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        A MEMORY-ATTENTION HIERARCHICAL MODEL FOR DRIVING-BEHAVIOR RECOGNITION AND MOTION PREDICTION

        Yin Huilin,Wang Jie,Lin Jia,Han Daguang,Ying Chunli,Meng Qian 한국자동차공학회 2021 International journal of automotive technology Vol.22 No.4

        Proper understanding and prediction of driving behavior of surrounding vehicles are one of the most significant requirements for automated driving especially when it comes to safety on a highway. In this paper, we propose a two-layer memory-attention hierarchical model (MAHM) for driving-behavior recognition and motion prediction. This model is based on the human driver’s thinking as well as on brain physiology, i.e., working memory and the selective-attention mechanism. The first layer is a hidden Markov model (HMM), which is used to achieve efficient recognition of driving behavior. The second layer is a memory-attention recurrent neural network (MARNN) for motion prediction, which derives the data from vehicles of interest as input according to driving behavior. Finally, the experimental analysis is performed on the real-data NGSIM US-101 and HighD datasets for highway-driving scenes. We report our results from three perspectives: accuracy of driving-behavior classification, error of predicted trajectories, and execution time.

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        Experimental Study on Existing RC Circular Members Under Unequal Lateral Impact Train Collision

        Khalil AL-Bukhaiti,Liu Yanhui,Zhao Shichun,Hussein Abas,Xu Nan,Yang Lang,Yan Xing Yu,Han Daguang 한국콘크리트학회 2022 International Journal of Concrete Structures and M Vol.16 No.5

        With the fast growth of high-speed rail in recent years, derailment has become the first hidden danger of high-speed rail transportation. The high-speed train passes near the station building. So the train may derail and hit the station building. Building a high-speed railway station usually uses a reinforced concrete structure. As a result of high impact energy on the impact body, the reinforced concrete (RC) member may fail; the impact point is near the member's foot; the structural member's constraint can be considered fixed support. This paper investigates the dynamic behavior of four types of circular reinforced concrete members under unequal lateral impact loads. The RC member's failure mechanism and dynamic response addressed the significance of unequal lateral impact load. The usual circular reinforced concrete members are used as the model to perform the drop-weight impact test. The specimens' crack pattern, failure mechanism, impact, deflection, and strain time–history curves are obtained. Findings show that between the impact point and the adjacent support, shear fractures occur that fail in shear mode. Shear cracks are based on impact velocity, longitudinal reinforcement ratio, and stirrup ratio. One type is more destructive to members and nodes. A shear fracture occurs when a longitudinal reinforcement fractures towards the closer support. The effects of impact velocity, longitudinal reinforcement ratio, and stirrup ratio on the dynamic impact response are studied. The experimental results may help improve structural member impact resistance. The critical section (right side) computed the static shear resistance using shear force, whereas the maximum external load resistance determines static bending moment resistance. Understanding how circular members fail to be subjected to unequal lateral impact loads provides insight into circular RC members' impact design and damage evaluation.

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