This post presents the results of a student project carried out by the following group: Pierrick Causeret, Humbert de Chastellux, Paul Enjalbert and Othman Ouhaddou.

Introduction

This project is a follow-up of last year’s project Shade-optimized routing paths for pedestrians which introduced a shade routing calculator for OSM. Our objective was to make this project available on mobile.

Our github repository

Choosing an App

We first had to choose an app or website to work on. We wanted something easy to publish for us and easy to install for potential users. It also needed to work on both Android and iOS. This excluded all apps that didn’t have plugins or ways to customize them without editing the core code. With all those constraints, we settled on OsmAnd.

Creating the shade data

The full pipeline integrates the previous project, which is the calculation of the shade percentage for each way. This information is then added in the .pbf file as a tag, and then converted to .obf for the app.

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This post is the result of a student project. The work was done by the following group of students: Alice Rey, Jihene Haj Hamouda, Yahia Heni, Mohammed El Mehdi Alaoui, Kaies Mhadhbi.

Try our online demonstration to find your own shade-optimized route! Discover how we improve pedestrian comfort during hot days by prioritizing shaded paths. (demo restricted to the Nantes Area)

Introduction

This project focuses on enhancing pedestrian routing in OpenStreetMap (OSM) by incorporating shade into route computations. Exposure to direct sunlight significantly affects pedestrian comfort, especially during hot weather, making shaded routes preferable even if slightly longer. Despite this importance, existing OSM data related to shade has typically been qualitative and limited in precision. To address this, we developed and implemented two complementary methods to integrate detailed shading information into OSM-based routing engines like Graphhopper:

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