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20222025
most citedConditional forecasting of bus travel time and passenger occupancy with Bayesian Markov regime-switching vector autoregression

6 citations · 18 across the 8 of their papers we have counts for

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5 papers · 1 filter

stat.AP2025

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…

stat.AP2024

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…

stat.AP2024★ 6 cited

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…

stat.AP2022★ 3 cited

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…

stat.AP2022★ 5 cited

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…