Vehicle Safety Institute, Graz University of Technology, Inffeldgasse 13/6, 8010 Graz, Austria.
Vehicle Safety Institute, Graz University of Technology, Inffeldgasse 13/6, 8010 Graz, Austria.
Accid Anal Prev. 2023 Nov;192:107242. doi: 10.1016/j.aap.2023.107242. Epub 2023 Aug 1.
The risk being severely or fatally injured in crashes with heavy goods vehicle and buses is much higher compared to other vehicles. Especially vulnerable road users such as pedestrian and cyclists are at high risk. In the European Union 4600 pedestrian and more than 2000 cyclists were killed in 2019. 18% of the fatalities were counted in crashes with heavy goods vehicles or buses. Blind spot situations and driver inattention or distraction are causing and contributing crash factors. Driver assistance systems are intended to support drivers and might have a positive effect on the crash avoidance. The objective of the study is the analysis of the change of driver behaviour in heavy goods vehicles and buses due to a aftermarket blind spot monitoring system. In a naturalistic driving study 15 heavy goods vehicles and five buses were equipped with a blind spot monitoring system and data were collected over a period of two years. The results revealed that the system would reduce the number of warnings with vulnerable road users by one third for heavy goods vehicles and 10% for buses. Up to 200 lives annually could potentially be saved with the analysed system, on the assumption that the collision warnings correlate directly with crashes.
与其他车辆相比,与重型货车和公共汽车发生严重或致命事故的风险要高得多。行人、骑自行车者等弱势道路使用者面临很高的风险。2019 年,在欧盟有 4600 名行人和 2000 多名骑自行车者死亡。18%的死亡人数被计入与重型货车或公共汽车的事故中。盲点情况以及驾驶员的疏忽或分心是造成和促成事故的因素。驾驶员辅助系统旨在为驾驶员提供支持,并可能对避免事故产生积极影响。本研究的目的是分析由于售后市场盲点监测系统,重型货车和公共汽车驾驶员行为的变化。在一项自然驾驶研究中,15 辆重型货车和 5 辆公共汽车配备了盲点监测系统,并在两年的时间内收集了数据。结果表明,对于重型货车,该系统将使与弱势道路使用者相关的警告数量减少三分之一,对于公共汽车则减少 10%。假设碰撞警告与事故直接相关,那么通过分析系统,每年可能会挽救多达 200 条生命。