Pregled bibliografske jedinice broj: 954492
Comparison of Two Approaches for Preemptive Traffic Light Control
Comparison of Two Approaches for Preemptive Traffic Light Control // Proceedings of 60th International Symposium ELMAR-2018 / Muštra, Mario ; Grgić, Mislav ; Zovko-Cihlar, Branka ; Vitas, Dijana (ur.).
Zagreb: Fakultet elektrotehnike i računarstva Sveučilišta u Zagrebu, 2018. str. 57-62 doi:10.23919/ELMAR.2018.8534608 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 954492 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Comparison of Two Approaches for Preemptive Traffic Light Control
Autori
Miletić, Mladen ; Kapusta, Borna ; Ivanjko, Edouard
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of 60th International Symposium ELMAR-2018
/ Muštra, Mario ; Grgić, Mislav ; Zovko-Cihlar, Branka ; Vitas, Dijana - Zagreb : Fakultet elektrotehnike i računarstva Sveučilišta u Zagrebu, 2018, 57-62
ISBN
978-953-184-244-0
Skup
60th International Symposium ELMAR-2018
Mjesto i datum
Zadar, Hrvatska, 16.09.2018. - 19.09.2018
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Intelligent transport systems ; Preemptive traffic light control ; Fuzzy logic ; Microscopic traffic simulation ; Urban intersections
Sažetak
By implementing preemptive traffic light control systems in urban areas it is possible to reduce the travel time of specific groups of vehicles such as emergency vehicles. In this paper, two approaches for preemptive traffic light control are compared by applying a microscopic simulation model. The first approach uses fixed values of vehicle arrival time and queue lengths thresholds while the second is fuzzy logic based and hence more adaptive. Both approaches are tested in six different scenarios with an use case consisting of a simulated isolated intersection based on real traffic data. Analysis of the results shows that the travel time of emergency vehicles can be reduced by up to 24% in heavily congested conditions with a slight edge given to the fuzzy logic based approach. Both approaches show negligible negative effects on the total travel times of all vehicles in the network.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika, Računarstvo, Tehnologija prometa i transport
Napomena
IEEE Catalog Nr.: CFP18825-PRT
POVEZANOST RADA
Projekti:
KK.01.1.1.01.0009 - Napredne metode i tehnologije u znanosti o podatcima i kooperativnim sustavima (EK )
Ustanove:
Fakultet prometnih znanosti, Zagreb
Citiraj ovu publikaciju:
Časopis indeksira:
- Web of Science Core Collection (WoSCC)
- Conference Proceedings Citation Index - Science (CPCI-S)
- Scopus