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astgcn

Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting (ASTGCN) AAAI 2019

dcrnn

Implementation of Diffusion Convolutional Recurrent Neural Network in Tensorflow

deeprl

Deep Reinforcement Learning Lab, a platform designed to make DRL technology and fun for everyone

ge-gan

GE-GAN: A novel deep learning framework for road traffic state estimation

git-task

javaguide

「Java学习+面试指南」一份涵盖大部分 Java 程序员所需要掌握的核心知识。准备 Java 面试，首选 JavaGuide！

pathplanning

Common used path planning algorithms with animations.

reinforcement-learning-with-tensorflow

Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学

stgcn-pytorch

Paper:Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting . Implementation of spatio-temporal graph convolutional network with PyTorch

stgcn-pytorch-1

PyTorch implementation of STGCN

stgcn_ijcai-18

Spatio-Temporal Graph Convolutional Networks

stsgcn

AAAI 2020. Spatial-Temporal Synchronous Graph Convolutional Networks: A New Framework for Spatial-Temporal Network Data Forecasting

sumo

Eclipse SUMO is an open source, highly portable, microscopic and continuous traffic simulation package designed to handle large networks. It allows for intermodal simulation including pedestrians and comes with a large set of tools for scenario creation.

t-gcn

Temporal Graph Convolutional Network for Urban Traffic Flow Prediction Method

trafficindex

TTI ,Smart Transportation Industry Standard

workflow

C++ Parallel Computing and Asynchronous Networking Engine