Chalmers University of Technology, SAFER-Lindholmspiren 3, 417 56, Göteborg, Sweden.
Chalmers University of Technology, SAFER-Lindholmspiren 3, 417 56, Göteborg, Sweden.
Accid Anal Prev. 2018 Feb;111:238-250. doi: 10.1016/j.aap.2017.11.032. Epub 2017 Dec 14.
Bicyclist fatalities are a great concern in the European Union. Most of them are due to crashes between motorized vehicles and bicyclists at unsignalised intersections. Different countermeasures are currently being developed and implemented in order to save lives. One type of countermeasure, active safety systems, requires a deep understanding of driver behaviour to be effective without being annoying. The current study provides new knowledge about driver behaviour which can inform assessment programmes for active safety systems such as Euro NCAP. This study investigated how drivers responded to bicyclists crossing their path at an intersection. The influences of car speed and cyclist speed on the driver response process were assessed for three different crossing configurations. The same experimental protocol was tested in a fixed-base driving simulator and on a test track. A virtual model of the test track was used in the driving simulator to keep the protocol as consistent as possible across testing environments. Results show that neither car speed nor bicycle speed directly influenced the response process. The crossing configuration did not directly influence the braking response process either, but it did influence the strategy chosen by the drivers to approach the intersection. The point in time when the bicycle became visible (which depended on the car speed, the bicycle speed, and the crossing configuration) and the crossing configuration alone had the largest effects on the driver response process. Dissimilarities between test-track and driving-simulator studies were found; however, there were also interesting similarities, especially in relation to the driver braking behaviour. Drivers followed the same strategy to initiate braking, independent of the test environment. On the other hand, the test environment affected participants' strategies for releasing the gas pedal and regulating deceleration. Finally, a mathematical model, based on both experiments, is proposed to characterize driver braking behaviour in response to bicyclists crossing at intersections. This model has direct implications on what variables an in-vehicle safety system should consider and how tests in evaluation programs should be designed.
在欧盟,自行车骑手的死亡是一个令人关注的问题。其中大多数是由于机动车与自行车在无信号交叉口发生碰撞导致的。为了挽救生命,目前正在制定和实施不同的对策。一种对策,即主动安全系统,需要深入了解驾驶员的行为,才能在不令人厌烦的情况下有效。本研究提供了有关驾驶员行为的新知识,这些知识可以为主动安全系统(如 Euro NCAP)的评估计划提供信息。本研究调查了驾驶员在交叉口如何应对自行车穿越其行驶路径的情况。评估了三种不同交叉配置下汽车速度和自行车速度对驾驶员响应过程的影响。相同的实验方案在固定基础驾驶模拟器和测试轨道上进行了测试。测试轨道的虚拟模型用于驾驶模拟器中,以保持不同测试环境下的协议尽可能一致。结果表明,汽车速度和自行车速度都不会直接影响响应过程。交叉配置也不会直接影响制动响应过程,但它确实会影响驾驶员选择接近交叉口的策略。自行车变得可见的时间(这取决于汽车速度、自行车速度和交叉配置)和交叉配置单独对驾驶员响应过程的影响最大。在测试轨道和驾驶模拟器研究之间发现了差异;然而,也存在有趣的相似之处,特别是在驾驶员制动行为方面。无论测试环境如何,驾驶员都遵循相同的策略来启动制动。另一方面,测试环境会影响参与者释放油门踏板和调节减速的策略。最后,提出了一个基于两个实验的数学模型,以描述驾驶员在交叉口遇到自行车时的制动行为。该模型直接影响车载安全系统应考虑哪些变量以及评估计划中的测试应如何设计。