Research on impact of traffic flow in rainy environments

doi:10.16265/j.cnki.issn1003-3033.2023.05.0400

Abstract

Abstract:

In order to reduce the highway accident rate in rainy days and improve the highway traffic safety management level in harsh environment, firstly, this paper used the NaSch model (Nagel-Schreckberg) of cellular automata (CA) to build a traffic simulation environment and studied the speed limit strategy of freeway in rainy days. Secondly, by analyzing the influencing factors of traffic flow in rainy days, the NaSch model considering the drivers' psychological characteristics in rainy days was constructed, and then the road traffic flow model in rainy days was established. Finally, under four different rainfall intensities, the average density, average vehicle spacing and the cumulative queue length were selected as the evaluation indexes of road traffic running level. The changing trend of road traffic running level under different rainfall intensities was studied through simulation experiments, and then the speed limit strategy under different rainfall intensities was determined. The results show that the greater the rainfall intensity, the faster the road adaptability declines and the faster the deterioration of traffic conditions. With the decrease of rainfall intensity, the adaptability of roads to high speed limit is significantly improved, but the adaptability to low speed limit is always in a low state. At the high rainfall intensity level, the road conditions can be divided into suitable speed limit zone and low speed limit zone according to the speed limit value, while at the medium and low rainfall intensity level, the road conditions can be divided into high speed limit zone, suitable speed limit zone and low speed limit zone.

Key words: traffic flow, rainfall intensity, visibility, optimal speed limit, cellular automata (CA)

ZHANG Jun, JIANG Fan, PENG Demeng, KOU Ziqing. Research on impact of traffic flow in rainy environments[J]. China Safety Science Journal, 2023, 33(5): 134-143.

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References 17

[1]	张礼宁. 典型天气条件下山地城市道路异常驾驶行为研究[D]. 重庆: 重庆交通大学, 2021.
	ZHANG Lining. Research on abnormal driving behavior of mountain city road under typical weather conditions[D]. Chongqing: Chongqing Jiaotong University, 2021.
[2]	朱娜. 基于元胞自动机的城市快速路雨天交通流模型[D]. 南京: 东南大学, 2015.
	ZHU Na. Study on traffic flow model of urban expressway under rain weather based on cellular automaton[D]. Nanjing: Southeast University, 2015.
[3]	王震. 雨天环境下高速公路交通流特性分析及预测研究[D]. 北京: 北京交通大学, 2020.
	WANG Zhen. Expressway traffic flow characteristic analysis and prediction in rainy environment[D]. Beijing: Beijing Jiaotong Universit, 2020.
[4]	肖卓. 恶劣天气影响下的高速公路车速管理策略研究[D]. 长沙: 湖南大学, 2013.
	XIAO Zhuo. Research on highway speed management strategy under the influence of bad weather[D]. Changsha: Hunan University, 2013.
[5]	庞明宝, 任泊宁. 高速公路弯道雨天可能交通事故的CA模型仿真[J]. 中国安全科学学报, 2017, 27(7):24-29. doi: 10.16265/j.cnki.issn1003-3033.2017.07.005
	PANG Mingbao, REN Boning. Simulation of possible traffic accident in rainy weather on freeway curve using CA model[J]. China Safety Science Journal, 2017, 27(7):24-29. doi: 10.16265/j.cnki.issn1003-3033.2017.07.005
[6]	张存保, 张培岭, 严新平, 等. 基于元胞传输模型的雨天高速公路可变限速方法[J]. 交通运输系统工程信息, 2014, 14(5):221-226.
	ZHANG Cunbao, ZHANG Peiling, YAN Xinping, et al. Variable speed limit method for rainy expressway based on cellular transmission model[J]. Journal of Transportation Systems Engineering and Information Technology, 2014, 14(5): 221-226.
[7]	张开冉, 邱谦谦, 王若成, 等. 驾驶员雨中面对不同颜色障碍物时制动点选择研究[J]. 中国安全科学学报, 2015, 25(3):90-95.
	ZHANG Kairan, QIU Qianqian, WANG Ruocheng, et al. Research on breaking point selection for driver encountering different color obstacles in the rain[J]. China Safety Science Journal, 2015, 25(3):90-95.
[8]	刘玮蔚, 刘建蓓, 余强, 等. 考虑高速公路运行风险的雨天可变限速方法[J]. 中国公路学报, 2022, 35(9):38-50. doi: 10.19721/j.cnki.1001-7372.2022.09.004
	LIU Weiweil, LIU Jianbei, YU Qiang, et al. Variable speed limit method for rainy weather considering freeway operation risk[J]. China Journal of Highway and Transport, 2022, 35(9):38-50. doi: 10.19721/j.cnki.1001-7372.2022.09.004
[9]	吴中, 吴季恒, 吴琼, 等. 基于结构方程模型的雨天城市公交路段延误影响因素分析[J]. 贵州大学学报:自然科学版, 2020, 37(6):97-103.
	WU Zhong, WU Jiheng, WU Qiong, et al. Analysis of influencing factors of delay in urban public transport section in rainy day based on structural equation model[J]. Journal of Guizhou University:Natural Sciences, 2020, 37(6):97-103.
[10]	殷涛, 贾贤盛. 基于停车视距的高速公路雨天行车安全车速研究[J]. 北方交通, 2009(1):150-152.
	YIN Tao, JIA Xiansheng. Research on driving safe speed at rain on freeway based on stop apparent distance[J]. North Traffic, 2009(1):150-152.
[11]	董斌. 部分滑水条件下高速公路车辆行驶安全性研究[D]. 重庆: 重庆交通大学, 2011.
	DONG Bin. Study on driving safety of freeway vehicles under partial water-skiing conditions[D]. Chongqing: Chongqing Jiaotong University, 2011.
[12]	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. doi: 10.1016/j.aap.2006.06.009
[13]	CARO S, CAVALLO V, MARENDAZ C, et al. Can headway reduction in fog be explained by impaired perception of relative motion?[J]. Human Factors: The Journal of the Human Factors and Ergonomics Society, 2009, 51(3): 378-392. doi: 10.1177/0018720809339621
[14]	凌天清. 恶劣天气影响下的高速公路撤诉管理策略研究[D]. 长沙: 湖南大学, 2013.
	LING Tianqing. Exploration of highway management policies under the influence of bad weather[D]. Changsha: Hunan University, 2013.
[15]	蒋锐, 郭忠印, 李振楠. 恶劣天气条件下车辆换车道的安全模型[J]. 同济大学学报:自然科学版, 2011, 39(4): 529-533.
	JIANG Rui, GUO Zhongyin, LI Zhennan. Lane-changing safety model for deteriorative weather[J]. Journal of Tongji University :Natural Science, 2011, 39 (4): 529-533.
[16]	任福田, 刘小明, 孙立山, 等. 交通工程学[M]. 北京: 人民交通出版社, 2017:31-91.
[17]	肖将, 秦雅琴, 王圆圆, 等. 基于驾驶模拟实验的驾驶员气质与驾驶行为关系研究[J]. 人类工效学, 2014, 20(5): 23-27.
	XIAO Jiang, QIN Yaqin, WANG Yuanyuan, et al. Study on the relationship between driver's temperament and driving behavior based on driving simulation[J]. Chinese Journal of Ergonomics, 2014, 20 (5): 23-27.

