izpis_h1_title_alt

Pedestrian traffic light control with crosswalk FMCW radar and group tracking algorithm
ID Nimac, Peter (Avtor), ID Krpič, Andrej (Avtor), ID Batagelj, Boštjan (Avtor), ID Gams, Andrej (Avtor)

.pdfPDF - Predstavitvena datoteka, prenos (15,99 MB)
MD5: 3A27AFEE5D87ED830E02623E1C8503AA
URLURL - Izvorni URL, za dostop obiščite https://www.mdpi.com/1424-8220/22/5/1754 Povezava se odpre v novem oknu

Izvleček
The increased mobility requirements of modern lifestyles put more stress on existing traffic infrastructure, which causes reduced traffic flow, especially in peak traffic hours. This calls for new and advanced solutions in traffic flow regulation and management. One approach towards optimisation is a transition from static to dynamic traffic light intervals, especially in spots where pedestrian crossing cause stops in road traffic flow. In this paper, we propose a smart pedestrian traffic light triggering mechanism that uses a Frequency-modulated continuous-wave (FMCW) radar for pedestrian detection. Compared to, for example, camera-surveillance systems, radars have advantages in the ability to reliably detect pedestrians in low-visibility conditions and in maintaining privacy. Objects within a radar’s detection range are represented in a point cloud structure, in which pedestrians form clusters where they lose all identifiable features. Pedestrian detection and tracking are completed with a group tracking (GTRACK) algorithm that we modified to run on an external processor and not integrated into the used FMCW radar itself. The proposed prototype has been tested in multiple scenarios, where we focused on removing the call button from a conventional pedestrian traffic light. The prototype responded correctly in practically all cases by triggering the change in traffic signalization only when pedestrians were standing in the pavement area directly in front of the zebra crossing.

Jezik:Angleški jezik
Ključne besede:FMCW radar, smart traffic light, smart cities, smart mobility, traffic flow optimisation, point cloud, group tracking
Vrsta gradiva:Članek v reviji
Tipologija:1.01 - Izvirni znanstveni članek
Organizacija:FE - Fakulteta za elektrotehniko
FPP - Fakulteta za pomorstvo in promet
Status publikacije:Objavljeno
Različica publikacije:Objavljena publikacija
Leto izida:2022
Št. strani:21 str.
Številčenje:Vol. 22, iss. 5, art. 1754
PID:20.500.12556/RUL-137271 Povezava se odpre v novem oknu
UDK:007.52
ISSN pri članku:1424-8220
DOI:10.3390/s22051754 Povezava se odpre v novem oknu
COBISS.SI-ID:98637315 Povezava se odpre v novem oknu
Datum objave v RUL:09.06.2022
Število ogledov:1232
Število prenosov:180
Metapodatki:XML DC-XML DC-RDF
:
Kopiraj citat
Objavi na:Bookmark and Share

Gradivo je del revije

Naslov:Sensors
Skrajšan naslov:Sensors
Založnik:MDPI
ISSN:1424-8220
COBISS.SI-ID:10176278 Povezava se odpre v novem oknu

Licence

Licenca:CC BY 4.0, Creative Commons Priznanje avtorstva 4.0 Mednarodna
Povezava:http://creativecommons.org/licenses/by/4.0/deed.sl
Opis:To je standardna licenca Creative Commons, ki daje uporabnikom največ možnosti za nadaljnjo uporabo dela, pri čemer morajo navesti avtorja.
Začetek licenciranja:01.03.2022

Sekundarni jezik

Jezik:Slovenski jezik
Ključne besede:radar FMCW, pametni semafor, pametna mesta, pametna mobilnost, optimizacija prometnega toka, oblak točk, skupinsko sledenje

Projekti

Financer:ARRS - Agencija za raziskovalno dejavnost Republike Slovenije
Program financ.:Young researchers
Številka projekta:PR-11324

Financer:ARRS - Agencija za raziskovalno dejavnost Republike Slovenije
Številka projekta:P2-0076
Naslov:Avtomatika, robotika in biokibernetika

Financer:ARRS - Agencija za raziskovalno dejavnost Republike Slovenije
Številka projekta:P2-0246
Naslov:ICT4QoL - Informacijsko komunikacijske tehnologije za kakovostno življenje

Podobna dela

Podobna dela v RUL:
Podobna dela v drugih slovenskih zbirkah:

Nazaj