77 citations · 219 across the 11 of their papers we have counts for
8 papers · 1 filter
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…
Bayesian calibration of traffic flow fundamental diagrams using Gaussian processes
Zhanhong Cheng, Xudong Wang, Xinyuan Chen +2
Modeling the relationship between vehicle speed and density on the road is a fundamental problem in traffic flow theory. Recent research found that using the least-squares (LS) met…
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…
Quantifying out-of-station waiting time in oversaturated urban metro systems
Kangli Zhu, Zhanhong Cheng, Jianjun Wu +2
Metro systems in megacities such as Beijing, Shenzhen and Guangzhou are under great passenger demand pressure. During peak hours, it is common to see oversaturated conditions (i.e.…
Real-time forecasting of metro origin-destination matrices with high-order weighted dynamic mode decomposition
Zhanhong Cheng, Martin Trepanier, Lijun Sun
Forecasting the short-term ridership among origin-destination pairs (OD matrix) of a metro system is crucial in real-time metro operation. However, this problem is notoriously diff…
Incorporating travel behavior regularity into passenger flow forecasting
Zhanhong Cheng, Martin Trepanier, Lijun Sun
Accurate forecasting of passenger flow (i.e., ridership) is critical to the operation of urban metro systems. Previous studies mainly model passenger flow as time series by aggrega…