Real-time identification of probe vehicle trajectories in the mixed traffic corridor

Personalized design strategy of vehicle steer-by-wire characteristics considering driving style

“…The clustering algorithm is an unsupervised learning algorithm, which divides the data set into different clusters through continuous iteration. 33 The goal of clustering algorithm is to make the distance between different clusters as large as possible, so as to ensure that there are greater differences between different clusters. The typical clustering algorithms include K-means clustering, mean shift clustering, agglomerative hierarchical clustering and so on.…”

A Bayesian approach for estimating vehicle queue lengths at signalized intersections using probe vehicle data

“…In recent decades, the growing use of probe vehicle trajectory data has created new opportunities for traffic state estimation. Probe vehicles, including connected buses, taxis and private cars, are equipped with mobile sensors that can provide high-frequency, real-time location information along their trajectories (Mei et al, 2015;Zheng and Liu, 2017;Li et al, 2017). These data are thus not constrained by location.…”