A Dynamic Routing Model for Hybrid Electric Vehicles

Abstract

The recent steady hikes in the prices of the oil/gases and the need for the healthier ecosystem, has led to the larger increase in the interest of the vehicles to move to alternative energy resources that causes a low carbon emission. The hybrid electric vehicle that utilizes both the internal combustion engine and the electrical engine is becoming a predominant option for the vehicle with the low carbon emission than the pure electric vehicle that is restricted due to the limited battery usage. To have an optimal mode of selection of the routes for the hybrid electric vehicle, the paper proposes a method for the identification of minimum delay geographical routing in advance by determining the shortest paths available to the destinations using the prim’s minimum spanning tree algorithm, and employing Tabu-Search in enumerating the minimum delay path in order to have a reduced energy usage and a low carbon emission that paves way for the development of the eco-friendly environment.