Method for determining range of inner wheel difference of hinged vehicles turning right

doi:10.16265/j.cnki.issn1003-3033.2022.03.014

Abstract

Abstract:

In order to solve traffic safety problem at intersections caused by inner wheel difference of hinged vehicles, a method for determining range of inner wheel difference of the vehicles turning right was proposed, which considered geometric parameters of intersections and vehicle parameters. With vehicles at different model parameters in Jinyuan District and Qingxu County of Taiyuan City as research object, a calculation model was established based on changes of difference of right-turning inner wheels at different types of intersections, and trajectory of front inner wheel of tractors and rear wheel of trailers were generated and the difference range were calculated more accurately. Then, Python software was used to build a program for visualization of the range, and with coordinate values of front inner wheels of tractors and rear wheels of trailers at the same time point as evaluation index, driving trajectory data were extracted by utilizing Tracker software so as to verify the model. The results show that the maximum relative error between predicted value of the proposed method and the actual one is 8.32%, and average relative error is 5.12%, indicating that the method can effectively determine range of inner wheel difference of hinged vehicles turning right.

Key words: hinged vehicle, right-turning inner wheel difference, range, intersection, driving trajectory

LI Yingshuai, YAN Qiruo, ZHEN Yunzhu, WANG Weijie. Method for determining range of inner wheel difference of hinged vehicles turning right[J]. China Safety Science Journal, 2022, 32(3): 103-108.

Figures/Tables 9

Tab.1

Fig.1

Fig.2

Fig.3

Fig.4

Fig.5

Tab.2

Fig.6

Fig.7

References 11

[1]	潘兵宏, 胡炜, 任卉, 等. 基于TruckSim仿真下弯道货车侧滑速度模型研究[J]. 重庆交通大学学报:自然科学版, 2021, 40(5): 38-45.
	PAN Binghong, HU Wei, REN Hui, et al. Truck side-slip velocity model in curve road section based on TruckSim simulation[J]. Journal of Chongqing Jiaotong University :Natural Science, 2021, 40(5): 38-45.
[2]	李艳春, 于海辰. 大货车驾驶员交通心理与交通安全的研究[J]. 中国安全科学学报, 2006, 16(10): 15-20.
	LI Yanchun, YU Haichen. Study on traffic psychology of truck driver and traffic safety[J]. China Safety Science Journal, 2006, 16(10): 15-20.
[3]	吴佳林, 孔军. 汽车后视镜盲区及预测方法[J]. 武汉理工大学学报:信息与管理工程版, 2010, 32(6): 958-961.
	WU Jialin, KONG Jun. Blind zone of vehicle rearview mirrors and its forecast methods[J]. Journal of Wuhan University of Technology :Information & Management Engineering, 2010, 32(6): 958-961.
[4]	PETR P, JEROME D, KELLY P, et al. Accidents between freight vehicles and bicycles, with a focus on urban areas[J]. Transportation Research Procedia, 2017, 25: 999-1007. doi: 10.1016/j.trpro.2017.05.474
[5]	PETR P, RAY P, KELLY P. Conflicts between bikes and trucks in urban areas:a survey of Norwegian cyclists[J]. Case Studies on Transport Policy, 2018, 6(1): 147-155. doi: 10.1016/j.cstp.2017.11.010
[6]	PETR P, KELLY P. Observations of truck-bicycle encounters: a case study of conflicts and behaviour in Trondheim, Norway[J]. Transportation Research Part F: Traffic Psychology and Behaviour, 2019, 60: 700-711. doi: 10.1016/j.trf.2018.11.018
[7]	张正轩. 重卡驾驶员视野盲区监控系统研究[D]. 西安: 长安大学, 2017.
	ZHANG Zhengxuan. Research on the driver's blind spot monitoring system for heavy-duty truck[D]. Xi'an: Chang'an University, 2017.
[8]	王清洲, 徐令选, 范鑫, 等. 货车右转视线盲区形成机制及交叉口安全性研究[J]. 中国安全科学学报, 2017, 27(5): 99-104. doi: 10.16265/j.cnki.issn1003-3033.2017.05.018
	WANG Qingzhou, XU Lingxuan, FAN Xin, et al. Study on formation mechanism of blind spot for truck turning right and safety of intersection[J]. Chinese Safety Science Journal, 2017, 27(5): 99-104.
[9]	杨云, 黄鹏飞, 周懿文, 等. 基于TruckSim半挂牵引车内轮差危险区模型研究[J]. 自动化与仪器仪表, 2019(10): 106-109.
	YANG Yun, HUANG Pengfei, ZHOU Yiwen, et al. Semi-trailer inner wheel difference zone model based on trucksim[J]. Automation and Instrumentation, 2019(10): 106-109.
[10]	张卫华, 邱猛, 张祥松, 等. 半挂车转弯盲区实时监测预警与安全保障[J]. 中国安全科学学报, 2020, 30(8): 57-62. doi: 10.16265/j.cnki.issn1003-3033.2020.08.009
	ZHANG Weihua, QIU Meng, ZHANG Xiangsong, et al. Real-time monitoring,warning and safety guarantee for blind zones during semi-trailer turning[J]. China Safety Science Journal, 2020, 30(8): 57-62. doi: 10.16265/j.cnki.issn1003-3033.2020.08.009
[11]	李英帅, 闫琦若, 赵聪. 基于公交车右转内轮差效应的范围研究[J]. 重庆交通大学学报:自然科学版, 2021, 40(9): 43-48.
	LI Yingshuai, YAN Qiruo, ZHAO Cong, et al. Range of inner wheel deviation effect in right turn of buses[J]. Journal of Chongqing Jiaotong University :Natural Science, 2021, 40(9): 43-48.

