WasteHero - Intelligent Route Optimisation Tool for Municipal Waste Management

The core routing engine first takes into account all container and fleet assets, as well as the user-defined constraints applied to these assets.

This includes vehicle volume capacity and availability, driver permissions and rosters, depot locations and opening hours, container type / vehicle coupling and time intervals and priorities

The core route engine considers all constraints to ensure waste is collected by a suitable vehicle and driver, and deposited to the correct depot location.

The routing engine is capable of considering weight data from your previous operation system. Simply upload your historical container weight data in csv. format and route schedules will be automatically optimised based on your data.

Leverage in-cab technology, sensors and IoT fleet tracking devices to enable data collection for comprehensive route optimisation. Solutions available to enhance route optimisation include:

Mobile In-Cab Technology tracking live route progression, location, emptying times and manual entry of weight data

Smart Bin Sensors to measure container fill-level

Onboard weighing systems to collect container weight information

CAN bus telemetrics system to understand vehicle speed, fuel consumption, driver performance

GPS devices for precise geofencing data, speed, direction of movement, and emptying times (recycling site, depot, container pickups)

By applying machine learning to historical data, collected data and trends, our prediction algorithm can forecast the optimal collection time for containers.

Enhanced AI empowers data-driven recommendations, such as alternate routes during high traffic periods.

WasteHero’s Mobile In-Cab Technology provides drivers with a tool to follow optimised collection routes, whilst collecting valuable data on live route progression.

Align your routing strategy with your organisational strategy. Specify routing optimization parameters from three categories:

1. Service – focused on ensuring customer satisfaction.
2. Economic – focused on reduction of costs.
3. Environmental – focused on reduction of CO2 emissions.

Each category has many sub optimization parameters that can be enabled. You can even apply different optimisation parameters depending on the waste related challenges in particular neighbourhoods.