTM network[J].China Journal of Highway and Transport,2021,34(11):236-245.
[20]谷新平,韩云鹏,于俊甫.基于决策机理与支持向量机的车辆换道决策模型[J].哈尔滨工业大学学报,2020,52(7):111-121.
GU Xin-ping,HAN Yun-peng,YU Jun-fu.Vehicle lane-changing decision model based on decision mechanism and support vector machine[J].Journal of Harbin Institute of Technology,2020,52(7):111-121.
[21]SHANGGUAN Q Q,FU T,WANG J H,et al.A proactive lane-changing risk prediction framework considering driving intention recognition and different lane-changing patterns[J].Accident,Analysis and Prevention,2022,164:106500.
[22]林志恒,何兆成,戴秀斌,等.考虑降雨影响的城市交通流车速多层线性模型研究[J].公路交通科技,2014,31(10):119-125.
LIN Zhi-heng,HE Zhao-cheng,DAI Xiu-bin,et al.Research on urban traffic speed hierarchical linear model considering rainfall effect[J].Journal of Highway and Transportation Research and Development,2014,31(10):119-125.
[23]张 香.基于自然驾驶的驾驶人跟驰行为分析及危险状态识别[D].西安:长安大学,2021.
ZHANG Xiang.Car-following behavior analysis of drivers based on natural driving and dangerous state recognition[D].Xi'an:Chang'an University,2021.
[24]张 雷,雷 雳,郭伯良.多层线性模型应用[M].北京:教育科学出版社,2003.
ZHANG Lei,LEI Li,GUO Bo-liang.Applied multilevel data analysis[M].Beijing:Educational Science Publishing House,2003.
[25]王志军,张豫徽,季彦婕,等.基于多层线性模型的公共自行车接驳公交换乘量影响因素分析[J].交通运输工程与信息学报,2022,20(3):81-88.
WANG Zhi-jun,ZHANG Yu-hui,JI Yan-jie,et al.Analysis of the influencing factors of public-bicycle-connecting regular bus transfer volume based on multilevel linear model[J].Journal of Transportation Engineering and Information,2022,20(3):81-88.

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备注/Memo

备注/Memo:
收稿日期:2023-12-28
基金项目:国家自然科学基金项目(52002033); 陕西省自然科学基础研究计划项目(2024JC-YBMS-338)
作者简介:龙雪琴(1982-),女,陕西西安人,副教授,工学博士,E-mail:xqlong@chd.edu.cn。
更新日期/Last Update: 2024-12-30