Citation: | XU Tian, GAO Jianqiang, LIU Jianbei, ZHAO Chaojie, LIU Guotu. A Field Study for Evaluating the Effectiveness of Vehicle Collision Warning Systems[J]. Journal of Transport Information and Safety, 2022, 40(1): 153-161. doi: 10.3963/j.jssn.1674-4861.2022.01.018 |
Advanced driver assistance systems have been widely installed on various types of vehicles. To study the effectiveness of the collision warning systems, a field test was conducted on real-world expressways. A group of 15 vehicles underwent a comparative test equipped with or without the system. During the testing, a method for evaluating the effectiveness of the early warning system has been proposed from the following three aspects: interactions between vehicles, safety risk, and acceptance of the driver. Study results show that, at the microscopic level, under the scenarios that the vehicles are equipped with the system, when accidents take place during car-following and lane-changing for overtaking action, the average time headway (THW) observed increases by 0.37 s and 0.34 s, respectively. It is also found that using the system has a significant impact on the THW (p < 0.05). In contrast, at the mesoscopic level, the frequency of the above two types of accidents drops by 16.0% and 23.7%, respectively, as a result of early warning provided by the system. The dispersion degree of the vehicle speed in the group is also found to decrease significantly. The questionnaire survey shows that 86.7% of drivers will take safety measures after receiving the warningfrom the system, and 73.3% of drivers agree that the early warning system improves road safety.
[1] |
张旭欣, 王雪松, 马勇, 等. 驾驶行为与驾驶风险国际研究进展[J]. 中国公路学报, 2020, 33(6): 1-17. doi: 10.3969/j.issn.1001-7372.2020.06.001
ZHANG X X, WANG X S, MA Y, et al. International research progress on driving behavior and driving risks[J]. China Journal of Highway and Transport, 2020, 33(6): 1-17. (in Chinese) doi: 10.3969/j.issn.1001-7372.2020.06.001
|
[2] |
HANEEN F, KOUTSOPOULOS H N. Do cooperative systems make drivers' car-following behavior safer?[J]. Transportation Research Part C: Emerging Technologies, 2014, 41 (1): 61-72. http://www.sciencedirect.com/science/article/pii/s0968090x14000291
|
[3] |
MOHEBBI R, GRAY R, TAN H Z. Driver reaction time to tactile and auditory rear-end collision warnings while talking on a cell phone[J]. Human Factors, 2009, 51(2): 102-110. http://hfs.sagepub.com/content/51/1/102.full.pdf?cited-by=yes&legid=sphfs;51/1/102
|
[4] |
REINMUELLER K, STEINHAUSER M. Adaptive forward collision warning: the impact of imperfect technology on behavioral adaptation, warning effectiveness and acceptance[J]. Accident Analysis & Prevention, 2019, 128(7): 217-229. http://www.sciencedirect.com/science/article/pii/S0001457518311655
|
[5] |
ADELL E, VARHEL A, FONTANA M D. The effects of a driver assistance system for safe speed and safe distance: A real-life field study[J]. Transportation Research Part C: Emerging Technologies, 2011, 19(1): 145-155. doi: 10.1016/j.trc.2010.04.006
|
[6] |
SPICER R, VAHABAGHAIE A. Field effectiveness evaluation of advanced driver assistance systems[J/OL]. (2018-12-3) https://doi.org/10.1080/15389588.2018.1527030
|
[7] |
CICCHINO J B. Effects of lane departure warning on police-reported crash rates[J]. Journal of Safety Research, 2018, 66(9): 61-70. http://www.onacademic.com/detail/journal_1000040387311210_766c.html
|
[8] |
LI G F, LI S B. Field operational test of advanced driver assistance systems in typical Chinese road conditions: the influence of driver gender, age and aggression[J]. International Journal of Automotive Technology, 2015, 16(5): 739-750. doi: 10.1007/s12239-015-0075-5
|
[9] |
杨曼, 吴超仲, 张晖, 等. 行车安全事件的驾驶风险影响因素研究[J]. 交通信息与安全, 2018, 5(36): 34-39. doi: 10.3963/j.issn.1674-4861.2018.05.005
YNAG M, WU C Z, ZHANG H, et al. Influencing factors of driving risk based on critical incident events[J]. Journal of Transport Information and Safety, 2018, 36(56): 34-39. (in Chinese) doi: 10.3963/j.issn.1674-4861.2018.05.005
|
[10] |
WANG J Q, ZHANG L, LI K Q. An adaptive longitudinal driving assistance system based on driver characteristics[J]. IEEE Transactions on Intelligent Transportation Systems, 2013, 14(1): 1-12. doi: 10.1109/TITS.2012.2205143
