Project 59 · Smart Cities / Waste Management

Waste Collection Optimization System

Dynamic Fill-Driven Routing With Driver App

Industry
Smart Cities / Waste Management
Services
IoT Sensors Routing Algorithms SaaS
TRL
3 → 8
Duration
6 months
Technologies
Fill-level sensors route optimization mobile apps
Bin sensor cross-section + city fill-level map
Figure 1 — Bin sensor cross-section and the city-wide fill-level map it produces.
Static (28 stops) vs dynamic (13 stops) route side-by-side
Figure 2 — Static twenty-eight-stop route versus dynamic thirteen-stop route, head to head.
Three-screen mobile workflow (route / next-stop / exception)
Figure 3 — Driver app showing route, next-stop detail, and exception-handling screens.
Real-world Waste Collection Optimization deployment
Figure 4 — Real-world deployment in service with a municipal collection operator.

Project background

Waste collection routes are traditionally fixed regardless of actual bin fullness, resulting in wasted trips and missed overflows. The client wanted dynamic routing based on real fill data.

Challenge

Designing fill sensors robust enough for real waste containers, producing route plans drivers would actually follow, and integrating with existing operations rather than disrupting them.

Approach & solution

We deployed ruggedized fill-level sensors on containers, feeding into a routing engine that produces daily plans respecting driver shifts, vehicle capacity, and priority zones. A driver mobile app provides turn-by-turn execution and completion tracking.

Results & benefits

Pilot routes produced fewer trips for equivalent service levels, and overflow incidents dropped because high-priority containers were consistently picked up on time. Drivers found the app easier than paper routes.

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