Combining RFID and image-based vehicle identification data to detect illegal vehicles

Abstract

Effective road law enforcement is a vital part of transportation systems. Escalating traffic congestion and widespread illegal road usage pose fresh hurdles for law enforcement systems. An intelligent law enforcement system that aims to reduce illegal road use must enable immediate intervention on a tactical level without disrupting the flow of legal vehicles. To achieve a fast tactical response, strategic level information, such as location and identity, is required to ensure law enforcement officials are in the right place at the right time. This paper presents a system that equips authorities with the right information to act against illegal road users while maintaining normal flow of traffic. The proposed system improves upon existing solutions by combining Radio Frequency Identification (RFID) and Computer Vision (CV) data to detect and identify illegal vehicles. The authorities can leverage this information to identify and remove such vehicles from the road without affecting the legal road user's experience. This paper will investigate the performance criteria for such a system within a real-world environment and will determine which combination of data fields can enable accurate vehicle identification within a practical setup. Practical measurements were performed to verify that theoretical requirements can be achieved in practice.