Abstract
Recently, a set of probe equipment comprising the GPS and an information terminal is increasingly mounted on goods vehicles to gather data on their operations. This study aims to better understand cargo deliveries over a middle/long-distance and within a city, using the probe data of trucks linked with the drivers’ operation status. It is learned that truck drivers are constantly under psychological pressure to make the designated delivery time, which is getting more demanding in recent years. In this study, we estimate safety margin against the designated arrival time based on the probability of being late calculated from the truck’s travel data. This is because the probability gives us an objective way to evaluate the risk of getting late. As this safety margin lessens the driver’s psychological pressure for sticking to the delivery schedule, it is expected to greatly contribute to safety drive while improving the efficiency of deliveries.