类型	R/(mm·min^-1)	q/m	a/m
小雨	0.59	400	175
中雨	0.87	285	125
大雨	1.57	170	75
暴雨	5.72	55	25

指标	R/ (mm·min^-1)	90 km/h	72 km/h	54 km/h	36 km/h	18 km/h
X₁	0.59	31	32	38	39	51
	0.87	35	39	49	48	59
	1.57	46	50	66	63	76
	5.72	87	76	101	93	122
X₂	0.59	37.06	25.76	30.73	30.26	5.94
	0.87	32.83	30.22	24.76	25.08	5.9
	1.57	26.2	24.35	19.27	20.12	5.96
	5.72	15.7	17.23	13.94	14.84	5.95
X₃	0.59	3.15	1.78	2.29	2.62	0.75
	0.87	2.88	1.59	2.17	2.27	0.7
	1.57	3.26	2.11	2.08	2.19	0.7
	5.72	8.9	3.11	2.46	3.57	0.8
X₄	0.59	70.13	59.94	44.10	28.51	16.56
	0.87	71.86	61.24	45.61	29.70	16.56
	1.57	72.50	60.84	46.55	30.42	16.56
	5.72	56.02	60.23	47.20	30.28	16.56
X₅	0.59	85.14	68.51	50.40	33.73	16.99
	0.87	86.51	68.22	50.54	33.16	16.92
	1.57	83.30	67.79	50.33	33.55	16.92
	5.72	65.84	66.82	51.05	33.01	16.96
X₆	0.59	51.77	47.52	36.54	23.08	16.13
	0.87	55.40	51.70	38.09	24.55	16.16
	1.57	56.52	48.74	40.90	26.57	16.16
	5.72	38.52	52.24	41.08	26.42	16.20
X₇	0.59	33.41	20.99	13.86	10.66	0.86
	0.87	31.10	16.52	12.46	8.60	0.76
	1.57	26.78	19.04	9.47	6.98	0.76
	5.72	27.32	14.62	9.97	6.59	0.76
X₈	0.59	5.62	3.38	2.59	1.69	0.11
	0.87	41.22	2.81	2.23	1.26	0.11
	1.57	4.68	2.88	1.62	1.15	0.11
	5.72	5.62	2.41	1.48	1.04	0.11

评价指标	R (mm·min^-1)	90 km/h	72 km/h	54 km/h	36 km/h
Y₁	0.59	-1.943	1.437	0.389	0.118
	0.87	-1.934	-0.315	1.231	1.018
	1.57	-2.092	-0.443	1.488	1.047
	5.72	-0.646	-1.627	1.664	0.610
Y₂	0.59	1.825	0.879	-0.586	-2.118
	0.87	1.829	0.883	-0.610	-2.102
	1.57	1.894	0.756	-0.521	-2.129
	5.72	0.711	1.658	-0.090	-2.279
Y₃	0.59	-1.925	-0.115	0.718	1.322
	0.87	-2.062	-0.374	0.688	1.000
	1.57	-1.811	-0.403	0.906	1.308
	5.72	-2.008	0.078	0.760	1.171
交通运行水平得分	0.59	-1.563	1.071	0.357	0.135
	0.87	-0.831	1.183	0.570	0.078
	1.57	-0.414	0.049	0.510	0.145
	5.72	-0.512	0.198	0.691	0.377