Morris Andrew Paul, Haworth Narelle, Filtness Ashleigh, Nguatem Daryl-Palma Asongu, Brown Laurie, Rakotonirainy Andry, Glaser Sebastien
Transport Safety Research Centre, Loughborough University, Loughborough LE11 3TU, UK.
Centre for Accident Research and Road Safety, Queensland University of Technology, Queensland (CARS-Q), Brisbane 4000, Australia.
Behav Sci (Basel). 2021 Jul 15;11(7):101. doi: 10.3390/bs11070101.
(1) Background: Passenger vehicles equipped with advanced driver-assistance system (ADAS) functionalities are becoming more prevalent within vehicle fleets. However, the full effects of offering such systems, which may allow for drivers to become less than 100% engaged with the task of driving, may have detrimental impacts on other road-users, particularly vulnerable road-users, for a variety of reasons. (2) Crash data were analysed in two countries (Great Britain and Australia) to examine some challenging traffic scenarios that are prevalent in both countries and represent scenarios in which future connected and autonomous vehicles may be challenged in terms of safe manoeuvring. (3) Road intersections are currently very common locations for vulnerable road-user accidents; traffic flows and road-user behaviours at intersections can be unpredictable, with many vehicles behaving inconsistently (e.g., red-light running and failure to stop or give way), and many vulnerable road-users taking unforeseen risks. (4) Conclusions: The challenges of unpredictable vulnerable road-user behaviour at intersections (including road-users violating traffic or safe-crossing signals, or taking other risks) combined with the lack of knowledge of CAV responses to intersection rules, could be problematic. This could be further compounded by changes to nonverbal communication that currently exist between road-users, which could become more challenging once CAVs become more widespread.
(1)背景:配备先进驾驶辅助系统(ADAS)功能的乘用车在车队中越来越普遍。然而,提供此类系统可能会使驾驶员对驾驶任务的投入低于100%,其全面影响可能会因多种原因对其他道路使用者,尤其是易受伤害的道路使用者产生不利影响。(2)对两个国家(英国和澳大利亚)的碰撞数据进行了分析,以研究两国都普遍存在的一些具有挑战性的交通场景,这些场景代表了未来联网和自动驾驶车辆在安全操纵方面可能面临挑战的情况。(3)道路交叉口目前是易受伤害道路使用者事故的常见地点;交叉口的交通流量和道路使用者行为可能不可预测,许多车辆行为不一致(例如,闯红灯以及不停车或不让行),许多易受伤害的道路使用者会冒不可预见的风险。(4)结论:交叉口不可预测的易受伤害道路使用者行为(包括道路使用者违反交通或安全穿越信号,或冒其他风险)带来的挑战,再加上对联网自动驾驶车辆对交叉口规则反应的了解不足,可能会出现问题。目前道路使用者之间存在的非语言交流变化可能会进一步加剧这一问题,一旦联网自动驾驶车辆更加普及,这可能会变得更具挑战性。