Zhe-Zhe Fang's scientific contributions

Publication (1)

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Lane-changing (LC), which is one of the basic driving behavior, largely impacts on traffic efficiency and safety. Modeling an LC process is challenging due to the complexity and uncertainty of driving behavior. To address this issue, this paper proposes a data-driven LC model based on deep learning models. Deep belief network (DBN) and long short-t...


... However, the influence of different factors on the outcome of lane change is linear in these models, whereas lane change behavior is a process of coupled influence of multiple factors, and the relationship among the factors is often nonlinear. In recent years, in order to represent the nonlinear relationship between the input and output data more accurately, machine learning algorithms are increasingly being applied to lane-changing decision-making [9], such as support vector machine (SVM) [10], Bayesian filtering (BF) [11], and so on. ...