Adaptive Traffic Light Control with More Accurate Vehicle Platoons

• Arinaldo Lopes da Silva Universidade Federal do Piauí
• André Castelo Branco Soares Universidade Federal do Piauí

DOI: https://doi.org/10.5753/sbrc.2019.7422

Abstract

Traffic jams in major urban centers are increasing each year and hampering people's mobility. The timing setting of the traffic lights is an important factor to consider. Using vehicular networks, this work presents an adaptive semaphore control algorithm reformulated from an improvement of the best solution found in the literature so far, the Intelligent Traffic Light Controlling (ITLC). The contributions of this paper focus on how vehicle platoons are formed and updated. Through simulations in a synthetic environment and in a realistic environment in the city of Bologna, Italy, it was found that the reformulated algorithm presented superior results in terms of vehicle flow at traffic lights, besides reducing the average vehicle delay, the average emission of CO2 and signaling overhead when compared to ITLC.

Keywords: Vehicular Networks, Congestion Control, Simulation

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