In this paper, the application of UHF RFID in automatic vehicles identification is studied by the means of a new simulation framework. The system under study consists of the stationary readers with antennas mounted over the road lanes and vehicles license plates equipped with passive EPC Class 1 Generation 2 UHF RFID tags. The simulation includes protocol settings, antennas parameters, and propagation media conditions. Propagation analysis considers Doppler shift to compute the path loss of moving tags properly. The estimations of an inventory round duration, the number of rounds the tag participates in and the tag identification probability are provided. The paper presents vehicles identification probabilities computed for different protocol settings and movement speeds. In particular, it was shown that a vehicle could be identified with 0.9 probability by EPC values only when the vehicle speed is 120 km/h or even more. If the vehicle is identified with both EPC and TID banks values, the same 0.9 probability is achievable when the vehicle speed is under 90 km/h. The results of the simulation coincide with the experiment results involving the city buses.

In this paper, we present the results of a study of a priority multi-server queuing system with heterogeneous customers arriving according to a marked Markovian arrival process (MMAP), phase-type service times (PH), and a queue with finite capacity. Priority traffic classes differ in PH distributions of the service time and the probability of joining the queue, which depends on the current length of the queue. If the queue is full, the customer does not enter the system. An analytical model has been developed and studied for a particular case of a queueing system with two priority classes. We present an algorithm for calculating stationary probabilities of the system state, loss probabilities, the average number of customers in the queue, and other performance characteristics for this particular case. For the general case with K priority classes, a new method for assessing the performance characteristics of complex priority systems has been developed, based on a combination of machine learning and simulation methods. We demonstrate the high efficiency of the new method by providing numerical examples.

The article describes design concepts of a novel application platform for vehicles identification and traffic rules violations registration. The platform adopts different equipment including RFID-readers, video-cameras and speed-radars. The platform supports both wired and wireless interfaces for data transmission and can provide police stations with up to date data about traffic rules violators. Design background and key features of the platform are presented. We also discuss the platform internal structure, key functional elements and protocols. Finally, we provide some results on testing the system and its key components.

Efficiency of broadly used camera-based traffic law enforcement systems depends on weather conditions. Radiofrequency identification (RFID) technology may increase these systems efficiency. It is required to integrate many different camera-based systems with RFID readers to implement the RFID technology in traffic law enforcement. The distributed application platform controlling all the RFID readers and easing the task of RFID readers integration is presented in this paper. The distributed platform consists of different components allowing to read tags, filter and transform them into the license plates numbers, manage readers from a single administrator console and connect to the system from police cars or control centres. The system allows to use various EPC Class 1 Generation 2 RFID radio modules and can seamlessly interconnect hundreds of RFID-readers. The large-scale experiment project of implementing RFID-based vehicle identification technology running in Kazan city, Russia, is also described.