Rob Pringle

An iterative learning approach for density control of freeway traffic flow via ramp metering

Traffic signal timing via deep reinforcement learning

Reinforcement learning-based multi-agent system for network traffic signal control

Preparing a nation for autonomous vehicles: opportunities, barriers and policy recommendations

LSTM network: a deep learning approach for short‐term traffic forecast

Learning Traffic as Images: A Deep Convolutional Neural Network for Large-Scale Transportation Network Speed Prediction

A Multiagent Approach to Autonomous Intersection Management

Improved Deep Hybrid Networks for Urban Traffic Flow Prediction Using Trajectory Data

A survey on internet of vehicles: Applications, security issues & solutions

Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting

Big Data Analytics in Intelligent Transportation Systems: A Survey

Travel and the Built Environment: A Synthesis

Multiagent Reinforcement Learning for Integrated Network of Adaptive Traffic Signal Controllers (MARLIN-ATSC): Methodology and Large-Scale Application on Downtown Toronto

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

An Edge Traffic Flow Detection Scheme Based on Deep Learning in an Intelligent Transportation System

Reinforcement Learning With Function Approximation for Traffic Signal Control

Data-Driven Intelligent Transportation Systems: A Survey

Data-intensive applications, challenges, techniques and technologies: A survey on Big Data

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

From model-based control to data-driven control: Survey, classification and perspective

A Review of Fault Detection and Diagnosis for the Traction System in High-Speed Trains

Impact of Residential Street Design on Fuel Consumption

Traffic Flow Prediction With Big Data: A Deep Learning Approach

A tensor-based method for missing traffic data completion

A modified reinforcement learning algorithm for solving coordinated signalized networks

Modelling journey‐to‐work fuel consumption: a case study of Bayridge subdivision

Reinforcement Learning for True Adaptive Traffic Signal Control