|International Journal of Swarm Intelligence and Evolutionary Computation; known for its integrity and quality among all open-access journals related to Reverse Online Algorithm. The journal publishes high quality articles, editorials as well as review articles covering major aspects related to Reverse Online Algorithm.
Reverse Online Algorithm is a novel decentralized and infrastructure-less algorithm used to alleviate traffic congestions on road networks and to fill the void left by current algorithms which are either static, centralized, or require infrastructure. The algorithm follows an online approach that seeks stochastic user equilibrium and assigns traffic as it evolves in real time, without prior knowledge of the traffic demand or the schedule of the cars that will enter the road network in the future. Reverse Online Algorithm for the Dynamic Traffic Assignment inspired by Ant Colony Optimization for VANETs is a metaheuristic approach that uses reports from other vehicles to update the vehicles perceived view of the road network and change route if necessary.
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