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Pregled bibliografske jedinice broj: 1159648

Motorway Bottleneck Detection Using Speed Transition Matrices


Tišljarić, Leo; Vrbanić, Filip; Ivanjko, Edouard; Carić, Tonči
Motorway Bottleneck Detection Using Speed Transition Matrices // 6th Int'l Workshop on Data Science (IWDS 2021)
Zagreb, Hrvatska, 2021. str. 1-3 (predavanje, međunarodna recenzija, prošireni sažetak, znanstveni)


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Naslov
Motorway Bottleneck Detection Using Speed Transition Matrices

Autori
Tišljarić, Leo ; Vrbanić, Filip ; Ivanjko, Edouard ; Carić, Tonči

Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, prošireni sažetak, znanstveni

Skup
6th Int'l Workshop on Data Science (IWDS 2021)

Mjesto i datum
Zagreb, Hrvatska, 24.11.2021

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Speed Transition Matrices ; Bottleneck Detection ; Anomaly Detection

Sažetak
Motorway bottlenecks are commonly occurring in developed countries with increased commercial activities. As opposed to the traffic jam, the source of the bottleneck is often a result of a specific traffic situation like traffic accidents, sudden breaks, or bad road design. They could be described as a sudden capacity drop that creates congestion on the part of the motorway that propagates in the downstream flow. More formally, free flow (normal traffic flow) could be described with equation $q_{; ; in}; ; \approx q_{; ; out}; ; $, where $q_{; ; in}; ; $ represents upstream flow and $q_{; ; out}; ; $ represents downstream traffic flow on the observed part of the motorway. The bottleneck manifested through the decrease of the downstream traffic flow due to the congestion. There are two types of bottlenecks: recurrent and non-recurrent. The recurrent bottlenecks are caused due to the influence of daily commuters and transit traffic. At the same time, non-recurrent are often the result of traffic anomalies like traffic accidents or some unexpected events.

Izvorni jezik
Engleski

Znanstvena područja
Tehnologija prometa i transport, Interdisciplinarne tehničke znanosti



POVEZANOST RADA


Projekti:
--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 Edouard Ivanjko (autor)

Avatar Url Leo Tišljarić (autor)

Avatar Url Filip Vrbanić (autor)

Poveznice na cjeloviti tekst rada:

Pristup cjelovitom tekstu rada sites.google.com

Citiraj ovu publikaciju:

Tišljarić, Leo; Vrbanić, Filip; Ivanjko, Edouard; Carić, Tonči
Motorway Bottleneck Detection Using Speed Transition Matrices // 6th Int'l Workshop on Data Science (IWDS 2021)
Zagreb, Hrvatska, 2021. str. 1-3 (predavanje, međunarodna recenzija, prošireni sažetak, znanstveni)
Tišljarić, L., Vrbanić, F., Ivanjko, E. & Carić, T. (2021) Motorway Bottleneck Detection Using Speed Transition Matrices. U: 6th Int'l Workshop on Data Science (IWDS 2021).
@article{article, author = {Ti\v{s}ljari\'{c}, Leo and Vrbani\'{c}, Filip and Ivanjko, Edouard and Cari\'{c}, Ton\v{c}i}, year = {2021}, pages = {1-3}, keywords = {Speed Transition Matrices, Bottleneck Detection, Anomaly Detection}, title = {Motorway Bottleneck Detection Using Speed Transition Matrices}, keyword = {Speed Transition Matrices, Bottleneck Detection, Anomaly Detection}, publisherplace = {Zagreb, Hrvatska} }
@article{article, author = {Ti\v{s}ljari\'{c}, Leo and Vrbani\'{c}, Filip and Ivanjko, Edouard and Cari\'{c}, Ton\v{c}i}, year = {2021}, pages = {1-3}, keywords = {Speed Transition Matrices, Bottleneck Detection, Anomaly Detection}, title = {Motorway Bottleneck Detection Using Speed Transition Matrices}, keyword = {Speed Transition Matrices, Bottleneck Detection, Anomaly Detection}, publisherplace = {Zagreb, Hrvatska} }




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