DDP Traffic Training

Lead Presenters

Maria Sol Tadeo Sebastial Mueller Farhan Reynaldo Hutabarat

Training Description

This session will teach participants to work with Traffic Data from Mapbox and Grab. During the first part of the session, participants will learn about the data and its granularity and how it can be used to enhance a road network with speeds. During the second part of the session we the hands-on

Learning Objectives

1. Learn about Traffic data from Mapbox and Grab.
2. Generate a road network with traffic speeds.
3. Perform an Exploratory Data Analysis on the data.
4. Generate daily Travel Times distributions.

Audience and Prerequisites

• Intended audience: Data Scientists/TTLs
• Prerequisites: domain knowledge, Python basics, GitHub basics
• Access requirements: dataset access, credentials, approvals

Training Materials

• Slide deck: link
• Agenda: link
• Exercises: link
• Reference documentation: link

Repository Contents

The navigation below is automatically generated from docs/_toc.yml:

Getting Started

1. Choose your setup path:
   • GitHub Codespaces (recommended): open the repository on GitHub and create a Codespace. No local clone is required.
   • Local environment: clone this repository to your machine.
2. Install dependencies.
3. Run the notebooks in the suggested order.

See docs/github-codespaces-setup.md for a step-by-step Codespaces setup guide.

Data Use and Privacy

Data shared during this session needs to be deleted once the session comes to an end.

Code of Conduct

This repository follows the Code of Conduct to ensure an inclusive and respectful environment for everyone.

License

This project is licensed under the MIT License together with the World Bank IGO Rider. The Rider is purely procedural: it reserves all privileges and immunities enjoyed by the World Bank, without adding restrictions to the MIT permissions. Please review both files before using, distributing or contributing.