Traffic Signal Violation Detection and Penalty Application System
Aruna Parameswaran1, Debargha Roy2, Tarishi Jauhari3, S. Aarthi4
1Aruna Parameswaran, Department of Computer Science and Engineering, SRM Institute of Science and Technology, Chennai (Tamil Nadu), India.
2Debargha Roy, Department of Computer Science and Engineering, SRM Institute of Science and Technology, Chennai (Tamil Nadu), India.
3Tarishi Jauhari, Department of Computer Science and Engineering, SRM Institute of Science and Technology, Chennai (Tamil Nadu), India.
4S.Aarthi, Department of Computer Science and Engineering, SRM Institute of Science and Technology, Chennai (Tamil Nadu), India.
Manuscript received on 07 April 2019 | Revised Manuscript received on 20 April 2019 | Manuscript published on 30 April 2019 | PP: 903-907 | Volume-8 Issue-6, April 2019 | Retrieval Number: F3771048619/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: This paper explores the use of Radio Frequency (RF) signals to detect vehicles that violate traffic signals. The increasing congestion on the road hinders accurate recognition of traffic intruders and, hence, they are not held accountable. Previous efforts to resolve this issue include the use of Computer Vision (CV) algorithms on traffic surveillance footage to identify vehicle registration numbers, Global Positioning System (GPS) to monitor the movement of the vehicle, and intrusive sensors like magnetometers. Unlike other existing methods, RF signals can be transmitted accurately despite hindrances in line-of-sight, and the cost of construction is relatively less. The proposed methodology involves the transmission of vehicular data through RF signals, picked up by receivers placed on-site. This receiver further filters the intruder data using a detection algorithm, and the necessary action is taken. Additionally, this paper presents a generalized system architecture and examines the implementation of violation detection and penalty notification.
Keyword: Intelligent Transportation System (ITS), Radio Frequency (RF) Signal Detection, Red Light Overrun, Traffic Signal Violation and Penalty.
Scope of the Article: Application of WSN in IoT