Joint predictions of multi-modal ride-hailing demands: A deep multi-task multi-graph learning-based approach

Dispatch of autonomous vehicles for taxi services: A deep reinforcement learning approach

(2020) Chao Mao et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Predicting Taxi Demand Based on 3D Convolutional Neural Network and Multi-task Learning

(2019) Kuang et al.   Remote Sensing

Investigating objective and subjective factors influencing the adoption, frequency, and characteristics of ride-hailing trips

(2019) Patrícia S. Lavieri et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Predicting real-time surge pricing of ride-sourcing companies

(2019) Matthew Battifarano et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Predicting citywide crowd flows using deep spatio-temporal residual networks

(2018) Junbo Zhang et al.   ARTIFICIAL INTELLIGENCE

Real-Time Prediction of Taxi Demand Using Recurrent Neural Networks

(2017) Jun Xu et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

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

Forecasting the Subway Passenger Flow Under Event Occurrences With Social Media

(2016) Ming Ni et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Short-term traffic flow prediction with linear conditional Gaussian Bayesian network

(2016) Zheng Zhu et al.   JOURNAL OF ADVANCED TRANSPORTATION

Large-Scale Transportation Network Congestion Evolution Prediction Using Deep Learning Theory

(2015) Xiaolei Ma et al.   PLoS One

Short-term forecasting of high-speed rail demand: A hybrid approach combining ensemble empirical mode decomposition and gray support vector machine with real-world applications in China

(2014) Xiushan Jiang et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Short-Term Highway Traffic State Prediction Using Structural State Space Models

(2013) Chung-Cheng Lu et al.   Journal of Intelligent Transportation Systems

The multilinear normal distribution: Introduction and some basic properties

(2011) Martin Ohlson et al.   JOURNAL OF MULTIVARIATE ANALYSIS

Characterizing regimes in daily cycles of urban traffic using smooth-transition regressions

(2009) Yiannis Kamarianakis et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES