Abstract
The management of people and vehicles’ mobility is an aspect of continuous study due to its contribution to pollution. Traffic light control determines the queues that can form at crossroads. Usually, this control is not adapted to the existing traffic at a specific time since the adaptation implies knowing the pedestrians and vehicles that are circulating at all times. The article proposes using intelligent method that allow the detection of vehicles and changing access times to the intersection depending on the circumstances to solve this problem. A simulation has been carried out to validate the system, generating loads in MatLab and simulating the control with Simulink. A traffic light cycle with varying times depending on pedestrians and vehicles load has been simulated and has been compared with a fixed time cycle simulation. In this article, Op and Sat indicators are proposed to measure optimisation of the control algorithm on the state of the crossing. Using these indicators verified that it is possible to optimise the waiting time, almost independently of the traffic load in the best of cases.
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Uribe-Chavert, P., Posadas-Yagüe, JL., Poza-Lujan, JL. (2023). Proposal for Measuring the Effectiveness of an Intelligent Control System for Traffic Crossings. In: Omatu, S., Mehmood, R., Sitek, P., Cicerone, S., Rodríguez, S. (eds) Distributed Computing and Artificial Intelligence, 19th International Conference. DCAI 2022. Lecture Notes in Networks and Systems, vol 583. Springer, Cham. https://doi.org/10.1007/978-3-031-20859-1_31
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DOI: https://doi.org/10.1007/978-3-031-20859-1_31
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