Predicting irregularities in arrival times for transit buses with recurrent neural networks using GPS coordinates and weather data

A reckoning algorithm for the prediction of arriving passengers for subway station networks

(2019) Jie Xu et al.   Journal of Ambient Intelligence and Humanized Computing

Recurrent Neural Networks for Multivariate Time Series with Missing Values

(2018) Zhengping Che et al.   Scientific Reports

Applying a multistage of input feature combination to random forest for improving MRT passenger flow prediction

(2018) Lijuan Liu et al.   Journal of Ambient Intelligence and Humanized Computing

Bus arrival time prediction using mixed multi-route arrival time data at previous stop

(2017) Xuedong Hua et al.   Transport

Short-term forecasting of passenger demand under on-demand ride services: A spatio-temporal deep learning approach

(2017) Jintao Ke et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Bus arrival time prediction using mixed multi-route arrival time data at previous stop

(2017) Xuedong Hua et al.   Transport

Capacity optimization and allocation of an urban rail transit network based on multi-source data

(2017) Bo Wang et al.   Journal of Ambient Intelligence and Humanized Computing

Bus stop-skipping scheme with random travel time

(2013) Zhiyuan Liu et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Dynamic multi-interval bus travel time prediction using bus transit data

(2009) Hyunho Chang et al.   Transportmetrica