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Pregled bibliografske jedinice broj: 1232041

Impact of Connected Vehicles on Learning based Adaptive Traffic Control Systems

Miletić, Mladen; Čakija, Dino; Vrbanić, Filip; Ivanjko, Edouard
Impact of Connected Vehicles on Learning based Adaptive Traffic Control Systems // Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
Prag, Češka Republika: Institute of Electrical and Electronics Engineers (IEEE), 2022. str. 3311-3316 doi:10.1109/smc53654.2022.9945071 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)

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Naslov
Impact of Connected Vehicles on Learning based Adaptive Traffic Control Systems

Autori
Miletić, Mladen ; Čakija, Dino ; Vrbanić, Filip ; Ivanjko, Edouard

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics / - : Institute of Electrical and Electronics Engineers (IEEE), 2022, 3311-3316

ISBN
978-166545258-8

Skup
2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC)

Mjesto i datum
Prag, Češka Republika, 09.10.2022. - 12.10.2022

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Intelligent Transportation Systems ; Reinforcement Learning ; Connected Vehicles ; Adaptive Traffic Signal Control

Sažetak
Adaptive Traffic Signal Control (ATSC) systems can be implemented to reduce travel times at urban intersections by changing the signal program according to real-time traffic situations. Modern approaches to ATSC are based on Reinforcement Learning (RL) which can allow the controller to learn the control policy independently. By including the concept of Connected Vehicles (CVs), the RL-based ATSC system can use data gathered from CVs instead of traditional traffic sensors. In this paper, the impact of varying CV penetration rate on RL-based ATSC is implemented and evaluated in a simulated environment. Obtained results show that with a sufficient CVs penetration rate the RL-based ATSC systems can significantly reduce the delay of all vehicles in the traffic network.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo, Tehnologija prometa i transport



POVEZANOST RADA

Projekti:

HRZZ-IP-2020-02-5042 - Razvoj sustava zasnovanih na učećim agentima za unaprijeđenje upravljanja prometom u gradovima (DLASIUT) (Ivanjko, Edouard, HRZZ - 2020-02) ( CroRIS)

Ustanove:
Fakultet prometnih znanosti, Zagreb

Profili:

Avatar Url Edouard Ivanjko (autor)

Avatar Url Dino Čakija (autor)

Avatar Url Filip Vrbanić (autor)

Avatar Url Mladen Miletić (autor)

Poveznice na cjeloviti tekst rada:

doi ieeexplore.ieee.org

Citiraj ovu publikaciju:

Miletić, Mladen; Čakija, Dino; Vrbanić, Filip; Ivanjko, Edouard
Impact of Connected Vehicles on Learning based Adaptive Traffic Control Systems // Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
Prag, Češka Republika: Institute of Electrical and Electronics Engineers (IEEE), 2022. str. 3311-3316 doi:10.1109/smc53654.2022.9945071 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
Miletić, M., Čakija, D., Vrbanić, F. & Ivanjko, E. (2022) Impact of Connected Vehicles on Learning based Adaptive Traffic Control Systems. U: Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics doi:10.1109/smc53654.2022.9945071.
@article{article, author = {Mileti\'{c}, Mladen and \v{C}akija, Dino and Vrbani\'{c}, Filip and Ivanjko, Edouard}, year = {2022}, pages = {3311-3316}, DOI = {10.1109/smc53654.2022.9945071}, keywords = {Intelligent Transportation Systems, Reinforcement Learning, Connected Vehicles, Adaptive Traffic Signal Control}, doi = {10.1109/smc53654.2022.9945071}, isbn = {978-166545258-8}, title = {Impact of Connected Vehicles on Learning based Adaptive Traffic Control Systems}, keyword = {Intelligent Transportation Systems, Reinforcement Learning, Connected Vehicles, Adaptive Traffic Signal Control}, publisher = {Institute of Electrical and Electronics Engineers (IEEE)}, publisherplace = {Prag, \v{C}e\v{s}ka Republika} }
@article{article, author = {Mileti\'{c}, Mladen and \v{C}akija, Dino and Vrbani\'{c}, Filip and Ivanjko, Edouard}, year = {2022}, pages = {3311-3316}, DOI = {10.1109/smc53654.2022.9945071}, keywords = {Intelligent Transportation Systems, Reinforcement Learning, Connected Vehicles, Adaptive Traffic Signal Control}, doi = {10.1109/smc53654.2022.9945071}, isbn = {978-166545258-8}, title = {Impact of Connected Vehicles on Learning based Adaptive Traffic Control Systems}, keyword = {Intelligent Transportation Systems, Reinforcement Learning, Connected Vehicles, Adaptive Traffic Signal Control}, publisher = {Institute of Electrical and Electronics Engineers (IEEE)}, publisherplace = {Prag, \v{C}e\v{s}ka Republika} }

Časopis indeksira:


  • Scopus

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