Novel system for the monitoring of in-transit compliance of freight trucks

Compliance enforcement for freight trucks is a non-trivial challenge, as it involves many facets, including safety, security, and environmental impact. Compliance systems relying on static measurements, like static weighbridges and road worthiness centers, cause long delays and add costs to a very competitive industry. This paper describes a novel system that leverages IoT and data analytics to verify in-transit behavioral compliance of truck drivers using the highway between Durban and Johannesburg. It combines GPS tracking, ANPR camera, weigh-in-motion scale, truck-stop and toll plaza data to detect incidents of non-compliance in real time. ANOVA and other statistics techniques are applied to incident data to identify non-compliant drivers, enabling enforcement actions against the minority of drivers causing most non-compliant behavior. Compliance outcomes are accessible through a cloudbased web dashboard, enabling both fleet owners and road authorities to observe behavior and take corrective action in real time.