Over the time, the number of vehicles is increasing exponentially, that results in increasing$$ CO_{2} $$ emission in the environment. On the other hand, people attempt to recommend a collection of optimal paths for a vehicle fleet to travel and deliver goods to the customers in a minimum time period. Combining both above fleets gives rise to a Green Vehicle Routing Problem (GVRP). Since about the last two decades, researchers suggest many GVRP algorithms to serve the society. In this study, a critical review on different and recent trends in GVRP is made. Based on the thorough study, some of the future scopes on the related area are suggested as a concluding remark.
CITATION STYLE
Das, K. N., & Das, R. (2020). Green Vehicle Routing Problem: A Critical Survey. In Learning and Analytics in Intelligent Systems (Vol. 12, pp. 736–745). Springer Nature. https://doi.org/10.1007/978-3-030-42363-6_86
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