With the recent increasing demand of freight, parcel delivery service, and product distribution, the quantity of supply that a company needs to handle is also increasing. The travel time between the demand points in the city is greatly affected by the complicated road conditions and the changing external environment in real time. In the previous researches, the vehicle routing problem is to define a route based on the distance between the demand points, the travel time, and the determined demand. This study propose a vehicle routing problem considering the vehicle location, vehicle condition information and dynamic demand forecasting by the Internet of Things (IoT) equipment attached to the vehicle.