Journal of South China University of Technology(Natural Science Edition) ›› 2024, Vol. 52 ›› Issue (4): 114-125.doi: 10.12141/j.issn.1000-565X.230096
• Traffic Safety • Previous Articles Next Articles
BIAN Yang ZHANG Yu ZHAO Xiaohua ZHAO Xuena LI Xuewei
Received:
2023-03-10
Online:
2024-04-25
Published:
2023-06-19
Contact:
赵晓华(1971-),女,博士,教授,主要从事驾驶行为及智能交通研究。
E-mail:zhaoxiaohua@bjut.edu.cn
About author:
边扬(1980-),女,博士,副教授,主要从事交通规划、交通行为研究。E-mail:bianyang@bjut.edu.cn
Supported by:
CLC Number:
BIAN Yang, ZHANG Yu, ZHAO Xiaohua, et al. Effect of Connected HUD Warning System on Driving Behavior for Pedestrian Crossing Events[J]. Journal of South China University of Technology(Natural Science Edition), 2024, 52(4): 114-125.
Table 1
Index system"
维度 | 指标 | 含义 |
---|---|---|
安全水平 | db/m | 从预警点到首次踩下制动踏板,主车所行驶的距离,称为首次制动距离,db越小,表明对危险越早地做出反应 |
dc/m | 当行人开始移动并离开主车所在车道时,主车与行人之间的最小碰撞距离,dc越大,表明避险完成得越早 | |
恢复水平 | t/s | 从最小速度点到稳态开始点所经历的时间,称为恢复稳定时间,t越短,表明恢复速度越快 |
Δv/(km·h-1) | 最小速度与稳态速度之间的差值,称为速度恢复量,Δv越大,表明恢复能力越强 | |
稳定水平 | a1/(m·s-2) | 从预警点到行人位置范围内的最大减速度(取绝对值),a1越小,表明减速过程越缓和 |
a2/(m·s-2) | 从最小速度点到稳态开始点范围内的最大加速度,a2越小,表明加速过程越平稳 |
Table 2
Descriptive statistic results of indicators"
实验场景 | db/m | dc/m | t/s | Δv/(km·h-1) | a1/(m·s-2) | a2/(m·s-2) |
---|---|---|---|---|---|---|
晴天_Baseline | 64.50±10.22 | 10.75±6.97 | 12.70±3.95 | 50.03±7.43 | 8.30±1.94 | 5.84±0.77 |
晴天_HDD | 53.16±12.26 | 15.02±5.25 | 12.86±4.34 | 44.49±11.32 | 6.94±2.34 | 5.80±0.84 |
晴天_HUD | 27.33±7.98 | 20.96±6.58 | 11.84±4.50 | 42.73±8.62 | 5.03±1.23 | 5.45±0.93 |
雾天_Baseline | 68.22±10.07 | 10.63±6.42 | 14.33±4.85 | 46.04±10.94 | 7.77±2.66 | 5.85±0.72 |
雾天_HDD | 47.18±12.73 | 16.36±5.38 | 10.78±3.56 | 43.71±8.30 | 6.59±1.88 | 5.92±0.77 |
雾天_HUD | 23.96±5.72 | 21.65±5.91 | 11.05±3.83 | 39.98±7.30 | 4.61±1.12 | 5.26±1.30 |
Table 3
Calculation results of indicators significance and effect size"
指标 | 因素 | F | P | |
---|---|---|---|---|
db | 预警系统 | 284.295 | 0.000*** | 0.896 |
天气 | 2.970 | 0.094* | 0.083 | |
天气×预警系统 | 5.293 | 0.007** | 0.138 | |
dc | 预警系统 | 58.698 | 0.000*** | 0.640 |
天气 | 0.907 | 0.348 | 0.027 | |
天气×预警系统 | 0.376 | 0.688 | 0.011 | |
t | 预警系统 | 4.509 | 0.015** | 0.120 |
天气 | 0.675 | 0.417 | 0.020 | |
天气×预警系统 | 3.393 | 0.040** | 0.093 | |
Δv | 预警系统 | 9.216 | 0.001** | 0.218 |
天气 | 4.880 | 0.034** | 0.129 | |
天气×预警系统 | 0.792 | 0.457 | 0.023 | |
a1 | 预警系统 | 62.221 | 0.000*** | 0.653 |
天气 | 2.927 | 0.097* | 0.081 | |
天气×预警系统 | 0.059 | 0.943 | 0.002 | |
a2 | 预警系统 | 8.365 | 0.001** | 0.202 |
天气 | 0.044 | 0.834 | 0.001 | |
天气×预警系统 | 0.674 | 0.513 | 0.020 |
1 | ALI Y, BLIEMER M C J, ZHENG Z,et al .Cooperate or not?Exploring drivers’ interactions and response times to a lane-changing request in a connected environment[J].Transportation Research Part C:Emerging Technologies,2020,120:102816/1-23. |
2 | 常鑫,李海舰,荣建,等 .混有网联车队的高速公路通行能力分析[J].华南理工大学学报(自然科学版),2020,48(4):142-148. |
CHANG Xin, LI Haijian, RONG Jian,et al .Analysis of capacity for mixed traffic flow with connected vehicle platoon on freeway[J].Journal of South China University of Technology (Natural Science Edition),2020,48(4):142-148. | |
