6 citations · 18 across the 8 of their papers we have counts for
8 papers
Bayesian spatiotemporal modeling of passenger trip assignment in metro networks
Xiaoxu Chen, Alexandra M. Schmidt, Zhenliang Ma +1
Assigning passenger trips to specific network paths using automatic fare collection (AFC) data is a fundamental application in urban transit analysis. The task is a difficult inver…
ForecastGrapher: Redefining Multivariate Time Series Forecasting with Graph Neural Networks
Wanlin Cai, Kun Wang, Hao Wu +2
The challenge of effectively learning inter-series correlations for multivariate time series forecasting remains a substantial and unresolved problem. Traditional deep learning mod…
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…
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…
Enhancing Representation Learning for Periodic Time Series with Floss: A Frequency Domain Regularization Approach
Chunwei Yang, Xiaoxu Chen, Lijun Sun +2
Time series analysis is a fundamental task in various application domains, and deep learning approaches have demonstrated remarkable performance in this area. However, many real-wo…
Discovering Dynamic Patterns from Spatiotemporal Data with Time-Varying Low-Rank Autoregression
Xinyu Chen, Chengyuan Zhang, Xiaoxu Chen +2
The problem of broad practical interest in spatiotemporal data analysis, i.e., discovering interpretable dynamic patterns from spatiotemporal data, is studied in this paper. Toward…
Probabilistic forecasting of bus travel time with a Bayesian Gaussian mixture model
Xiaoxu Chen, Zhanhong Cheng, Jian Gang Jin +2
Accurate forecasting of bus travel time and its uncertainty is critical to service quality and operation of transit systems; for example, it can help passengers make better decisio…
Bayesian inference for link travel time correlation of a bus route
Xiaoxu Chen, Zhanhong Cheng, Lijun Sun
Estimation of link travel time correlation of a bus route is essential to many bus operation applications, such as timetable scheduling, travel time forecasting and transit service…