吉林大学学报(工学版) ›› 2017, Vol. 47 ›› Issue (6): 1716-1727.doi: 10.13229/j.cnki.jdxbgxb201706007

• Orginal Article • Previous Articles     Next Articles

Effect of low visibility in haze weather condition on longitudinal driving behavior in different car-following stages

GAO Kun1, 2, TU Hui-zhao1, 2, SHI Heng1, 2, LI Zhen-fei3   

  1. 1.Key Laboratory of Road and Traffic Engineering of the Ministry of Education, Tongji University, Shanghai 201804, China;
    2.College of Transportation Engineering, Tongji University, Shanghai 201804, China;
    3.Overseas Department, China State Construction Engineering Co., Ltd., Beijing 100037,China
  • Received:2016-08-29 Online:2017-11-20 Published:2017-11-20

RICH HTML

0   

PDF (PC)

168

Abstract: Using a high fidelity driving simulator with eight degrees of freedom, the effect of low visibility in haze weather condition on the driving behavior of three Car-Following (CF) stages (acceleration, deceleration and steady following stages) are analyzed from both engineering CF models and psychological-physiological CF model. The results show that the low visibility environment in haze weather condition has significantly different impacts on driving behavior of different CF stages. In acceleration CF stage, the drivers' sensitivity in changes of relative speed and spacing, as well as maximum desired acceleration under haze weather condition are significantly lower, 29.3%, 33.1% and 17.4% respectively, than that under clear weather condition. Meanwhile the heterogeneities in driving behavior are substantially larger in haze weather condition. In the deceleration stage, drivers' sensitivity in changes of relative speed, maximum desired deceleration and expected maximum deceleration of the leading vehicle under haze weather condition are significantly larger, 31.7%, 17.8% and 16.3% respectively, than that in clear weather condition. Whereas, the drivers' sensitivity in change of the spacing decreases by 32.1% in haze weather condition. In steady CF stage, the drivers have larger sensitivities in changes of relative speed, 41.6% higher in average in haze weather than that in clear weather, and have slightly smaller maximum desired acceleration and deceleration. However, there are no significant differences in desired speed and drivers' reaction to the change in spacing under different weather conditions. Moreover, the action points of acceleration and deceleration indicate that the drivers under low visibility in haze weather adopt quicker acceleration to follow the leading vehicle more closely, and are more cautious to take quicker braking action to avoid collision. The main findings of this paper provide references for setting-up of microscopic simulation for emergency traffic evacuation in case of low visibility in haze weather condition.

Key words: engineering of communications and transportation system, low visibility under hazy weather conditions, car-following behavior, action point

CLC Number: 

