Urban Logistic Vehicles with Waste Vision
Pilot in Bruges
How can data be used to optimise circulation of local authority urban logistics vehicles?
- Project: Urban logistics vehicles
- Location: Brugge (Belgium, 118.600 inhabitants)
- Challenge: Optimizing circulation of local authority urban logistics vehicles
- Solution: Provide existing waste bins with a filling-rate-sensor. After analyzing the data it will be possible to optimize the routes of the waste collectors.
As a world-famous tourist destination, hosting over 5 million visitors a year, cleanliness of public spaces is extremely important for the city of Bruges. However, currently municipal departments have no real time view on the status of garbage cans and whether they are full or not. This means it is difficult for the waste management team to improve collection operations. Additionally, there is no routing management system, which decreases staff efficiency. The city also lacks an integrated view of how waste is organized and no mechanism is in place to define when and where an intervention on cleanliness facilities is needed and justified.
Organising more efficient circulation of urban logistics vehicles to run on the most effective times and routes is key for any city in order to improve efficient and sustainable circulation and reduction of logistics traffic in the city.
Waste Vision (Bwaste International) will optimise the waste collection for street litter bins in the city of Bruges with higher services by using sensors in street litter bins. Their patented sensors are based on radar technololgy and will measure how full litter bins are.
According to Waste Vision, radar sensor technology is more precise and the best for measuring the waste level in public litter bins as these sensors can look through a plastic bag and can look under an angle up to 120 degrees, equipped with GPS and NFC, this sensor can be used for every type of collection and measure every type of waste, liquids, everything which is a container or box.
Their intuitive and intelligent software will analyse all measurements and will predict when bins need to be emptied. With an automatic planning, routes for efficient driving paths will be made and drivers will be guided through these routes with a mobile navigation application.
The intelligent software not only gives a correct view of real time filling rates of all the equiped bins, but is also a learning system. This means that after enough historical data is collected, the system will be able to predict when which bins will be full. This translates to an intuitive planning tool, which can take into account working schedules and holidays.
At the current stage in the pilot, the target area, the location and the meaurements of the bins have been defined and inputted in the platform. The platform/dashboard is ready to receive data. City workers are measuring current workhours, emptying rates and kilometers driven, so an accurate evaluation can be made of the effects of the solution.The devices are going to be installed within the next month (30 day delay deu to current corona-related circumstances), after which city workers will be educated on the use of the planning tool and the overall dashboard.