University Institute for Automobile Research (INSIA), Universidad Politécnica de Madrid (UPM), 28031 Madrid, Spain.
Psychology Faculty, Universidad Complutense de Madrid, Campus de Somosaguas, Pozuelo de Alarcón, 28223 Madrid, Spain.
Sensors (Basel). 2020 Sep 29;20(19):5582. doi: 10.3390/s20195582.
Merging is one of the most critical scenarios that can be found in road transport. In this maneuver, the driver is subjected to a high mental load due to the large amount of information he handles, while making decisions becomes a crucial issue for their safety and those in adjacent vehicles. In previous works, it was studied how the merging maneuver affected the cognitive load required for driving by means of an eye tracking system, justifying the proposal of a driver assistance system for the merging maneuver on highways. This paper presents a merging assistance system based on communications between vehicles, which allows vehicles to share internal variables of position and speed and is implemented on a mobile device located inside the vehicle. The system algorithm decides where and when the vehicle can start the merging maneuver in safe conditions and provides the appropriate information to the driver. Parameters and driving simulator tests are used for the interface definition to develop the less intrusive and demanding one. Afterward, the system prototype was installed in a real passenger car and tests in real scenarios were conducted with several drivers to assess usability and mental load. Comparisons among alternative solutions are shown and effectiveness is assessed.
合并是道路运输中最关键的场景之一。在这种情况下，驾驶员由于需要处理大量信息而承受着很高的心理负荷，做出决策对于他们自身和相邻车辆的安全变得至关重要。在以前的工作中，通过眼动追踪系统研究了合并操作如何影响驾驶所需的认知负荷，这证明了在高速公路上提出合并操作的驾驶员辅助系统的合理性。本文提出了一种基于车辆间通信的合并辅助系统，该系统允许车辆共享位置和速度的内部变量，并在位于车辆内部的移动设备上实现。系统算法决定车辆在安全条件下何时何地可以开始合并操作，并向驾驶员提供适当的信息。使用参数和驾驶模拟器测试来定义接口，以开发出干扰性更小、要求更低的接口。之后，系统原型被安装在一辆真正的乘用车上，并与几位驾驶员在真实场景中进行了测试，以评估可用性和心理负荷。展示了替代方案之间的比较，并评估了有效性。
