Developing a dynamic geofencing algorithm for HVTT cargo security in road transport

Abstract

Abstract Cargo security is one of the most critical issues in modern logistics. For high-value theft-targeted (HVTT) cargo the driving phase of transportation takes up a major part of thefts. Dozen fleet management solutions based on GNSS positioning were introduced in recent years. Existing tracking solutions barely meet the requirements of TAPA 2020. Map-matching algorithms present valuable ideas on handling GNSS inaccuracy, however, universal map-matching methods are overcomplicated and not suitable for real-time implementation. The dynamic geofencing algorithm presented in this article was developed for the specific purpose of HVTT security. The algorithm is adaptive geometric-based matching (alternately curve-to-curve, point-to-curve, point-to-point). The idea behind the algorithm is to detect and eliminate the atypical matching circumstances - namely if the raw position is registered at one of the exceptions described in the paper. The problem of adaptive cartographic projection is also addressed. The practical value of the proposed algorithm is that the distance between the raw GNSS position and map-matched position can be used as a quantitative security factor. Further development works focus on reducing false alarms caused by GNSS inaccuracy and drift.