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Using smart traffic lights to reduce CO2 emissions and improve traffic flow at intersections: simulation of an intersection in a small Portuguese city
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Orientador(es)
Resumo(s)
Reducing CO2 emissions is currently a key policy in most developed countries. In this article, we evaluate whether smart traffic lights can have a relevant role in reducing CO2 emissions in small cities, considering their specific traffic profiles. The research method is a quantitative modelling approach tested by computational simulation. We propose a novel microscopic traffic simulation framework, designed to simulate realistic vehicle kinematics and driver behaviour, and accurately estimate CO2 emissions. We also propose and evaluate a routing algorithm for smart traffic lights, specially designed to optimize CO2 emissions at intersections. The simulations reveal that deploying smart traffic lights at a single intersection can reduce CO2 emissions by 32% to 40% in the vicinity of the intersection, depending on the traffic density. The simulations show other advantages for drivers: an increase in average speed of 60% to 101% and a reduction in waiting time of 53% to 95%. These findings can be useful for city-level decision makers who wish to adopt smart technologies to improve traffic flows and reduce CO2 emissions. This work also demonstrates that the simulator can play an important role as a tool to study the impact of smart traffic lights and foster the improvement in smart routing algorithms to reduce CO2 emissions.
Descrição
Palavras-chave
CO2 emissions Smart traffic lights Smart intersections CO2 estimation Road traffic simulation Vehicle specific power Consumption estimation Intelligent traffic lights
Contexto Educativo
Citação
SANTOS, O. [et al.] (2024) - Using smart traffic lights to reduce CO2 emissions and improve traffic flow at intersections: simulation of an intersection in a small Portuguese city. Applied System Innovation. 7:(1):3. DOI: https://doi.org/10.3390/asi7010003
Editora
MDPI