4 papers
Bayesian Inference of Time-Varying Origin-Destination Matrices from Boarding/Alighting Counts for Transit Services
Xiaoxu Chen, Zhanhong Cheng, Lijun Sun
Origin-destination (OD) demand matrices are crucial for transit agencies to design and operate transit systems. This paper presents a novel temporal Bayesian model designed to esti…
Laplacian Convolutional Representation for Traffic Time Series Imputation
Xinyu Chen, Zhanhong Cheng, HanQin Cai +2
Spatiotemporal traffic data imputation is of great significance in intelligent transportation systems and data-driven decision-making processes. To perform efficient learning and a…
Traffic State Estimation from Vehicle Trajectories with Anisotropic Gaussian Processes
Fan Wu, Zhanhong Cheng, Huiyu Chen +2
Accurately monitoring road traffic state is crucial for various applications, including travel time prediction, traffic control, and traffic safety. However, the lack of sensors of…
Conditional forecasting of bus travel time and passenger occupancy with Bayesian Markov regime-switching vector autoregression
Xiaoxu Chen, Zhanhong Cheng, Alexandra M. Schmidt +1
Accurately forecasting bus travel time and passenger occupancy with uncertainty is essential for both travelers and transit agencies/operators. However, existing approaches to fore…