Evidence map›Paper›PMID 32751336›Full record

ArticleSensors (Basel, Switzerland)2020

Dynamic RFID Identification in Urban Traffic Management Systems.

Bartosz Pawłowicz, Bartosz Trybus, Mateusz Salach, Piotr Jankowski-Mihułowicz

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Bartosz PawłowiczDepartment of Electronic and Telecommunications Systems, Rzeszów University of Technology, Wincentego Pola 2, 35-959 Rzeszów, Poland.ORCID 0000-0001-9469-2754
Bartosz TrybusDepartment of Computer and Control Engineering, Rzeszow University of Technology, 35-959 Rzeszow, Poland.ORCID 0000-0002-4588-3973
Mateusz SalachDepartment of Complex Systems, Rzeszow University of Technology, 35-959 Rzeszow, Poland.ORCID 0000-0002-9199-3460
Piotr Jankowski-MihułowiczDepartment of Electronic and Telecommunications Systems, Rzeszów University of Technology, Wincentego Pola 2, 35-959 Rzeszów, Poland.ORCID 0000-0001-7396-807X

Funding

This project is financed by the Minister of Science and Higher Education of the Republic of Poland within the "Regional lnitiative of Excellence" program for years 2019 - 2022. Project number 027/RID/2018/19, amount granted 11 999 900 PLN. 027/RID/2018/19
6 · The paper itself

Abstract

The paper covers the application of Radio Frequency IDentification (RFID) technology in road traffic management with regard to vehicle identification. Various infrastructure configurations for Automated Vehicle Identification (AVI) have been presented, including configurations that can be used in urban traffic as part of the Smart City concept. In order to describe the behavior of multiple identifications of moving vehicles, an operation model of the dynamic identification using RFID is described. While it extends the definition of the correct work zone, this paper introduces the concept of dividing the zone into sections corresponding to so-called inventory rounds. The system state is described using a set of matrices in which unread, read, and lost transponders are recorded in subsequent rounds and sections. A simplified algorithm of the dynamic object identification system was also proposed. The results of the simulations and lab experiments show that the efficiency of mobile object identification is conditioned by the parameters of the communication protocol, the speed of movement, and the number of objects.

Indexed as

dynamic identificationRFIDtraffic management

Identifiers

PMID32751336
PMCPMC7436033

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.