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.
