A novel generative adversarial network for improving crash severity modeling with imbalanced data

Article

Characteristics of Rear-End Collisions: A Comparison between Automated Driving System-Involved Crashes and Advanced Driving Assistance System-Involved Crashes

Article

Predicting and explaining parking space sharing behaviors using LightGBM and SHAP with individual heterogeneity considered

Article

Preference-Based Reinforcement Learning for Autonomous Vehicle Control Considering the Benefits of Following Vehicles

Article

Toward better equity: Analyzing travel patterns through a neural network approach in mobility-as-a-service

Article

A Leading Cruise Controller for Autonomous Vehicles in Mixed Autonomy Based on Preference-Based Reinforcement Learning

Conference paper

Analyzing the Effects of Autonomous Vehicles on Human Driving Behavior in VR- enabled Mixed Traffic Simulation Based on Causal Inference

Conference paper

Rebalancing Traffic Crash Data Based on Generative Adversarial Networks for Crash Severity Modeling

Conference paper

Analysis of discretionary lane-changing behaviours of autonomous vehicles based on real-world data

Article

Beyond adaptive cruise control and lane centering control: drivers' mental model of and trust in emerging ADAS technologies

Article

Modeling the Effects of Autonomous Vehicles on Human Driver Car-Following Behaviors Using Inverse Reinforcement Learning

Article

A Comparative Study of Rear-end Collision between ADS- Controlled Vehicles and ADAS-Controlled Vehicles

Conference paper

Exploring Discretionary Lane-changing Behaviors of Autonomous Vehicles Using the Waymo Open Dataset

Conference paper

Rebalancing Traffic Crash Data Based on Generative Adversarial Networks for Crash Severity Modeling

Conference paper

Characterizing car-following behaviors of human drivers when following automated vehicles using the real-world dataset

Article

On the interpretability of machine learning methods in crash frequency modeling and crash modification factor development

Article

Reinforcement Learning based cooperative longitudinal control for reducing traffic oscillations and improving platoon stability

Article

Investigating the Effects of Autonomous Vehicles on Following Human-Driven Vehicles Using Inverse Reinforcement Learning

Conference paper

Modeling Human Driver Behaviors When Following Autonomous Vehicles: An Inverse Reinforcement Learning Approach

Conference paper

Modeling the Effects of Autonomous Vehicles on Human Driver Car-Following Behaviors using Inverse Reinforcement Learning

Conference paper

Sharing the road: how human drivers interact with autonomous vehicles on highways

Conference paper

The Role of Customized MaaS Bundles on Demand Fairness of High- Flexibility Travel Modes: A Machine Learning Approach

Conference paper

Toward Better Equity and Sustainability: A Machine Learning Approach for Travel Pattern Feature Analysis with Mobility-as-a-Service

Conference paper

Applications of machine learning methods in traffic crash severity modelling: current status and future directions

Article

Challenges in credibly estimating the travel demand effects of mobility services

Article

Quantifying and comparing the effects of key risk factors on various types of roadway segment crashes with LightGBM and SHAP

Article

Cooperative Car-Following and Merging: A Novel Merge Control Strategy Considering Cooperative Adaptive Cruise Control and Courtesy

Conference paper

Dampen the stop-and-go traffic with connected and automated vehicles – A deep reinforcement learning approach

Conference paper

Modeling highly imbalanced crash severity data by ensemble methods and global sensitivity analysis

Article

A randomized encouragement experiment to measure the causal effect of shared mobility services on travel behavior and car ownership

Conference paper