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Pregled bibliografske jedinice broj: 1212502

Intersection Traffic State Estimation using Speed Transition Matrix and Fuzzy-based Systems

Majstorović, Željko; Tišljarić, Leo; Ivanjko, Edouard; Carić, Tonči
Intersection Traffic State Estimation using Speed Transition Matrix and Fuzzy-based Systems // Proceedings of the 19th International Conference on Informatics in Control, Automation and Robotics - ICINCO / Gini, Giuseppina ; Nijmeijer, Henk ; Burgard, Wolfram ; Filev, Dimitar (ur.).
Lisabon, 2022. str. 193-200 doi:10.5220/0011275500003271 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)

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Naslov
Intersection Traffic State Estimation using Speed Transition Matrix and Fuzzy-based Systems

Autori
Majstorović, Željko ; Tišljarić, Leo ; Ivanjko, Edouard ; Carić, Tonči

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

Izvornik
Proceedings of the 19th International Conference on Informatics in Control, Automation and Robotics - ICINCO / Gini, Giuseppina ; Nijmeijer, Henk ; Burgard, Wolfram ; Filev, Dimitar - Lisabon, 2022, 193-200

ISBN
978-989-758-585-2

Skup
19th International Conference on Informatics in Control, Automation and Robotics (ICINCO)

Mjesto i datum
Lisabon, Portugal, 14.07.2022. - 16.07.2022

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Intersection State Estimation, Bottleneck Detection, Connected Vehicles, Fuzzy-based System, Speed Transition Matrix.

Sažetak
Urban traffic congestion is a significant problem for almost every city, affecting various aspects of life. Besides increasing travel time, congestion also affects air and life quality causing economic losses. The construction of infrastructure to solve congestion problems is not always feasible, and, at the end, attracts only additional traffic demand. Thus, a better approach for solving the problem of city congestion is by optimal management of the existing infrastructure. Timely detection of traffic congestion on the road level can prevent congestion formation and even improve road network capacity when used for appropriate traffic control actions. Detecting congestion is a complex process that depends on available traffic data. In this paper, for traffic state estimation, including congestion level, at the intersection level, a new method based on Speed Transition Matrix and Fuzzy-Based System is presented. The proposed method utilizes the Connected Vehicle environment. It is tested on a model of an isolated intersection made in SUMO simulation software based on real-world traffic data. The validation results confirm the successful detection of traffic state (congestion level) at intersections.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika, 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)
--KK.01.1.1.01.009 - Napredne metode i tehnologije u znanosti o podatcima i kooperativnim sustavima (DATACROSS) (Šmuc, Tomislav; Lončarić, Sven; Petrović, Ivan; Jokić, Andrej; Palunko, Ivana) ( CroRIS)

Ustanove:
Fakultet prometnih znanosti, Zagreb

Profili:

Avatar Url Tonči Carić (autor)

Avatar Url Željko Majstorović (autor)

Avatar Url Edouard Ivanjko (autor)

Avatar Url Leo Tišljarić (autor)

Poveznice na cjeloviti tekst rada:

doi www.scitepress.org

Citiraj ovu publikaciju:

Majstorović, Željko; Tišljarić, Leo; Ivanjko, Edouard; Carić, Tonči
Intersection Traffic State Estimation using Speed Transition Matrix and Fuzzy-based Systems // Proceedings of the 19th International Conference on Informatics in Control, Automation and Robotics - ICINCO / Gini, Giuseppina ; Nijmeijer, Henk ; Burgard, Wolfram ; Filev, Dimitar (ur.).
Lisabon, 2022. str. 193-200 doi:10.5220/0011275500003271 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
Majstorović, Ž., Tišljarić, L., Ivanjko, E. & Carić, T. (2022) Intersection Traffic State Estimation using Speed Transition Matrix and Fuzzy-based Systems. U: Gini, G., Nijmeijer, H., Burgard, W. & Filev, D. (ur.)Proceedings of the 19th International Conference on Informatics in Control, Automation and Robotics - ICINCO doi:10.5220/0011275500003271.
@article{article, author = {Majstorovi\'{c}, \v{Z}eljko and Ti\v{s}ljari\'{c}, Leo and Ivanjko, Edouard and Cari\'{c}, Ton\v{c}i}, year = {2022}, pages = {193-200}, DOI = {10.5220/0011275500003271}, keywords = {Intersection State Estimation, Bottleneck Detection, Connected Vehicles, Fuzzy-based System, Speed Transition Matrix.}, doi = {10.5220/0011275500003271}, isbn = {978-989-758-585-2}, title = {Intersection Traffic State Estimation using Speed Transition Matrix and Fuzzy-based Systems}, keyword = {Intersection State Estimation, Bottleneck Detection, Connected Vehicles, Fuzzy-based System, Speed Transition Matrix.}, publisherplace = {Lisabon, Portugal} }
@article{article, author = {Majstorovi\'{c}, \v{Z}eljko and Ti\v{s}ljari\'{c}, Leo and Ivanjko, Edouard and Cari\'{c}, Ton\v{c}i}, year = {2022}, pages = {193-200}, DOI = {10.5220/0011275500003271}, keywords = {Intersection State Estimation, Bottleneck Detection, Connected Vehicles, Fuzzy-based System, Speed Transition Matrix.}, doi = {10.5220/0011275500003271}, isbn = {978-989-758-585-2}, title = {Intersection Traffic State Estimation using Speed Transition Matrix and Fuzzy-based Systems}, keyword = {Intersection State Estimation, Bottleneck Detection, Connected Vehicles, Fuzzy-based System, Speed Transition Matrix.}, publisherplace = {Lisabon, Portugal} }

Časopis indeksira:


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

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