International Journal of Engineering Practical Research (IJEPR), Volume 5 2016 www.seipub.org/ijepr doi: 10.14355/ijepr.2016.05.001
An Intelligent Management System of Vehicle Violation Based on RFID Electronic License Zhengying Caia*, Shi Liub, Jun Chenc College of Computer and Information technology, China Three Gorges University, Yichang, 443002, China a*
master_cai@163.com, b 1432476945@qq.com, c 917136891 @qq.com
Abstract Traditional vehicle management system is popular all over the world which is based on metal plate and mainly identified by the video and image processing techniques which are found to be less accurate and inefficient. Here, the design scheme of the RFID license management system is introduced including its database construction, detecting processing scheme, and anti‐collision algorithm as well. The proposed scheme can be used to build a more effective license identification system and takes incomparable advantages in anti‐counterfeiting, where every electronic license is based on the unique factory‐curing ID number and the vehicle physical binding. Lastly, the prototype of the proposed system was constructed and tested, and the results showed its great advantages over traditional metal plate management system in solving the violation and identification problem more effectively. Keywords Intelligent Management System, Electronic License, RFID, Mobile Internet, Anti‐Collision Algorithm
Introduction Most governments all the round the world require a registration plate to be attached to both the front and the rear of a vehicle, although some jurisdictions or special vehicle types such as motorboats often need only one plate which is usually attached to the rear of the vehicle. For official identification purposes, traditional optical identification technology (Liu et al., 2013) is necessary and often used. However, the traffic control departments have to deal with a large number of unclear pictures or videos of illegal vehicles every day, where the license plate number is mainly identified by manpower and then is fed into the management system. But the whole workload is very big, easily fatigue and miscalculated (Brandwein et al., 2012). Now RFID provides us a new method to overcome the shortcomings of traditional metal plate (Chen et al., 2012), where RFID is referred to Radio Frequency Identification technology. It originated from the 1990s, went through three stages: electromagnetic induction or electromagnetic propagation mode, non‐contact identification of the target tracking and two‐way data communication in the new automatic identification technology (Ali et al., 2014). For example, Lebrun et al. (2015) put forward a model for managing interactions between tangible and virtual agents on an RFID interactive tabletop in traffic simulation. Electronic identification is an automatic vehicle identification (Slapsinskas et al., 2013) that is based on intelligent management system (Yuji, 2014) and radio frequency identification technology unit. Wang et al. (2015) studied a capture‐aware estimation for large‐scale RFID tags identification. Electronic license system includes a database server, the card issuing terminals, terminal management, display terminals(Ali et al., 2015), and is helpful for the automatic detection, identification, access control and information management of the electronic vehicle license, and other related functions (Negny et al., 2014). For remote real‐time monitoring, a well‐operated channel state and managing process are necessary (Tliro, 2014). Choi et al. (2015) proposed a cluster‐based multi‐polling sequencing algorithm for collecting RFID data in wireless LANs. Yan et al. (2015) presented a memoryless binary query tree based on successive scheme for passive RFID tag collision resolution. However, the collision algorithm should be solved before the application of RFID technology in mass identification of vehicle ID (Reza et al., 2014). In this paper, channel collision algorithm of RFID is also analyzed based on UHF (Yun et al., 2015) to provide a vehicle inspection and intelligent traffic management. The scheme and prototype of proposed intelligent management system are illustrated here.
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