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Pregled bibliografske jedinice broj: 892730

Preemptive Traffic Light Control based on Vehicle Tracking and Queue Lengths


Kapusta, Borna; Miletić, Mladen; Ivanjko, Edouard; Vujić, Miroslav
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)


CROSBI ID: 892730 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

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

Profili:

Avatar Url Mladen Miletić (autor)

Avatar Url Edouard Ivanjko (autor)

Avatar Url Miroslav Vujić (autor)

Poveznice na cjeloviti tekst rada:

doi

Citiraj ovu publikaciju:

Kapusta, Borna; Miletić, Mladen; Ivanjko, Edouard; Vujić, Miroslav
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)
Kapusta, B., Miletić, M., Ivanjko, E. & Vujić, M. (2017) Preemptive Traffic Light Control based on Vehicle Tracking and Queue Lengths. U: Muštra, M., Vitas, D. & Zovko-Cihlar, B. (ur.)Proceedings of ELMAR-2017 doi:10.23919/ELMAR.2017.8124424.
@article{article, author = {Kapusta, Borna and Mileti\'{c}, Mladen and Ivanjko, Edouard and Vuji\'{c}, Miroslav}, year = {2017}, pages = {11-16}, DOI = {10.23919/ELMAR.2017.8124424}, keywords = {Intelligent transport systems, Preemptive traffic light control, Microscopic simulation, Urban intersections}, doi = {10.23919/ELMAR.2017.8124424}, isbn = {978-953-184-230-3}, title = {Preemptive Traffic Light Control based on Vehicle Tracking and Queue Lengths}, keyword = {Intelligent transport systems, Preemptive traffic light control, Microscopic simulation, Urban intersections}, publisher = {Fakultet elektrotehnike i ra\v{c}unarstva Sveu\v{c}ili\v{s}ta u Zagrebu}, publisherplace = {Zadar, Hrvatska} }
@article{article, author = {Kapusta, Borna and Mileti\'{c}, Mladen and Ivanjko, Edouard and Vuji\'{c}, Miroslav}, year = {2017}, pages = {11-16}, DOI = {10.23919/ELMAR.2017.8124424}, keywords = {Intelligent transport systems, Preemptive traffic light control, Microscopic simulation, Urban intersections}, doi = {10.23919/ELMAR.2017.8124424}, isbn = {978-953-184-230-3}, title = {Preemptive Traffic Light Control based on Vehicle Tracking and Queue Lengths}, keyword = {Intelligent transport systems, Preemptive traffic light control, Microscopic simulation, Urban intersections}, publisher = {Fakultet elektrotehnike i ra\v{c}unarstva Sveu\v{c}ili\v{s}ta u Zagrebu}, publisherplace = {Zadar, Hrvatska} }

Časopis indeksira:


  • Web of Science Core Collection (WoSCC)
    • Conference Proceedings Citation Index - Science (CPCI-S)
  • Scopus


Citati:





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