|
[11] |
王雪松, 朱美新, 陈铭. 工况紧急程度对驾驶员避撞行为的影响[J]. 同济大学学报(自然科学版), 2016, 44(6): 876-883. https://www.cnki.com.cn/Article/CJFDTOTAL-TJDZ201606009.htm
WANG X S, ZHU M X, CHEN M. Impacts of situational urgency on drivers' collision avoidance behaviors[J]. Journal of Tongji University(Natural Science), 2016, 44(6): 876-883. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-TJDZ201606009.htm
|
[12] |
吕能超, 郑梦凡, 郝威, 等. 基于客观风险感知特性的前向碰撞预警算法优化与标定[J]. 交通运输工程学报, 2020, 20 (2): 105-113. https://www.cnki.com.cn/Article/CJFDTOTAL-JYGC202002014.htm
LYU N C, ZHENG M F, HAO W, et al. Forward collision warning algorithm optimization and calibration based on objective risk perception characteristic[J]. Journal of Traffic and Transportation Engineering, 2020, 20(2): 105-113. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-JYGC202002014.htm
|
[13] |
吴明先, 许甜, 刘建蓓, 等. 基于高频高精度定位信息的车辆轮廓冲突瞬时预测方法[J]. 中国公路学报, 2019, 32(6): 105-113. https://www.cnki.com.cn/Article/CJFDTOTAL-ZGGL201906012.htm
WU M X, XU T, LIU J B, et al. Instantaneous prediction of vehicle outlines conflict using the high-frequency and high-precision position information[J]. China Journal of Highway and Transport, 2019, 32(6): 105-113. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-ZGGL201906012.htm
|
[14] |
潘兵宏, 王晓东, 孙元琪. 路线外一点对应路线中桩算法研究[J]. 交通信息与安全, 2014, 32(1): 80-84. doi: 10.3963/j.issn.1674-4861.2014.01.016
PAN B H, WANG X D, SUN Y Q. Research on algorithm of route center stake corresponding to a point outside the route[J]. Journal of Transport Information and Safety, 2014, 32(1): 80-84. (in Chinese) doi: 10.3963/j.issn.1674-4861.2014.01.016
|
[15] |
吴斌, 朱西产, 沈剑平. 基于自然驾驶数据的驾驶员紧急制动行为特征[J]. 同济大学学报(自然科学版), 2018, 46 (11): 1514-1519. doi: 10.11908/j.issn.0253-374x.2018.11.007
WU B, ZHU X C, SHEN J P. Driver emergency braking behavior based on naturalistic driving data[J]. Journal of Tongji University(Natural Science), 2018, 46(11): 1514-1519. (in Chinese) doi: 10.11908/j.issn.0253-374x.2018.11.007
|
[16] |
吴斌, 朱西产, 沈剑平, 等. 自然驾驶工况的驾驶员紧急转向变道行为[J]. 同济大学学报(自然科学版), 2017, 45(4): 554-561. https://www.cnki.com.cn/Article/CJFDTOTAL-TJDZ201704014.htm
WU B, ZHU X C, SHEN J P, et al. Analysis of driver emergency steering lane changing behavior based on naturalistic driving data[J]. Journal of Tongji University(Natural Science), 2017, 45(4): 554-561. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-TJDZ201704014.htm
|
[17] |
刘有军, 李可, 余俊等. 四车道高速公路跟驰换道模型与参数机理[J]. 中国公路学报, 2014, 27(12): 96-105. https://www.cnki.com.cn/Article/CJFDTOTAL-ZGGL201412016.htm
LIU Y J, LI K, YU J, et al. Model and parameter incentive of four lane expressway following and changing lanes[J]. China Journal of Highway and Transport, 2014, 27(12): 96-105. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-ZGGL201412016.htm
|
[18] |
贺玉龙, 刘磊, 迟佳欣. 高速公路车辆换道行为风险研究[J]. 重庆交通大学学报(自然科学版), 2021, 40(4): 26-33. https://www.cnki.com.cn/Article/CJFDTOTAL-CQJT202104005.htm
HE Y L, LIU L, CHI J X. Risk of vehicle lane change behavior on highway[J]. Journal of Chongqing Jiaotong University (Natural Science), 2021, 40(4): 26-33. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-CQJT202104005.htm
|
[19] |
WU K F, AGUERO-VALVERDE J, JOVANIS P P. Using naturalistic driving data to explore the association between traffic safety-related events and crash risk at driver level[J]. Accident Analysis & Prevention, 2014, 72(11): 218. http://www.researchgate.net/profile/Paul_Jovanis/publication/264430361_Using_naturalistic_driving_data_to_explore_the_association_between_traffic_safety-related_events_and_crash_risk_at_driver_level/links/553a7bc30cf29b5ee4b64c80.pdf
|
[20] |
FENG G, FANG Y J. Individual driver risk assessment using naturalistic driving data[J]. Accident Analysis & Prevention, 2013, 61(12): 3-9. http://www.onacademic.com/detail/journal_1000036031112110_c716.html
|
[21] |
何民, 荣建, 任福田. 判定跟驰状态的研究[J]. 公路交通科技, 2001, 18(4): 74-78. https://www.cnki.com.cn/Article/CJFDTOTAL-GLJK200104020.htm
HE M, RONG J, REN F T. Research on following state determination[J]. Science and Technology of Highway Traffic, 2001, 18(4): 74-78. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-GLJK200104020.htm
|