论文标题
使用隐藏的马尔可夫模型的崩溃预测和回避方法
A Method for Crash Prediction and Avoidance Using Hidden Markov Models
论文作者
论文摘要
近年来，汽车技术取得了稳步的进步。特别是，高级驾驶员辅助系统（ADAS）使商用车的许多安全功能，例如行人检测，巷道保持辅助，紧急自动制动等。尽管这些功能为驾驶员提供了更安全的操作环境，但偶尔仍然会发生撞车，但由于不可预测的道路行动以及包括汽车，行人，行人，行人，行人，奔放，易货，非赛车和非矿车的行动而发生的不可预测的行动。在本文中，我们旨在预测高速公路上车辆之间撞车事故的可能性，并实施适当的主动安全系统以防止相同的安全系统。特别是，为交通车道开发了隐藏的马尔可夫模型和高速公路上车辆的速度变化。开发了用于预测崩溃概率的算法。使用MATLAB进行了仿真实验，结果说明了拟议研究的有效性。
In recent years, automotive technology has made a steady progress. In particular, Advanced Driver Assistance System (ADAS) has enabled many safety features in commercial vehicles, for instance, pedestrian detection, lane keeping assist, emergency automatic braking, etc. Although these features provide drivers with a safer operational environment, crashes still happen occasionally due to the complex road conditions and the unpredictable movement of road users including vehicles, pedestrians, bicyclists, and non-motorized vehicles. In this paper, we aim at predicting the possibilities of crashes between vehicles on highway and implementing an appropriate active safety system to prevent the same. In particular, hidden Markov models are developed for the traffic lanes and speed change of vehicles on highway. Algorithms are developed for the prediction of crash probabilities. Simulation experiments are conducted using Matlab, the results illustrate the effectiveness of the proposed research.
