公路交叉口照明和限速对视觉搜索能力的影响

doi:10.13229/j.cnki.jdxbgxb.20211145

Abstract

Abstract:

To improve the nighttime safety level of the unsignalized highway intersections that near villages， and reduce the likelihood of crashes between vehicles， bicycles and pedestrians， we used the attention distribution theory and combined with Logistics regression to construct the quantitative model of visual search ability. We selected the pixel brightness of drivers' visual field pictures， gaze area， one-time Markov stationary distribution and cumulative fixation time percentage as the attention distribution indicators. A simulation experiment scenario was built based on simulated driver， and the eye movement data of drivers under six speeds and four lighting schemes were collected to verify the model. The results show that the overall correct percentage of classification of the model is 93.45%. The maximum speed limit of highway intersections near villages should be set at 50 km/h， and the average road surface illuminance should not be less than 10 lx.

Key words: engineering of communication and transportation system, visual perception, attention distribution theory, ambient lighting, maximum speed limit at night, visual search ability

CLC Number:

U491.25

Hong-tao LI,Lin-hong WANG,Jun-da LI. Influence of lighting and speed limit on visual search ability at highway intersections[J].Journal of Jilin University(Engineering and Technology Edition), 2023, 53(8): 2287-2297.

Figures/Tables 17

Fig.1

Fig.2

Fig.3

Table 1

Table 2

Fig.4

Fig.5

Fig.6

Table 3

Fig.7

Fig.8

Fig.9

Table 4

Table 5

Table 6

Table 7

Table 8

References 23

1	Monsere C M, Fischer E L. Safety effects of reducing freeway illumination for energy conservation[J]. Accident Analysis and Prevention, 2008, 40(5): 1773-1780.
2	Goswamy A, Hallmark S, Litteral T, et al. Safety evaluation of destination lighting treatment at stop controlled cross-intersections[J]. Transportation Research Record, 2018, 2672(16): 113-121.
3	Arash M R, Bismark R D K A, Yongdoo L. Statistical modeling of total crash frequency at highway intersections[J]. Journal of Traffic and Transportation Engineering (English Edition), 2016, 3(2): 166-171.
4	Bullough J D, Donnell E T, Rea M S. To illuminate or not to illuminate: roadway lighting as it affects traffic safety at intersections[J]. Accident Analysis and Prevention, 2013, 53: 65-77.
5	Hu W. Raising the speed limit from 75 to 80 mph on Utah rural interstates: effects on vehicle speeds and speed variance[J]. Journal of Safety Research, 2017, 61: 83-92.
6	Himes S, Gross F, Nichols M, et al. Safety evaluation of change in posted speed limit from 65 to 70 mph on rural Virginia interstate system[J]. Transportation Research Record, 2018, 2672(38): 35-45.
7	Ardakani H R, Azaraz S. Rural speed limit selection concerning the crash severity reduction: ANN method[C]∥5th International Conference on Transportation Information and Safety, Liverpool, UK, 2019: 1056-1061.
8	Huang Y, Fang D, Tan F, et al. Study on the speed limit at night in expressway maintenance area[C]∥IOP Conference Series: Earth and Environmental Science, Singapore, 2020: 012097.
