An OvS-MultiObjective Algorithm Approach for Lane Reversal Problem
This work addresses traffic congestion management for urban planners, but it appears incremental as it applies existing optimization and simulation techniques to a known problem.
The authors tackled the problem of mitigating traffic congestion by proposing a methodology that uses a multi-objective genetic algorithm and traffic simulations to determine ideal lane reversal configurations, though no concrete results or numbers are provided.
The lane reversal has proven to be a useful method to mitigate traffic congestion during rush hour or in case of specific events that affect high traffic volumes. In this work we propose a methodology that is placed within optimization via Simulation, by means of which a multi-objective genetic algorithm and simulations of traffic are used to determine the configuration of ideal lane reversal.