Pregled bibliografske jedinice broj: 892730
Preemptive Traffic Light Control based on Vehicle Tracking and Queue Lengths
Preemptive Traffic Light Control based on Vehicle Tracking and Queue Lengths // Proceedings of ELMAR-2017 / Muštra, Mario ; Vitas, Dijana ; Zovko-Cihlar, Branka (ur.).
Zagreb: Fakultet elektrotehnike i računarstva Sveučilišta u Zagrebu, 2017. str. 11-16 doi:10.23919/ELMAR.2017.8124424 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
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Naslov
Preemptive Traffic Light Control based on Vehicle Tracking and Queue Lengths
Autori
Kapusta, Borna ; Miletić, Mladen ; Ivanjko, Edouard ; Vujić, Miroslav
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of ELMAR-2017
/ Muštra, Mario ; Vitas, Dijana ; Zovko-Cihlar, Branka - Zagreb : Fakultet elektrotehnike i računarstva Sveučilišta u Zagrebu, 2017, 11-16
ISBN
978-953-184-230-3
Skup
59th International Symposium ELMAR-2017, Special session Intelligent Transport Systems
Mjesto i datum
Zadar, Hrvatska, 18.09.2017. - 20.09.2017
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Intelligent transport systems, Preemptive traffic light control, Microscopic simulation, Urban intersections
Sažetak
Today it is possible to implement adaptive traffic light control as part of intelligent transport systems with the goal to reduce the respond times of emergency services. This allows preemptive traffic light control in an effort to reduce travel times of emergency vehicles in urban areas and negative effects on the total travel times of all vehicles in the traffic network. In this paper, a new algorithm for preemptive traffic light control is proposed. It is based on emergency vehicle location and intersection queue length data. Using these data the algorithm dynamically adapts the signal program of a signalized intersection. Proposed algorithm is tested in four different scenarios using a realistically simulated isolated intersection as a use case. The analysis of the obtained results reveals that travel times of emergency vehicles can be reduced up to 13 %. In the same time, the negative effects on the total travel time of all vehicles in the network can be reduced or even compensated.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika, Računarstvo, Tehnologija prometa i transport
POVEZANOST RADA
Ustanove:
Fakultet prometnih znanosti, Zagreb
Citiraj ovu publikaciju:
Časopis indeksira:
- Web of Science Core Collection (WoSCC)
- Conference Proceedings Citation Index - Science (CPCI-S)
- Scopus