EVerGen: Optimal path planning for electric vehicle using modified genetic algorithm in internet of vehicular things

Abstract

The widespread adoption of electric vehicles (EVs) for green and eco-friendly vehicular systems, has brought several challenges, such as predicting the range in advance and selecting the optimal path with available charging stations. To address these issues, this paper proposes a novel routing strategy for EVs using a modified genetic algorithm and edge computing based-Internet of Vehicular Things paradigm . For an EV with low battery level, K-means clustering is used to select its present zone, and then the nearby charging point is traced. If the charging time is predicted, the user can search nearby amenities for refreshments. The range of the EV and the charging time are predicted using m..