Smart Loading Zone Monitoring in Trondheim

Loading bays face increasing pressure as e-commerce grows, with parcel deliveries expected to rise 78% by 2030. Delivery drivers often spend up to 40% of their time searching for legal parking spaces and they contribute to up to 30% of city congestion. In cities like London, 40–60% of loading occurs in non-designated areas, causing safety risks and traffic disruption. Poor curbside management also contributes significantly to CO₂ emissions and costs logistics providers billions annually across Europe. These challenges highlight the urgent need for smarter, data-driven approaches to manage urban loading zones efficiently and sustainably.

This six-month pilot aims to assess the viability of monitoring loading bay occupancy in Trondheim, Norway, through the deployment of a real-time monitoring system for city centre loading zones. The system provided by Digiflec Ltd, known as the Connected Intelligent Infrastructure Monitoring System (CiiM), uses 3D Light Detection and Ranging (LiDAR) sensors and AI analytics to monitor bay occupancy, vehicle types, traffic flow and pedestrian activity with high precision. CiiM offers a scalable and non-intrusive solution, delivering AI-enhanced insights through an interactive dashboard, which makes it a competitive and novel tool in the smart city space. The primary objective is to address the growing challenges of urban congestion, emissions and inefficient last mile delivery, by using digital technologies that provide accurate loading bay occupancy data to municipal authorities and logistics providers. This empowers better planning, reduces illegal parking, supports compliance enforcement, and enhances city centre accessibility and useability.  Data will be collected in October and November 2025, and will comply with the General Data Protection Regulations (GDPR).