There are 4 repositories under traffic-data topic.
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
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】
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。
A City of Austin initative to create a network of traffic sensors built with commodity hardware and open-source software
Random Traffic Data set generator (Default: sends generated data to a Kafka topic)
Grab Challenge - Traffic Management
Computational Transportation Science (CTS) resources for everyone!
A Windows Phone 7 mobile app to quickly check the latest highway and road conditions in your area. See real-time traffic maps with detailed incidents.
Analyzing impacts of traffic incidents on road congestion
Dev Weekly Top Five: A shortlist of our favorite code related finds to hack your development workflow for the week of January, 24th 2020.
Traffic Speed Prediction / Interpolation (1st place submission @ HKUST MSc in Big Data Technology in-class Kaggle Competition)
Utilitiy for converting Flanders "Meten in Vlaanderen" (MIV) traffic data to DATEXII
Visual Traffic Surveillance and Analytics System
Extracting features from novel traffic data modeling technique called Speed Transition Matrix (STM). After the feature extraction, results are evaluated on different machine learning algorithms using labeled STMs.
[work-in-progress] Convolutional neural network for anomaly detection on large road networks
Using time series models to investigate the impact of COVID-19-related transportation shutdowns on Air Quality.
Time Series Forecast of traffic on JetRail
Deep Learning Methods for Traffic Data Classification
Viewing and managing road traffic flow reconstructions using WMS protocol on a GeoServer instance
This series of notebooks have been developed to analyse traffic data from the NSW Traffic Volume Viewer website
An innovative Android app designed to enhance public oversight of traffic law enforcement in Taiwan. Features seamless integration with existing Traffic-Violation-Report-System server for real-time updates and community engagement.