UCTB (Urban Computing Tool Box)

Urban Computing Tool Box is a package providing urban datasets, spatial-temporal prediction models, and visualization tools for various urban computing tasks, such as traffic prediction, crowd flow prediction, ridesharing demand prediction, etc.

UCTB is a flexible and open package. You can use the data we provided or use your data, and the data structure is well stated in the tutorial section.

News

2021-11: Our paper on UCTB, entitled 'Exploring the Generalizability of Spatio-Temporal Traffic Prediction: Meta-Modeling and an Analytic Framework', has been accepted by IEEE TKDE! [IEEE Xplore][arXiv]

2023-06: We have released a technical report entitled 'UCTB: An Urban Computing Tool Box for Spatiotemporal Crowd Flow Prediction', introducing the design and implementation principles of UCTB. [arXiv]

Urban Datasets

UCTB releases a public dataset repository including the following applications:

We provide detailed documents about how to build and how to use these datasets.

Prediction Models

Currently, the package supports the following models: (This toolbox is constructed based on some open-source repos. We appreciate these awesome implements. See more details).

Visualization Tool

The Visualization tool integrates visualization, error localization, and error diagnosis. Specifically, it allows data to be uploaded and provides interactive visual charts to show model errors, combined with spatiotemporal knowledge for error diagnosis.

Welcome to visit the website for a trial!

Installation

UCTB toolbox may not work successfully with the upgrade of some packages. We thus encourage you to use the specific version of packages to avoid unseen errors. To avoid potential conflict, we highly recommend you install UCTB vis Anaconda or use our docker environment. The installation details are in our documents.