  • U491.2
[1] 台德清. 雾天高速公路交通管制方法及对策研究[D]. 成都:西南交通大学交通运输与物流学院,2011.
Tai De-qing. Traffic control method and countermeasure research of highway on foggy day[D].Chengdu: School of Transportation and Logistics, Southwest Jiaotong University,2011.
[2] 李显生,任园园,席建锋,等. 非强制性控速设施下的驾驶员速度控制模型[J]. 吉林大学学报:工学版,2010,40(增刊1):169-173.
Li Xian-sheng, Ren Yuan-yuan, Xi Jian-feng, et al. Driver's speed control model based on non-madatory speed-control facilities[J]. Journal of Jilin University(Engineering and Technology Edition),2010,40(Sup.1):169-173.
[3] 商蕾. 城市微观交通仿真及其应用[D]. 武汉:武汉理工大学交通学院,2003.
Shang Lei. Urban microscopic traffic simulation and its application[D]. Wuhan:School of Transportation, Wuhan University of Technology,2003.
[4] 金立生,Arem B V,杨双宾, 等. 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.
Jin Li-sheng, Arem B V, Yang Shuang-bin, et al. Safety lane change model of vehicle assistanct driving on highway[J]. Journal of Jilin University(Engineering and Technology Edition),2009,39(3):582-586.
[5] Saifuzzaman M,Zheng Z. Incorporating human-factors in car-following models: a review of recent developments and research needs[J]. Transportation Research Part C: Emerging Technologies,2014,48:379-403.
[6] Gazis D C, Herman R, Rothery R W. Nonlinear follow-the-leader models of traffic flow[J]. Operations Research,1961,9(4):545-567.
[7] Gipps P G, A behavioural car-following model for computer simulation[J]. Transportation Research Part B: Methodological,1981,15(2):105-111.
[8] Wiedemann R. Simulation des strassenverkehrsflusses[J]. Traffic Engineering,1975:66-68.
[9] Hawkins R K. Motorway traffic behaviour in reduced visibility conditions[C]//Second International Conference on Vision in Vehicles,Nottingham,United Kingdom,1988:9-18.
[10] White M E,Jeffery D J. Some aspects of motorway traffic behaviour in fog[R]. Transportation Research Record: Journal of the Transportation Research Board, Berkshire, England,1980:958.
[11] 赵佳. 基于驾驶模拟实验的雾天对驾驶行为影响的研究[D]. 北京:北京交通大学交通学院,2012.
Zhao Jia. Study of driving behavior under fog weather condition based on driving simulator experiment[D]. Beijing:School of Transportation, Beijing Jiaotong University,2012.
[12] Saffarian M, Happee R, de Winter J C F. Why do drivers maintain short headways in fog? a driving-simulator study evaluating feeling of risk and lateral control during automated and manual car following[J]. Ergonomics,2012,55(9):971-985.
[13] Hogema J, van der Horst R. Driving behaviour under adverse visibility conditions[C]//Proceedings of the First World Congress on Applications of Transport Telematics and Intelligent Vehicle-Highway Systems, Paris, 1994:1623-1630.
[14] 李晓梦,闫学东,赵佳,等. 雾天对弯道驾驶行为的影响研究[J]. 交通信息与安全,2014(5):120-125.
Li Xiao-meng, Yan Xue-dong, Zhao Jia, et al.Effects of fog conditions on driving behaviors on curves[J]. Journal of Transportation Information and Safety,2014(5):120-125.
[15] 何莎,闫学东,庞洪涛, 等. 雾天对驾驶行为的影响研究——避撞驾驶行为[J]. 交通信息与安全,2014(5):126-129,184.
He Sha, Yan Xue-dong, Pang Hong-tao, et al. Effects of fog conditions on driving behaviors-crash avoidance driving behaviors[J]. Journal of Transportation Information and Safety,2014(5):126-129,184.
[16] Broughton K L, Switzer F, Scott D. Car following decisions under three visibility conditions and two speeds tested with a driving simulator[J]. Accident Analysis & Prevention,2007,39(1):106-116.
[17] Hoogendoorn R G, Tamminga G, Hoogendoorn S, et al. Longitudinal driving behavior under adverse weather conditions: adaptation effects, model performance and freeway capacity in case of fog[C]//13th International IEEE Conference on Intelligent Transportation Systems,Portugal,2010:450-455.
[18] Hoogendoorn R G, Hoogendoorn S, Brookhuis K, et al. Adaptation longitudinal driving behavior, mental workload, and psycho-spacing models in fog[J]. Transportation Research Record: Journal of the Transportation Research Board,2011(2249):20-28.
[19] Hoogendoorn R G. Empirical research and modeling of longitudinal driving behavior under adverse conditions[D]. Delft:Delft University of Technology,2012.
[20] Tu H Z,Li Z F,Li H, et al. Driving simulator fidelity and emergency driving behavior[J]. Transportation Research Board,2015(2518):113-121.
[21] 涂辉招,李振飞,孙立军. 驾驶模拟器运动系统对自由驾驶行为的影响分析[J]. 同济大学学报:自然科学版,2015,43(11):1696-1702.
Tu Hui-zhao,Li Zhen-fei,Sun Li-jun, Effects of motion system of driving simulator on free driving behaviors[J]. Journal of Tongji University (Nature Science),2015,43(11):1696-1702.
[22] Helly W. Simulation of bottlenecks in single-lane traffic flow[C]//Proceeding of Symposium on Theory of Traffic Flow, Britain,2004:207-238.
