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Traffic Modelling
Machine learning for transportation data imputation and prediction.
SUMO adaptive traffic signal control - DQN, DDPG, Webster's, Max-pressure, Self-Organizing Traffic Lights
Temporal Graph Convolutional Network for Urban Traffic Flow Prediction Method
This is the repository for the collection of Deep Learning for Traffic Prediction Problems.
This is the repository for the collection of Graph Neural Network for Traffic Forecasting.
[NIPS 2017] InfoGAIL: Interpretable Imitation Learning from Visual Demonstrations
A Simple Example for Imitation Learning with Dataset Aggregation (DAGGER) on Torcs Env
A collection of multi agent environments based on OpenAI gym.
A selection of state-of-the-art research materials on trajectory prediction
Our ECCV 2022 paper Human Trajectory Prediction via Neural Social Physics
Code for "Transformer Networks for Trajectory Forecasting"
Solving synthetic 2d path-planning problems with a convolutional neural network.
MTR: Motion Transformer with Global Intention Localization and Local Movement Refinement, NeurIPS 2022.
Repository for Traffic Accident Benchmark for Causality Recognition (ECCV 2020)
Driver Attention Prediction in Accidental Scenarios
A unified interface to many trajectory forecasting datasets.
This is a list of papers related to traffic agent trajectory prediction.
xingtian is a componentized library for the development and verification of reinforcement learning algorithms
Scalable Multi-Agent RL Training School for Autonomous Driving
[ICCV & CVPR Workshop] Learning-enabled Interactive Prediction and Planning Framework for Autonomous Vehicles
[ACM MM 2020] Uncertainty-based Traffic Accident Anticipation
ScenarioNet: Scalable Traffic Scenario Management System for Autonomous Driving
Multi-Agent Connected Autonomous Driving (MACAD) Gym environments for Deep RL. Code for the paper presented in the Machine Learning for Autonomous Driving Workshop at NeurIPS 2019: