Natural ants communicate with each other and establish the most suitable path between their nest and food sources using
chemical signals called pheromones. The Ant Colony Optimization Metaheuristic or ACO is inspired by this behavior and includes a set of bio-inspired algorithms usually used to solve combinatorial problems. This paper proposes the use of ACO Metaheuristic for the vehicle routing problem in the downtown of Cucuta - Colombia. The underlying idea is to suggest to a person being transported in a private vehicle route that minimizes delays in travel time, based on local traffic conditions, permitting a supple ride through two geographic locations in the downtown of the city.