[23] 王殿海,金盛. 车辆跟驰行为建模的回顾与展望[J]. 中国公路学报,2012,25(1):115-127.
Wang Dian-hai, Jin Sheng. Review and outlook of modeling of car following behavior[J]. China Journal of Highway and Transport,2012,25(1):115-127.
[24] Punzo V, Ciuffo B, Montanino M. Can results of car-following model calibration based on trajectory data be trusted?[J]. Transportation Research Record: Journal of the Transportation Research Board,2012(2315):11-24.
[25] Kesting A,Treiber M. Calibrating car-following models by using trajectory data: Methodological study[J]. Transportation Research Record: Journal of the Transportation Research Board, 2008(2088):148-156.
[26] Saifuzzaman M, Zheng Z, Haque M M, et al. Revisiting the task-capability interface model for incorporating human factors into car-following models[J]. Transportation Research Part B: Methodological,2015,82:1-19.
[27] Brackstone M,McDonald M. Car-following: a historical review[J]. Transportation Research Part F: Traffic Psychology and Behaviour,1999,2(4):181-196.
[28] Brackstone M, Sultan B, McDonald M. Motorway driver behaviour:studies on car following[J]. Transportation Research Part F: Traffic Psychology and Behaviour,2002,5(1):31-46.
[29] 李振飞. 基于8自由度驾驶模拟器雾霾天气下跟驰行为研究[D]. 上海:同济大学交通运输工程学院,2015.
Li Zhen-fei. Car following behavior under haze weather: simulating by 8-degree-of-freedom high fidelity driving simulator[D]. Shanghai:College of Transportation Engineering,Tongji University,2015.
[1] CHEN Yong-heng,LIU Fang-hong,CAO Ning-bo. Analysis of conflict factors between pedestrians and channelized right turn vehicles at signalized intersections [J]. Journal of Jilin University(Engineering and Technology Edition), 2018, 48(6): 1669-1676.
[2] LIU Xiang-yu, YANG Qing-fang, KUI Hai-lin. Traffic guidance cell division based on random walk algorithm [J]. Journal of Jilin University(Engineering and Technology Edition), 2018, 48(5): 1380-1386.
[3] LIU Zhao-hui, WANG Chao, LYU Wen-hong, GUAN Xin. Identification of data characteristics of vehicle running status parameters by nonlinear dynamic analysis [J]. Journal of Jilin University(Engineering and Technology Edition), 2018, 48(5): 1405-1410.
[4] LUAN Xin, DENG Wei, CHENG Lin, CHEN Xin-yuan. Mixed Logit model for understanding travel mode choice behavior of megalopolitan residents [J]. 吉林大学学报(工学版), 2018, 48(4): 1029-1036.
[5] CHEN Yong-heng, LIU Xin-shan, XIONG Shuai, WANG Kun-wei, SHEN Yao, YANG Shao-hui. Variable speed limit control under snow and ice conditions for urban expressway in junction bottleneck area [J]. 吉林大学学报(工学版), 2018, 48(3): 677-687.
[6] WANG Zhan-zhong, LU Yue, LIU Xiao-feng, ZHAO Li-ying. Improved harmony search algorithm on truck scheduling for cross docking system [J]. 吉林大学学报(工学版), 2018, 48(3): 688-693.
[7] CHEN Song, LI Xian-sheng, REN Yuan-yuan. Adaptive signal control method for intersection with hook-turn buses [J]. 吉林大学学报(工学版), 2018, 48(2): 423-429.
[8] SU Shu-jie, HE Lu. Transient dynamic congestion evacuation model of pedestrian at walk traffic planning crossroads [J]. 吉林大学学报(工学版), 2018, 48(2): 440-447.
[9] WANG Zhan-zhong, ZHAO Li-ying, JIAO Yu-Ling, CAO Ning-bo. Social force model of pedestrian-bike mixed flow at signalized crosswalk [J]. 吉林大学学报(工学版), 2018, 48(1): 89-97.
[10] HOU Xian-yao, CHEN Xue-wu. Use of public transit information market segmentation based onattitudinal factors [J]. 吉林大学学报(工学版), 2018, 48(1): 98-104.
[11] WEI Li-ying, CUI Yu-feng, WEI Jia-rong. Cellular automata model based on local maximum entropy lane-changing rules for electric bicycle flow [J]. 吉林大学学报(工学版), 2017, 47(5): 1436-1445.
[12] YAO Rong-han, ZHANG Xiao-tong, LIAN Lian. Optimization model for controlling reversible approach lanes at signalized intersections [J]. 吉林大学学报(工学版), 2017, 47(4): 1048-1054.
[13] FANG Rui-wei, ZHANG Xie-dong, JIANG Pan. Planning of urban rapid transportation based on SWOT-AHP analysis [J]. 吉林大学学报(工学版), 2017, 47(4): 1055-1060.
[14] LI Ming-da, KUI Hai-lin, MEN Yu-zhuo, BAO Cui-zhu. Aerodynamic drag of heavy duty vehicle with complex underbody structure [J]. 吉林大学学报(工学版), 2017, 47(3): 731-736.
[15] QU Zhao-wei, CAO Ning-bo, CHEN Yong-heng, BAI Qiao-wen, ZHAO Li-ying, LUO Rui-qi. Modeling of pedestrians' crossing position distribution considering violating pedestrians [J]. 吉林大学学报(工学版), 2017, 47(3): 744-750.
Viewed
Full text


Abstract

Cited
  Shared   
  Discussed   
No Suggested Reading articles found!
Copyright © Journal of Jilin University(Engineering and Technology Edition), All Rights Reserved.
Tel: +86-431-85095297　Fax: +86-431-85094074　E-mail: xbgxb@jlu.edu.cn
Powered by Beijing Magtech Co. Ltd