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Found 3 papers, 1 papers with code
How will electric vehicles affect traffic congestion and energy consumption: an integrated modelling approach
This paper explores the impact of electric vehicles (EVs) on traffic congestion and energy consumption by proposing an integrated bi-level framework comprising of: a) a dynamic micro-scale traffic simulation suitable for modelling current and hypothetical traffic and charging demand scenarios and b) a queue model for capturing the impact of fast charging station use, informed by traffic flows, travel distances, availability of charging infrastructure and estimated vehicle battery state of charge.
Boosted Genetic Algorithm using Machine Learning for traffic control optimization
Lastly, we propose a new algorithm BGA-ML combining the GA algorithm and the extreme-gradient decision-tree, which is the best performing regressor, together in a single optimization framework.
Traffic signal control optimization under severe incident conditions using Genetic Algorithm
Secondly, we apply the optimal signal timings previously found under severe incidents affecting the traffic flow in the network but without any further optimization.
