International Business Machines Corporation
Alterations in self-driving vehicle behavior based on passenger time needs and calendar

Abstract:

Method, system, and computer product for operating a self-driving vehicle (SDV). The SDV receives information from a calendar entry of a passenger's schedule about an event at a destination location to which the SDV is to drive the passenger to. The SDV sensors detect one or more behaviors or cognitive states of the passenger while in the vehicle. The SDV determines an optimal arrival time at the destination location based on the user's schedule information and the user's behavior or cognitive state; and further alters the driving speed or route taken by the SDV based on the determined optimal arrival time and an estimated travel time. The reshaping of the SDV driving characteristics is based on calendar information received including: an event meeting time, event topic, attendees, event importance. A detected passenger behavior can include talking on a phone, reading, or being in a tired, sleeping, agitated or nervous state.