Early risk diagnosis and driving anomaly detection from vehicle stream are of great benefits in a range advanced solutions towards Smart Road crash prevention, although there intrinsic challenges, especially lack ground truth, definition multiple exposures. This study proposes domain-specific automatic clustering (termed AutoCluster) to self-learn the optimal models for unsupervised assessment,...

Large volumes of trajectory-based data require development of appropriate data manipulation mechanisms that will offer efficient computational solutions. In particular, identification of meaningful geometric points of such trajectories is still an open research issue. Detection of these critical points implies to identify self-intersecting, turning and curvature points so that specific geometri...

Simulation of the real-world traffic can be used to help validate transportation policies. A good simulator means simulated is similar traffic, which often requires dense trajectories (i.e., with a high sampling rate) cover dynamic situations in real world. However, most cases, are sparse, makes simulation challenging. In this paper, we present novel framework ImInGAIL address problem learning ...