Shahini Farzaneh, Nasr Vanessa, Zahabi Maryam
Cherokee Nation 3-s (CN3S), Federal Aviation Administration, Oklahoma City, OK, USA.
Wm Michael Barnes '64 Department of Industrial & Systems Engineering, Texas A&M University, College Station, TX, USA.
Ergonomics. 2024 Sep 18:1-15. doi: 10.1080/00140139.2024.2404652.
Advanced driver-assistance systems (ADAS) are technologies that can enhance drivers' safety by relieving them from some driving related activities. However, police driving conditions and demands are different from those of civilian drivers. The objective of this study was to assess the impact of ADAS such as forward collision warning (FCW), automatic emergency braking (AEB), and blind spot monitoring (BSM) on police officers' driving performance, workload, and trust in vehicle safety to provide personalised solutions for police vehicles. A driving simulation study was conducted with 18 police officers. ADAS use was assessed under various driving conditions and while officers were engaged in non-driving related tasks. Findings suggested that the FCW and AEB systems improved officers' driving performance, while the BSM system had limited effectiveness due to low salience. ADAS were beneficial under normal driving conditions and when officers were using in-vehicle technology; however, they did not help officers in pursuit conditions.
先进驾驶辅助系统(ADAS)是通过将驾驶员从一些与驾驶相关的活动中解脱出来,从而提高驾驶安全性的技术。然而,警察的驾驶条件和要求与普通驾驶员不同。本研究的目的是评估前碰撞预警(FCW)、自动紧急制动(AEB)和盲点监测(BSM)等先进驾驶辅助系统对警察驾驶性能、工作量以及对车辆安全信任度的影响,以便为警车提供个性化解决方案。对18名警察进行了驾驶模拟研究。在各种驾驶条件下以及警察从事非驾驶相关任务时,对先进驾驶辅助系统的使用情况进行了评估。研究结果表明,前碰撞预警和自动紧急制动系统提高了警察的驾驶性能,而盲点监测系统由于显著性较低,效果有限。先进驾驶辅助系统在正常驾驶条件下以及警察使用车载技术时是有益的;然而,在追捕情况下对警察没有帮助。