This study aims to evaluate the effect of the autonomous trucks on distresses of asphalt concrete (AC) pavement and determine the influence of the induced distresses on traffic safety factors in wet weather conditions. Two scenarios – the baseline and autonomous scenarios were simulated by the standard deviation of normally distributed truck traffic loading. Compared to baseline, all autonomous simulations have a negative impact on AC rutting, and corresponding skid resistance and hydroplaning potential. A graphical relationship has been proposed to obtain a design threshold value for hydroplaning speed of a standard tire, water film depth, and autonomous truck speed. This was proposed to remove the contradiction between hydroplaning speed and accumulated rutting with increasing truck speed. The placement of all autonomous trucks in a certain low-temperature period of a day was found to be beneficial for reducing asphalt pavement rutting and might bring improvement in highway safety issues.

本研究旨在评估自动驾驶卡车对沥青混凝土 (AC) 路面不良状况的影响，并确定在潮湿天气条件下诱发的不良状况对交通安全因素的影响。两种情景——基线情景和自主情景通过正态分布的卡车交通负荷的标准偏差进行模拟。与基线相比，所有自主模拟都对交流车辙产生负面影响，以及相应的防滑性和滑水潜力。已经提出了一种图形关系来获得标准轮胎的滑水速度、水膜深度和自动卡车速度的设计阈值。这是为了消除随着卡车速度增加而产生的滑水速度和累积车辙之间的矛盾。