Nalazite se na CroRIS probnoj okolini. Ovdje evidentirani podaci neće biti pohranjeni u Informacijskom sustavu znanosti RH. Ako je ovo greška, CroRIS produkcijskoj okolini moguće je pristupi putem poveznice www.croris.hr
izvor podataka: crosbi

Evaluation of Adaptive Traffic Control System UTOPIA using Microscopic Simulation (CROSBI ID 651840)

Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija

Pavleski, Daniel ; Nechoska-Koltovska, Daniela ; Ivanjko, Edouard Evaluation of Adaptive Traffic Control System UTOPIA using Microscopic Simulation // Proceedings of ELMAR-2017 / Muštra, Mario ; Vitas, Dijana ; Zovko-Cihlar, Branka (ur.). Zagreb: Fakultet elektrotehnike i računarstva Sveučilišta u Zagrebu, 2017. str. 17-20 doi: 10.23919/ELMAR.2017.8124425

Podaci o odgovornosti

Pavleski, Daniel ; Nechoska-Koltovska, Daniela ; Ivanjko, Edouard

engleski

Evaluation of Adaptive Traffic Control System UTOPIA using Microscopic Simulation

Adaptive traffic control systems are designed to overcome the limitations of fixed time control of signalized intersections in urban environments. They respond to fluctuations in traffic patterns by adjusting signal timing in accordance with traffic demand and can reduce traffic congestion, delays, and decrease travel time. One of such systems is UTOPIA (Urban Traffic Optimization by Integrated Automation). It is advisable to evaluate such a system using microscopic simulation before implementation. A framework to connect UTOPIA with the microscopic simulator VISSIM is implemented in this paper to enable such evaluation. The framework is tested using real-world traffic data from a congested corridor of 7 signalized intersections in the wider center area of the City of Skopje, Macedonia. Obtained results are analyzed using chosen performance measures suitable for urban environments like delay, queue length, travel time, intersection level of service and number of stops.

Intelligent transport systems, UTOPIA, Micro- scopic simulation, Urban intersections, Adaptive traffic control system

nije evidentirano

nije evidentirano

nije evidentirano

nije evidentirano

nije evidentirano

nije evidentirano

Podaci o prilogu

17-20.

2017.

nije evidentirano

objavljeno

978-953-184-230-3

10.23919/ELMAR.2017.8124425

Podaci o matičnoj publikaciji

Proceedings of ELMAR-2017

Muštra, Mario ; Vitas, Dijana ; Zovko-Cihlar, Branka

Zagreb: Fakultet elektrotehnike i računarstva Sveučilišta u Zagrebu

1334-2630

Podaci o skupu

59th International Symposium ELMAR-2017, Special session Intelligent Transport Systems

predavanje

18.09.2017-20.09.2017

Zadar, Hrvatska

Povezanost rada

Elektrotehnika, Računarstvo, Tehnologija prometa i transport

Poveznice
Indeksiranost