3 | WINKLER S, KAZAZI J, VOLLRATH M .Distractive or supportive-how warnings in the head-up display affect drivers’ gaze and driving behavior[C]∥ Proceedings of 2015 IEEE the 18th International Conference on Intelligent Transportation Systems.Gran Canaria:IEEE,2015:1035-1040. |
4 | WERNEKE J, KLEEN A, VOLLRATH M .Perfect timing:urgency,not driving situations,influence the best timing to activate warnings[J].Human Factors,2014,56(2):249-259. |
5 | HORREY W J, WICKENS C D .In-vehicle glance duration:distributions,tails,and model of crash risk[J].Transportation Research Record,2007,2018(1):22-28. |
6 | JAKUS G, DICKE C, SODNIK J .A user study of auditory,head-up and multi-modal displays in vehicles[J].Applied Ergonomics,2015,46:184-192. |
7 | LIU Y C, WEN M H .Comparison of head-up display (HUD) vs.head-down display (HDD):driving performance of commercial vehicle operators in Taiwan[J].International Journal of Human Computer Studies,2004,61(5):679-697. |
8 | WU Y, ABDEL-ATY M, CAI Q,et al .Developing an algorithm to assess the rear-end collision risk under fog conditions using real-time data[J].Transportation Research Part C:Emerging Technologies,2018,87:11-25. |
9 | WINKLER S, KAZAZI J, VOLLRATH M .How to warn drivers in various safety-critical situations:different strategies,different reactions[J].Accident Analysis and Prevention,2018,117:410-426. |
10 | NAUJOKS F, NEUKUM A .Specificity and timing of advisory warnings based on cooperative perception[C]∥ Proceedings of Mensch & Computer 2014-Workshopband.Munich:Oldenburg Science Press,2014:229-238. |
11 | 国家统计局 .中国统计年鉴2020[M].北京:中国统计出版社,2020. |
12 | Istituto Nazionale di Statistica .ACI-ISTAT incidenti stradali 2017[EB/OL].(2019-09-17)[2023-02-10].. |
13 | ALI Y, SHARMA A, HAQUE M M,et al .The impact of the connected environment on driving behavior and safety:a driving simulator study[J].Accident Analysis and Prevention,2020,144:105643/1-17. |
14 | 史金磊 .基于用户调研和模拟驾驶的平视显示预警系统有效性研究[D].杭州:浙江理工大学,2020. |
15 | WINKLER S, KAZAZI J, VOLLRATH M .Practice makes better:learning effects of driving with a multi-stage collision warning[J].Accident Analysis and Prevention,2018,117:398-409. |
16 | HAQUE M M, OVIEDO-TRESPALACIOS O, SHARMA A,et al .Examining the driver-pedestrian interaction at pedestrian crossings in the connected environment:a hazard-based duration modelling approach[J].Transportation Research Part A:Policy and Practice,2021,150:33-48. |
17 | YUE L, ABDEL-ATY M, WU Y,et al .Influence of pedestrian-to-vehicle technology on drivers’ response and safety benefits considering pre-crash conditions[J].Transportation Research Part F:Traffic Psychology and Behaviour,2020,73:50-65. |
18 | SHARMA A, ZHENG Z, KIM J,et al .Is an informed driver a better decision maker?A grouped random parameters with heterogeneity-in-means approach to investigate the impact of the connected environment on driving behaviour in safety-critical situations[J].Analytic Methods in Accident Research,2020,27:100127/1-24. |
19 | WU Y, ABDEL-ATY M, PARK J,et al .Effects of crash warning systems on rear-end crash avoidance behavior under fog conditions[J].Transportation Research Part C:Emerging Technologies,2018,95:481-492. |
