Routing of automobiles is typically based on user-provided input such as starting point, destination, intermediate point, etc. Such user-provided input itself arises from some user constraints, e.g., a meeting at the destination, a pick-up at the intermediate point, etc. Further, vehicle parameters, e.g., fuel level, can influence the route. This disclosure describes creation of vehicle routing plans based on user constraints and vehicular state. User constraints can be expressed directly by the user, e.g., to a virtual assistant, or determined based on permitted user data, e.g., from the user’s calendar. Routing plans tailored to user context are more efficient and intuitive.
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Richardson, Hilary and Sills, Maxwell, "Context aware routing for automobiles", Technical Disclosure Commons, (April 27, 2018)