Truckathon

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  Creation of a new plant/POI

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  Visualization of given data

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  Creation of route

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  List of optimized routes with savings data

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  Inbound route visualization

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  Visualization of optimized path

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  Outbound route visualization

Inspiration:

We took inspiration from the Challenge of Holcim Maqer. This project was possibly thanks to the great data they provided and their help.

Challenge:

Revolutionize logistics with an eco-centric approach using live and real data. Reduce empty trips which poses a threat to the environment and wastes time for truck drivers.

Solution:

"Truckathon" - A dynamic system to optimize truck routes, ensuring fewer emissions and efficient deliveries.

Key Features:

1. Smart Route Finder: Adapts using real-time traffic and weather data. (Google Maps)
2. Emission Tracker: Keep track of the CO2 delta between different solutions.
3. Provide efficient itineraries for deliveries.
4. Reduce waste of time and money with optimized and shorter "empty" trips.

Benefits:

• Eco Impact: Majorly reduce emissions.
• Economic: Cut down on fuel and logistic costs.
• Brand Boost: Elevate company's green image.
• Optimize the resources usage for third party truck drivers.

Plan:

1. Data Analysis: Extract key insights from trucking datasets.
2. Prototype: Build an optimization tool using findings.
3. Test & Refine: Simulate, tweak, perfect.

What's next:

• Improve UI
• Load Analyzer: Maximizes truck capacity for fewer trips. (Knapsack problem)
• User private sessions
• Integrate 2 accounts, trucker and logistic center
• Mobile application

Built With

• bigquery
• bun
• cloud-functions
• gcp
• google
• google-maps
• jupyter
• python
• svelte-kit