9	Sakhare R S, Desai J C, Mathew J K, et al. Evaluation of the impact of presence lighting and digital speed limit trailers on interstate speeds in Indiana work zones[J]. Journal of Transportation Technologies, 2021, 11(2): 157-167.
10	Jgerbrand A K, Sjbergh J. Effects of weather conditions, light conditions, and road lighting on vehicle speed[J]. SpringerPlus, 2016, 5(1): 27186469.
11	李安祺, 唐阳山, 陈忠炜.夜间驾驶员行车安全影响因素研究[J].汽车实用技术,2019(14):211-212.
	Li An-qi, Tang Yang-shan, Chen Zhong-wei.Study on influencing factors of driver's driving safety at night[J]. Automobile Applied Technology, 2019(14): 211-212.
12	程国柱, 程瑞, 薛长龙, 等. 高速公路改扩建的渐变安全限速设置方法[J]. 哈尔滨工业大学学报, 2020, 52(9): 185-192.
	Cheng Guo-zhu, Cheng Rui, Xue Chang-long, et al.Setting of gradient speed limit for safety in freeway reconstruction and extension[J]. Journal of Harbin Institute of Technology, 2020, 52(9): 185-192.
13	Cheng G, Cheng R. Optimizing speed limits upstream of freeway reconstruction and expansion work zones based on driver characteristics[J]. Journal of Transportation Engineering Part A Systems, 2020, 146(7): 04020066.
14	薛长龙, 刘兴旺, 程国柱, 等. 基于驾驶人特性的高速公路改扩建工作区上游限速值研究[J]. 石家庄铁道大学学报: 自然科学版, 2020, 33(3): 45-51.
	Xue Chang-long, Liu Xing-wang, Cheng Guo-zhu, et al. Speed limit value at the upstream of highway reconstruction and expansion work zones based on driver characteristics[J]. Journal of Shijiazhuang Tiedao University (Natural Science Edition), 2020, 33(3): 45-51.
15	Hu H, Cheng M, Gao F, et al. Driver's preview modeling based on visual characteristics through actual vehicle tests[J]. Sensors, 2020, 20(21): 20216237.
16	Hu H Y, Liu J R, Gao Z H, et al. Driver identification using 1D convolutional neural networks with vehicular CAN signals[J]. IET Intelligent Transport System, 2020,14(13): 1799-1809.
17	Han X, Shao Y, Yang S, et al. Entropy-based effect evaluation of delineators in tunnels on drivers' gaze behavior[J]. Entropy, 2020, 22(1): 22010113.
18	Wertheim T, Dunsky I L. Peripheral visual acuity[J]. Optometry and Vision Science, 1980, 57(12): 915-924.
19	Yuval-Greenberg S, Merriam E P, Heeger D J. Spontaneous microsaccades reflect shifts in covert attention[J]. Journal of Neuroscience, 2014, 34(41): 13693-13700.
20	钟泽滨. 一种用于车道线识别的图像灰度化方法[J].同济大学学报: 自然科学版, 2019, 47(): 178-182.
	Zhong Ze-bin. An image graying method for lane line detection[J]. Journal of Tongji University (Natural Science), 2019,47(Sup.1): 178-182.
21	张文会,秦佳琪,李洪涛,等.考虑拥挤度的常规公交与地铁出行方式选择模型[J].吉林大学学报: 工学版,2021,51(1):200-205.
	Zhang Wen-hui, Qin Jia-qi, Li Hong-tao, et al. Travel choice model between bus transit and subway considering crowding degree[J]. Journal of Jilin University (Engineering and Technology Edition), 2021,51(1): 200-205.
22	王海玮,温惠英,刘敏.夜间环境驾驶员精神负荷的生理特性评估与实验[J].吉林大学学报: 工学版, 2017,47(2): 420-428.
	Wang Hai-wei, Wen Hui-ying, Liu Min. Experimental evaluation of nighttime driver's physiological characteristics in driving simulator[J]. Journal of Jilin University (Engineering and Technology Edition), 2017,47(2): 420-428.
23	. 城市道路照明设计标准 [S].

