Short-term demand forecasting for online car-hailing using ConvLSTM networks

A new car-following model on complex road considering driver’s characteristics

(2020) Shuke An et al.   MODERN PHYSICS LETTERS B

Predicting peak load of bus routes with supply optimization and scaled Shepard interpolation: A newsvendor model

(2020) Weitiao Wu et al.   TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW

Predicting Bus Passenger Flow and Prioritizing Influential Factors Using Multi-Source Data: Scaled Stacking Gradient Boosting Decision Trees

(2020) Weitiao Wu et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Stochastic bus schedule coordination considering demand assignment and rerouting of passengers

(2019) Weitiao Wu et al.   TRANSPORTATION RESEARCH PART B-METHODOLOGICAL

Simulation-based robust optimization of limited-stop bus service with vehicle overtaking and dynamics: A response surface methodology

(2019) Weitiao Wu et al.   TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW

Spatiotemporal Recurrent Convolutional Networks for Traffic Prediction in Transportation Networks

(2017) Haiyang Yu et al.   SENSORS

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

Long short-term memory neural network for traffic speed prediction using remote microwave sensor data

(2015) Xiaolei Ma et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

A Hidden Markov Model for short term prediction of traffic conditions on freeways

(2014) Yan Qi et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Statistical methods versus neural networks in transportation research: Differences, similarities and some insights

(2010) M.G. Karlaftis et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Predictions of Freeway Traffic Speeds and Volumes Using Vector Autoregressive Models

(2009) Srinivasa Ravi Chandra et al.   Journal of Intelligent Transportation Systems