参数名称	晋源区	清徐县
牵引车车长/m	6.675	6.945
牵引车轴距/m	3.15+1.35	3.30+1.35
挂车轴距/m	5.38+1.31+1.31	5.60+1.31+1.31
牵引车前轮距/mm	2 020	2 020
挂车后轮距/mm	1 847	1 830

参数名称	参数数值
交叉口宽/m	14
交叉口长/m	18
最大转弯角/(°)	30
牵引车轴距/m	4.5
挂车轴距/m	8.08
牵引销距/m	1.0
牵引车前轮距/m	2.02
挂车后轮距/m	1.847

[1]	CAO Yuan, YU Xiao, SUN Yongkui. Research on safety headway control of GTS based on intersection condition evaluation [J]. China Safety Science Journal, 2022, 32(6): 144-150.
[2]	ZHAO Hongcheng, TIAN Xiuxia, YANG Zesen, BAI Wanrong. Safety helmet wearing detection algorithm in complex construction environment based on improved YOLOv3 [J]. China Safety Science Journal, 2022, 32(5): 194-200.
[3]	ZHONG Kaiqi, XIAO Yang, LU Xing,DENG Jun. Orthogonal experiment design and range analysis of TPCT extracting thermal energy from coal fire [J]. China Safety Science Journal, 2021, 31(9): 135-141.
[4]	ZHANG Chong, ZHAO Tingsheng, JIANG Ling, WANG Xin, TANG Jingjing. Selection of safety monitoring parameters and layout ofmeasuring points for tower crane [J]. China Safety Science Journal, 2021, 31(8): 112-118.
[5]	WANG Jiawen, YOU Quan, ZHOU Xizhao. Review on dilemma zone of signal-controlled intersections on urban roads [J]. China Safety Science Journal, 2021, 31(8): 125-131.
[6]	WU Chengcheng, CHEN Dawei. Spatial prediction model for risk points of non-motor vehicle conflict in intersections [J]. China Safety Science Journal, 2021, 31(8): 165-171.
[7]	JIA Jinzhang, LI Bin, WANG Dongming. Study on influencing factors of cracking radius range caused by liquid CO₂ phase transition in coal seams [J]. China Safety Science Journal, 2021, 31(4): 57-63.
[8]	QIAN Yubin, ZHU Lin, WANG Qingping, XIAO Lingyun, GAO Zhijun. Study on parameter optimization for simulation system of rear side airbag [J]. China Safety Science Journal, 2021, 31(2): 48-54.
[9]	FANG Yong, XIA Chengyu, HE Yuhang, WANG Xudong, CHEN Kun, HUANG Zhuang. Research on safety range of risers with volume defects [J]. China Safety Science Journal, 2020, 30(7): 101-106.
[10]	ZHAO Dan, MA Sheqiang, ZHANG Yumeng, HAN Fengchun. Correlation and risk factors analysis of traffic crash at intersections on rural highways [J]. China Safety Science Journal, 2020, 30(7): 146-151.
[11]	ZHANG Ruiming, LIU Zhongqi, ZHOU Qianxiang, SHEN Yuhong, LI Chenming. Comfortableness evaluation of range of motion of human upper limb joint [J]. China Safety Science Journal, 2018, 28(8): 75-80.
[12]	LUO Richeng, FANG Mengge, LI Zhiqian, LI Wen, ZOU Dehua, LI Zhe. Sensor based information integrated safety protection system for live working [J]. China Safety Science Journal, 2018, 28(10): 73-78.
[13]	ZHENG Xiazhong, CHEN Yan, JIN Lianghai, ZHANG Ming, XIANG Leilei. Evacuation crowd diversion model for road intersection [J]. China Safety Science Journal, 2018, 28(10): 176-182.
[14]	WANG Qingzhou, XU Lingxuan, FAN Xin, GUO Kai. Study on formation mechanism of blind spot for truck turning right and safety of intersection [J]. China Safety Science Journal, 2017, 27(5): 99-104.
[15]	. Characteristics and Mechanism of Fatal Pedestrian Crashes at Unsignalized Highway Intersections [J]. China Safety Science Journal, 2013, 23(8): 96-.