Beijing Key Laboratory of Traffic Engineering, Beijing University of Technology, N0. 100, Pingleyuan, Chaoyang District, Beijing, 100124, China.
Accid Anal Prev. 2021 Jul;157:106145. doi: 10.1016/j.aap.2021.106145. Epub 2021 May 19.
The drastic changes of the space environment at the tunnel entrance can lead to frequent accidents with higher levels. The connected vehicle environment provides drivers with surrounding traffic information and improve their driving behavior by helping them make safe decisions efficiently. As such, this study is to examine the effects of the connected vehicle environment on driving behavior and safety at the tunnel entrance zone. To this end, this research simulates a connected vehicle environment and provides driving aids through the Human-Machine Interface (HMI). Secondly, 40 participants with diverse backgrounds drove the simulator under two different driving conditions: HMI-OFF (traditional driving environment) and HMI-ON (connected vehicle environment). Finally, indicators are selected from speed control, stability and urgency to analyze the impact of the connected vehicle environment on drivers' behaviors and safety at the warning zone and tunnel entrance zone. The results show that in the connected vehicle environment, the drivers' speed control in the warning zone is improved and their deceleration behavior is advanced. The driver's speed control and stability are improved while the danger level of the accident is reduced 100 m ahead of the tunnel entrance. Besides, the driver's speed control and stability have been both improved 300 m after the tunnel entrance. Overall, in the connected vehicle environment, the driver can recognize the tunnel in advance and adjust his driving speed in time to ensure his safety at the tunnel entrance. The results of this study play a critical role in the design and research of warning systems in a connected vehicle environment, and will also guide vehicle manufacturers in designing safety-related functions of automated vehicles. In this research, a connected vehicle environment test platform based on driving simulation technology is constructed and tested in specific tunnel entrance scenarios, which provides a reference for realizing active protection of vehicles at the tunnel entrance.
隧道入口处的空间环境剧烈变化可能会导致更高级别的频繁事故。车联网环境通过帮助驾驶员高效地做出安全决策，为驾驶员提供周围交通信息，并改善他们的驾驶行为。因此，本研究旨在研究车联网环境对隧道入口区域驾驶行为和安全的影响。为此，本研究通过人机界面（HMI）模拟车联网环境并提供驾驶辅助。其次，40 名具有不同背景的参与者在两种不同的驾驶条件下驾驶模拟器：HMI-OFF（传统驾驶环境）和 HMI-ON（车联网环境）。最后，从速度控制、稳定性和紧迫性三个方面选取指标，分析车联网环境对驾驶员在警告区和隧道入口区的行为和安全的影响。结果表明，在车联网环境中，驾驶员在警告区的速度控制得到改善，减速行为提前。驾驶员的速度控制和稳定性在隧道入口前 100 米处得到改善，事故危险等级降低。此外，驾驶员的速度控制和稳定性在隧道入口后 300 米处均得到改善。总体而言，在车联网环境中，驾驶员可以提前识别隧道并及时调整驾驶速度，确保隧道入口处的安全。本研究结果在车联网环境下的预警系统设计和研究中具有重要作用，也将指导汽车制造商设计自动驾驶车辆的安全相关功能。本研究构建并测试了基于驾驶模拟技术的车联网环境测试平台，为实现隧道入口处车辆的主动保护提供了参考。
