Loading

Usage of SUMO Computer Modeling Software for Road Traffic Control System Validation
Alexey Ivanov1, Fares Abu-Abed2 

1Alexey Ivanov, Department of Electronic Calculating Machines / Tver State Technical University, Tver, Russia.
2Fares Abu-Abed, Faculty of International Academic Cooperation / Tver State Technical University, Tver, Russian Federation.

Manuscript received on 12 March 2019 | Revised Manuscript received on 21 March 2019 | Manuscript published on 30 July 2019 | PP: 4662-4666 | Volume-8 Issue-2, July 2019 | Retrieval Number: B3396078219/19©BEIESP | DOI: 10.35940/ijrte.B3396.078219
Open Access | Ethics and Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Modern road traffic control systems become more complex with each year due to the growing number of cars, demand for more optimized road network designs, and desire to decrease road traffic delays at the intersections during rush hours because of the constantly growing metropolitan area and hence the need of moving farther away across the city. Therefore, a need is very much relevant nowadays for technologies, which can help build more optimal and intelligent road traffic control systems, which in turn will help optimize already existing road network designs. With the help of computer modeling software, it is possible to recreate already existing segments of road network, and by implementing control logic, it is possible to observe how control system and road traffic would react to various changes. This paper looks at how computer modeling software (namely SUMO) can help with the validation of road traffic control system changes without the risks of road traffic accidents caused by manipulation of real control systems.
Index Terms: Computer Modeling, Control System, Open Source, Road Traffic, Software.

Scope of the Article: Computer Network