Koglbauer Ioana, Holzinger Jürgen, Eichberger Arno, Lex Cornelia
a Institute of Automotive Engineering , Graz University of Technology , Graz , Austria.
b AVL List GmbH , Graz , Austria.
Traffic Inj Prev. 2018 Apr 3;19(3):332-337. doi: 10.1080/15389588.2017.1407411. Epub 2018 Feb 23.
This study investigated drivers' evaluation of a conventional autonomous emergency braking (AEB) system on high and reduced tire-road friction and compared these results to those of an AEB system adaptive to the reduced tire-road friction by earlier braking. Current automated systems such as the AEB do not adapt the vehicle control strategy to the road friction; for example, on snowy roads. Because winter precipitation is associated with a 19% increase in traffic crashes and a 13% increase in injuries compared to dry conditions, the potential of conventional AEB to prevent collisions could be significantly improved by including friction in the control algorithm. Whereas adaption is not legally required for a conventional AEB system, higher automated functions will have to adapt to the current tire-road friction because human drivers will not be required to monitor the driving environment at all times. For automated driving functions to be used, high levels of perceived safety and trust of occupants have to be reached with new systems. The application case of an AEB is used to investigate drivers' evaluation depending on the road condition in order to gain knowledge for the design of future driving functions.
In a driving simulator, the conventional, nonadaptive AEB was evaluated on dry roads with high friction (μ = 1) and on snowy roads with reduced friction (μ = 0.3). In addition, an AEB system adapted to road friction was designed for this study and compared with the conventional AEB on snowy roads with reduced friction. Ninety-six drivers (48 males, 48 females) assigned to 5 age groups (20-29, 30-39, 40-49, 50-59, and 60-75 years) drove with AEB in the simulator. The drivers observed and evaluated the AEB's braking actions in response to an imminent rear-end collision at an intersection.
The results show that drivers' safety and trust in the conventional AEB were significantly lower on snowy roads, and the nonadaptive autonomous braking strategy was considered less appropriate on snowy roads compared to dry roads. As expected, the adaptive AEB braking strategy was considered more appropriate for snowy roads than the nonadaptive strategy. In conditions of reduced friction, drivers' subjective safety and trust were significantly improved when driving with the adaptive AEB compared to the conventional AEB. Women felt less safe than men when AEB was braking. Differences between age groups were not of statistical significance.
Drivers notice the adaptation of the autonomous braking strategy on snowy roads with reduced friction. On snowy roads, they feel safer and trust the adaptive system more than the nonadaptive automation.
本研究调查了驾驶员对传统自动紧急制动(AEB)系统在高轮胎-路面摩擦力和降低的轮胎-路面摩擦力情况下的评价,并将这些结果与通过提前制动来适应降低的轮胎-路面摩擦力的AEB系统的结果进行比较。当前的自动化系统,如AEB系统,并未使车辆控制策略适应路面摩擦力;例如,在积雪道路上。由于与干燥条件相比,冬季降水会使交通事故增加19%,受伤人数增加13%,因此通过在控制算法中纳入摩擦力,传统AEB系统预防碰撞的潜力可以得到显著提高。虽然传统AEB系统在法律上不要求具备适应性,但更高等级的自动化功能将必须适应当前的轮胎-路面摩擦力,因为不再要求人类驾驶员时刻监控驾驶环境。为了使自动驾驶功能得以使用,新系统必须达到乘客高度的感知安全性和信任度。以AEB的应用案例来研究驾驶员根据道路状况的评价,以便为未来驾驶功能的设计获取知识。
在驾驶模拟器中,对传统的、非自适应AEB系统在高摩擦力的干燥路面(μ = 1)和低摩擦力的积雪路面(μ = 0.3)上进行评价。此外,本研究设计了一种适应路面摩擦力的AEB系统,并将其与在低摩擦力积雪路面上的传统AEB系统进行比较。96名驾驶员(48名男性,48名女性)被分为5个年龄组(20 - 29岁、30 - 39岁、40 - 49岁、50 - 59岁和60 - 75岁),在模拟器中驾驶配备AEB系统的车辆。驾驶员观察并评价AEB系统在十字路口即将发生追尾碰撞时的制动动作。
结果表明,在积雪道路上,驾驶员对传统AEB系统的安全性和信任度显著较低,与干燥道路相比,非自适应自动制动策略在积雪道路上被认为不太合适。正如预期的那样,与非自适应策略相比,自适应AEB制动策略在积雪道路上被认为更合适。在摩擦力降低的情况下,与传统AEB系统相比,驾驶配备自适应AEB系统的车辆时,驾驶员的主观安全性和信任度显著提高。当AEB系统制动时,女性比男性感觉更不安全。年龄组之间的差异无统计学意义。
驾驶员注意到在摩擦力降低的积雪道路上自动制动策略的适应性。在积雪道路上,他们感觉使用自适应系统比非自适应自动化系统更安全,也更信任自适应系统。