Two-lane multipoint overtaking decision model based on vehicle network

Simu Qin, Xu Li, Jianchun Wang
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Abstract

Considering the existing overtaking model, currently only calculation of the overtaking time and distance is required for vehicles from their overtaking behavior. However, the decision of the key positions in the overtaking process ignored. Based on the existing overtaking models, this paper proposes the overtaking feasibility decision making ability of key position of overtaking process, as well as lane change decision, and adds the vehicle operating characteristics to form a complete set of different speeds for different vehicles. The model is designed for the purposes of location overtaking feasibility decision, to verify the effectiveness of the established decision model algorithm. The results show that the overtaking time and distance of the two-lane highway are closely related to the vehicle type, overtaking speed, overtaking vehicle, speed of the overtaking vehicle and the speed of the opposite vehicle. In consideration of the moving characteristics of the vehicle, different vehicles need to overtake, and the overtaking time and distance are different, and multiple decisions are made at key positions in the vehicle overtaking process. The experimental results show that the obtained results are significantly in line with the actual overtaking phenomenon.
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基于车辆网络的双车道多点超车决策模型
考虑到现有的超车模型,目前只需要从车辆的超车行为来计算超车时间和超车距离。然而,超车过程中关键位置的确定却被忽视了。本文在现有超车模型的基础上,提出了超车过程关键位置的超车可行性决策能力,以及变道决策,并加入了车辆运行特性,形成了一套针对不同车辆的不同车速。以位置超车可行性决策为目的设计模型,验证所建决策模型算法的有效性。结果表明:双车道公路超车时间和超车距离与车辆类型、超车速度、超车车辆、超车车辆速度和对面车辆速度密切相关;考虑到车辆的行驶特性,不同车辆需要超车,超车时间和超车距离也不同,在车辆超车过程的关键位置进行多重决策。实验结果表明,所得结果与实际超车现象有明显的一致性。
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