20 | MUELLER A S, TRICK L M .Driving in fog:the effects of driving experience and visibility on speed compensation and hazard avoidance[J].Accident Analysis and Prevention,2012,48:472-479. |
21 | GAO K, TU H, SUN L,et al .Impacts of reduced visibility under hazy weather condition on collision risk and car-following behavior:implications for traffic control and management[J].International Journal of Sustainable Transportation,2020,14(8):635-642. |
22 | ZHANG Y, YAN X, WU J,et al .Effect of warning system on interactive driving behavior at unsignalized intersection under fog conditions:a study based on multiuser driving simulation[J].Journal of Advanced Transportation,2020,2020:8871875/1-16. |
23 | AHMED M M, YANG G, GAWEESH S .Assessment of drivers’ perceptions of connected vehicle-human machine interface for driving under adverse weather conditions:preliminary findings from Wyoming[J].Frontiers in Psychology,2020,11:1889/1-12. |
24 | STRAYER D L, COOPER J M, GOETHE R M,et al .Assessing the visual and cognitive demands of in-vehicle information systems[J].Cognitive Research:Principles and Implications,2019,4(1):1-22. |
25 | 李雪玮,赵晓华,李振龙,等 .基于雾天高速车路协同模拟驾驶的驾驶人视觉信息加工模式[J].华南理工大学学报(自然科学版),2021,49(3):131-138,148. |
LI Xuewei, ZHAO Xiaohua, LI Zhenlong,et al.Driver’s visual information processing mode in foggy highway cooperative vehicle-infrastructure system environment based on simulated driving[J].Journal of South China University of Technology (Natural Science Edition),2021,49(3):131-138,148. | |
26 | 公安部交通管理局 .2020年全国新注册登记机动车3 328万辆新能源汽车达492万辆[EB/OL].(2021-01-07)[2023-02-10].. |
27 | CHOW S C, SHAO J, WANG H,et al .Sample size calculations in clinical research[M].3ed.State of Florida:Chapman and Hall/ CRC Press,2017. |
28 | 胡寿松 .自动控制原理[M].北京:科学出版社,2001. |
29 | 陈晨 .城市道路驾驶员生态驾驶行为评估方法研究[D].北京:北京工业大学,2016. |
30 | FERGUSON C J .An effect size primer:a guide for clinicians and researchers[J].Professional Psychology Research and Practice,2009,40(5):532-538. |
31 | LARGE D R, KIM H, MERENDA C,et al .Investigating the effect of urgency and modality of pedestrian alert warnings on driver acceptance and performance[J].Transportation Research Part F:Traffic Psychology and Behaviour,2019,60:11-24. |
32 | WU Y, ABDEL-ATY M, PARK J,et al .Effects of real-time warning systems on driving under fog conditions using an empirically supported speed choice modeling framework[J].Transportation Research Part C:Emerging Technologies,2018,86:97-110. |
[1] | ZHAO Xiaohua, DONG Wenhui, LI Jia, et al. Influence Characteristics and Action Mechanism of Tunnel Traffic Signs Based on Driving Behavior [J]. Journal of South China University of Technology(Natural Science Edition), 2023, 51(4): 88-100. |
[2] | YANG Liping, BIAN Yang, ZHAO Xiaohua, et al. Effects of Navigation Broadcast Wording Complexity on Driving Behaviors [J]. Journal of South China University of Technology (Natural Science Edition), 2021, 49(3): 139-148. |
[3] | BIAN Yang, YU Jie ZHAO, Xiaohua, et al. Research on the Comprehensive Influence of Navigation BroadcastWording on Driving Behavior [J]. Journal of South China University of Technology (Natural Science Edition), 2020, 48(11): 30-37,54. |
Viewed | ||||||
Full text |
|
|||||
Abstract |
|
|||||