Information about waste collection times - Datacity

Implemented

Information about waste collection times

Home > Challenges > Information about waste collection times

Backgrounder


How to inform users, building caretakes and companies handling waste bins exactly when the waste collection truck will be coming by?

Almost 500 trucks pull out of waste processing facilities to collect rubbish on the streets of Paris every day, but bins cluttering public areas (pavements, entrance halls, etc.) are still a common sight, either because the trucks have not yet emptied them or because nobody has returned them to storage.

 

Paris City Council regulations state that bins mustn’t be taken outdoors more than an hour before collection and must be removed from the pavement 15 minutes after collection. But these rules are unfortunately hard to enforce without reliable information about when exactly the trucks will drive by.

 

Information about when trucks will collect waste is difficult to find today, and any available information is seldom accurate. As a result, companies tasked with carting bins out onto the pavement and back into buildings sometimes need to return to the buildings time and again on collection days because the truck is running late.

Corporates

Startups

  • Use case and experimentation field

  • Data sets

  • Business opportunities

  • Results

Two key technical details to understand how the system works:

 

All bins in Paris have microchips that trucks read when they empty them. This system provides accurate statistics (bin number, collection time and GPS coordinates). All trucks have GPS systems providing real-time updates on their location.

 

Possible solutions:

 

  • – Cross-reference bin collection logs with other data ( dates, weather conditions, etc…) to narrow down waste collection timeframes.
  • – Use geolocation and digital collection routes to inform users that the waste collection
  • – trucks will be driving by soon

 

Informing users that the truck will be arriving soon involves retrieving their addresses and contact details if they have signed up for notifications. The startup will be allowed to use Suez’s existing site, MonServiceDechets, which includes an interface for users to register and sends them alerts based on their address.

The partners can supply the following:

 

  • – Data about the bins on a collection round (bin number, collection date and time, GPS location)
  • – Truck GPS coordinates (real-time and route log)
  • – Digital collection routes

The solution needs to be a win-win for all the partners:

 

  • For the startup: an opportunity to develop a new product and new expertise, which for example Suez and Paris City Council may endorse to support subsequent marketing

 

  • For Suez and other business partners: an opportunity to develop a novel and differentiating service

 

  • For Paris City Council: an opportunity to provide users, building caretakers and service providers with more accurate information, to keep pavements bin-free for longe

All bins are now equipped with a microchip that collects the exact waste collection times.

 

Craft.ai used its artificial intelligence models to learn out of these millions of events and forecast waste collection times at each address. SUEZ’s platform Monservicedechets.com was then used to register the end user to forecasted collection times and text notifications in case of issues.

 

The solution and text message notification services have been activated in the 14th district and adopted by dozens of end users.

 

• Prediction interval reduced to 2 hour with a 95% certainty instead of a 4 hours interval on average
• 300 000 events analyzed
• 440 000 bins in Paris
• 3 000 tons of waste collected every day in Paris

Partner's Experts


Romain Fouques


Product Manager Information Systems
Suez

Régis Leroux


Waste Management Expert
Paris City Council