This study investigates the effects of different vehicle types on route optimization within the framework of the Capacitated Vehicle Routing Problem (CVRP), which is a widely recognized and extensively studied problem in the field of logistics and supply chain management. The primary objective of CVRP is to determine the most efficient routes for a fleet of vehicles with limited carrying capacities to deliver goods to a set of customers, while minimizing overall transportation costs and time. In this context, the study places particular emphasis on the role of vehicle characteristics—such as load capacity, average speed, and fuel efficiency—in shaping the overall performance of route planning. By incorporating various types of vehicles into the optimization model, the research explores how these parameters influence key performance indicators such as total travel time, fuel consumption, and operational cost. To achieve this, a series of simulations were conducted using multiple data sets that reflect real-world delivery scenarios. These simulations compared route outcomes based on different vehicle types and configurations. The findings reveal that the selection of vehicle types significantly impacts the efficiency of routing solutions. Specifically, the strategic use of vehicles with varying capacities and characteristics can lead to substantial improvements in delivery performance and cost-effectiveness. Overall, the study highlights the importance of vehicle heterogeneity in CVRP optimization and provides insights that can support decision-makers in designing more effective and sustainable logistics strategies.