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Title	A Dynamic Decentralized Traffic Light Management System: A Tcp Inspired Approach
ID_Doc	1586
Authors	Hiari O.; Nofal I.
Year	2020
Published	Proceedings of IEEE/IFIP Network Operations and Management Symposium 2020: Management in the Age of Softwarization and Artificial Intelligence, NOMS 2020
DOI	http://dx.doi.org/10.1109/NOMS47738.2020.9110461
Abstract	As the number of vehicles on the road continues to increase, methods to deal with changes in traffic demand and density keep evolving. The intent is to ensure better management via traffic lights timing, phases, and cycles to reduce the delays that occur in increased demand scenarios. Typically, solutions have been divided into centralized and decentralized, each with their own advantages and disadvantages. Most existing solutions, however incur a high cost to adapt the infrastructure to. In this paper, we present a decentralized method for traffic management via controlling traffic lights that current systems can be adapted to. The proposed solution can be adapted to existing traffic solutions without huge infrastructure costs. Inspired by TCP congestion control, for its operation, the system relies on an RSSI-based vehicle direction detection system. The advantage of such a system is that it can be adapted to existing traffic networks without introducing a high infrastructure cost. The effectiveness of this solution is evaluated through simulations carried out using the Simulation of Urban Mobility (SUMO) tool and is compared to currently deployed solutions. A small-scale traffic intersection physical model is also developed that demonstrates the operation of the vehicle direction detection system. © 2020 IEEE.
Author Keywords	Smart Cities; Smart Traffic Lights; TCP; Traffic Management

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