Related Articles 15

[1]	Wei-tiao WU,Kun ZENG,Wei ZHOU,Peng LI,Wen-zhou JIN. Deep learning method for bus passenger flow prediction based on multi-source data and surrogate-based optimization [J]. Journal of Jilin University(Engineering and Technology Edition), 2023, 53(7): 2001-2015.
[2]	Zhen-liang LIU,Cun-bao ZHAO,Yun-peng WU,Mi-na MA,Long-shuang MA. Life⁃cycle seismic resilience assessment of highway bridge networks using data⁃driven method [J]. Journal of Jilin University(Engineering and Technology Edition), 2023, 53(6): 1695-1701.
[3]	Hong-fei JIA,Ying-jun XU,Li-li YANG,Nan WANG. League member selection and benefit distribution of commercial vehicles multi⁃modal transportation [J]. Journal of Jilin University(Engineering and Technology Edition), 2023, 53(4): 1060-1069.
[4]	Chao SUN,Hao-wei YIN,Wen-yun TANG,Zhao-ming CHU. Sensor deployment strategy and expansion inference of mobile phone data for traffic demand estimation [J]. Journal of Jilin University(Engineering and Technology Edition), 2023, 53(4): 1070-1077.
[5]	Hui-qiu LU,Feng ZHAO,Bo XIE,Yan-tao TIAN. Driver's lane change intention recognition in snow and ice environment based on neural network [J]. Journal of Jilin University(Engineering and Technology Edition), 2023, 53(1): 273-284.
[6]	Wen-bo HUANG,Yan-yan CHEN,Shu-shan CHAI. Decision⁃making behavior of pedestrians in cold competition area under the intervention of mobile information [J]. Journal of Jilin University(Engineering and Technology Edition), 2023, 53(1): 132-140.
[7]	Xian-min SONG,Shu-tian YANG,Ming-xin LIU,Zhi-hui LI. Fluctuation characteristics and prediction method of bus travel time between stations [J]. Journal of Jilin University(Engineering and Technology Edition), 2022, 52(8): 1792-1799.
[8]	Zhi ZHENG,Bo GENG,Fu-min WANG,Jun-hong DONG,Si-si WEI. Improvement of protective ability for existing low⁃grade concrete guardrail [J]. Journal of Jilin University(Engineering and Technology Edition), 2022, 52(6): 1362-1374.
[9]	Wen-jing WU,Yong-bin ZHAN,Li-li YANG,Run-chao CHEN. Coordinated control method of variable speed limit in on⁃ramp area considering safety distance [J]. Journal of Jilin University(Engineering and Technology Edition), 2022, 52(6): 1315-1323.
[10]	Hong-fei JIA,Zi-han SHAO,Li-li YANG. Ride⁃sharing matching model and algorithm of online car⁃hailing under condition of uncertain destination [J]. Journal of Jilin University(Engineering and Technology Edition), 2022, 52(3): 564-571.
[11]	Xing-hua LI,Fei-yu FENG,Cheng CHENG,Wei WANG,Peng-cheng TANG. Choice preference analysis and modeling of ridesplitting service [J]. Journal of Jilin University(Engineering and Technology Edition), 2022, 52(3): 578-584.
[12]	Tian-jun FENG,Xue-lu SUN,Jia-sheng HUANG,Xiu-juan TIAN,Xian-min SONG. Two-phase signal intersection delay based on three crossing modes [J]. Journal of Jilin University(Engineering and Technology Edition), 2022, 52(3): 550-556.
[13]	Xian-tong LI,Wei QUAN,Hua WANG,Peng-cheng SUN,Peng-jin AN,Yong-xing MAN. Route travel time prediction on deep learning model through spatiotemporal features [J]. Journal of Jilin University(Engineering and Technology Edition), 2022, 52(3): 557-563.
[14]	Yi-ran WANG,Jing-xu CHEN,Yue-ping WANG,Jin-biao HUO,Zhi-yuan LIU. Instant demand⁃responsive scheme for customized bus considering service fairness [J]. Journal of Jilin University(Engineering and Technology Edition), 2022, 52(11): 2574-2581.
[15]	Yan-feng JIA,Da-yi QU,Lu LIN,Rong-han YAO,Xiao-long MA. Coordinated speed control of connected mixed traffic flow based on trajectory [J]. Journal of Jilin University(Engineering and Technology Edition), 2021, 51(6): 2051-2060.

Metrics

Viewed

Full text

Abstract

Cited

Shared

Discussed

Comments

Recommended 0

No Suggested Reading articles found!

车速/（km·h^-1）	自行车触发距离/m	行人触发距离/m
80	118	448
70	100	386
60	88	333
50	78	271
40	62	223
30	48	166

突发事件类型	检验对象	组自由度	统计量F	显著性p
自行车	照明	3	0.409	0.747
	速度	5	77.544	0.000
	照明-速度	15	0.333	0.992
行人	照明	3	3.861	0.010
	速度	5	75.861	0.000
	照明-速度	15	0.338	0.991

突发事件类型	检验对象	组自由度	统计量F	显著性p
自行车	照明	3	0.669	0.571
	速度	5	4.717	0.000
	照明-速度	15	0.832	0.641
行人	照明	3	10.451	0.000
	速度	5	23.802	0.000
	照明-速度	15	0.990	0.465

兴趣区域		最小值/%	最大值/%	均值/%	合计/%
道路左侧	外侧	2.17	20.34	6.71	9.28
道路左侧	内侧	0	8.02	2.57	9.28
道路中央	远方	9.34	55.31	31.71	65.35
道路中央	前方	15.22	50.28	33.64	65.35
道路右侧	内侧	0	14.17	4.29	19.65
道路右侧	外侧	7.19	34.49	15.36	19.65
仪表盘		0	12.52	5.71	5.71

兴趣区域		最小值/%	最大值/%	均值/%	合计/%
道路左侧	外侧	1.15	12.71	5.73	8.73
道路左侧	内侧	0	8.59	3.00	8.73
道路中央	远方	19.62	62.13	43.40	79.60
道路中央	前方	22.37	66.84	36.2	79.60
道路右侧	内侧	0	5.22	2.13	7.33
道路右侧	外侧	2.18	11.78	5.20	7.33
仪表盘		0	15.91	4.27	4.27

Influence of lighting and speed limit on visual search ability at highway intersections

RICH HTML

PDF (PC)