Implementation of Diffusion Convolutional Recurrent Neural Network in Tensorflow

This project is a collection of recent research in areas such as new infrastructure and urban computing, including white papers, academic papers, AI lab and dataset etc.

This repo includes introduction, code and dataset of our paper Deep Sequence Learning with Auxiliary Information for Traffic Prediction (KDD 2018).

Traffic data processing tools in LibCity

Code for paper "EasyDGL: Encode, Train and Interpret for Continuous-time Dynamic Graph Learning"

Modelling marine traffic in the ice-covered Baltic Sea using AIS data

NGSIM I-80 dataset Leader - Follower Vehicle Trajectory Pairs

Organize some grid-based traffic flow datasets, mainly New York City bicycle and taxi data

Data sources used by the Big Data Innovation Team

Road traffic data for Lebanon collected between 2014 and 2019.

[PAKDD 2021] SST-GNN: Simplified Spatio-temporal Traffic forecasting model using Graph Neural Network

😁【北京市优秀毕业论文】基于车辆轨迹时空数据的城市热点预测模型研究【Urban hot spot prediction model based on spatiotemporal data of vehicle trajectory】

Content development for Digitraffic web pages.

Traffic Congestion Prediction System using Data Mining

Final Year Project in SEU, 2021.06

交通数据是典型的多周期时间序列，我通过MSARIMA模型和DS Holt-Winters指数平滑模型对数据的周期性信息进行拟合和提取，实现车流速度的预测。

Traffic Counting using YOLO V5

dataviz is a customizable heatmap visualization of traffic data provided by Ubiwhere

Computational Transportation Science (CTS) resources for everyone!

A City of Austin initative to create a network of traffic sensors built with commodity hardware and open-source software