Naslov
Impact of the Connected Vehicles Penetration Rate on the Speed Transition Matrices Accuracy

Autori
Majstorović, Željko ; Miletić, Mladen ; Čakija, Dino ; Dusparić, Ivana ; Ivanjko, Edouard ; Carić, Tonči

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

Izvornik
Transportation Research Procedia Volume 64, Issue C / Petrović, Marjana ; Dovbischuk, Irina ; Cunha, André Luiz - : Elsevier, 2022, 240-247

Skup
International Scientific Conference “The Science and Development of Transport - Znanost i razvitak prometa” (ZIRP 2022)

Mjesto i datum
Šibenik, Hrvatska, 28.09.2022. - 30.09.2022

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Recenziran

Ključne riječi
Connected Vehicles ; Speed Transition Matrix ; SUMO ; Traffic Simulation

Sažetak
The development of the Vehicle to Everything (V2X) communication technology can provide crucial data for traffic analysis on the microscopic level. Real-time data from Connected Vehicles (CVs) opens new research possibilities providing detailed insight into the actual traffic state. Speed Transition Matrices (STMs) can be used for this insight and can be created within a fully observable traffic environment. By introducing CVs into the traffic network, it is possible to obtain a partial observation of the traffic environment. This paper explores how the data collected from CVs can be used for the creation of STMs at an isolated intersection in a simulated environment. An emphasis is given on how the CVs penetration rate impacts the accuracy of the created STM. The results show that by increasing the CVs penetration rate, the STM estimate accuracy is also increased, although the relation between estimate accuracy and the penetration rate is not linear. Obtained results show that the error of STM estimation rapidly decreases in the lower CVs penetration rate range.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika, Računarstvo, Tehnologija prometa i transport

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