Stadtmodell von Heilbronn mit leuchtenden Routen

01 AFTERNOON / 01 CITY / YOUR WAY

<HACKATHON/>SMART ROUTES.GREEN MOVES.

Code the last mile. Build faster, cleaner cargo-bike routes for Heilbronn with data, AI and your team.

challenge/readme.md

$ initialize heilbronn_last_mile

Heilbronn last-mile delivery optimization with a shared fleet, CO2 points, and daily return times.

> status: READY_TO_CODE

Develop innovative cargo-bike delivery solutions using real network data, AI and your programming skills.

Teams submit a shared fleet and daily bicycle routes in JSON. Fewer resources rank first; daily return times break ties. Programming experience is required; GitHub Copilot and other AI tools are welcome.

Inspect the dataset

Cargo bikesZero tailpipe emissions

Your stackJSON + algorithms + AI

Primary metricCO2 resource points

01
Load the city
Parse the Heilbronn street network, parcel stations and recipients.
02
Optimize the last mile
Minimize fleet resources, then bring every bicycle home as early as possible.
03
Ship your solution
Validate your JSON, submit it and watch the leaderboard update.

PRIMARY OBJECTIVE

min(bikes + 2 × stations)Select the smallest fleet that completes every delivery day within eight hours.

TIE-BREAKER

min(Σ daily return time)If both values tie, the earlier complete submission wins.

Open leaderboard

04 Home base

Meet at uih!

Urban Innovation Hub, Heilbronn

Ideas, code, food and drinks under one roof.

Supported and organized by

Fraunhofer HNFIZ, Hochschule Heilbronn, Stadt Heilbronn und wissensstadt heilbronn

<HACKATHON/>SMART ROUTES.GREEN MOVES.

Can your team solve the last-mile challenge?

Data in. Routes out. Impact measured.

Load the city

Optimize the last mile

Ship your solution

Use less first. Then get home faster.

Meet at uih!