A computing device includes a CPU and a memory. A vehicle travels by consuming first electric power and second electric power. The first electric power is electric power, generation of a unit amount of which causes emission of a first amount of carbon dioxide. The second electric power is electric power, generation of a unit amount of which causes emission of a second amount of carbon dioxide, the second amount being smaller than the first amount. The CPU creates a charging plan based on a first ratio occupied by the second electric power in electric power supplied from a first charging position on a travel route of the vehicle.

A travel support control device creates a travel support plan in which one of travel modes including a CD mode and a CS mode is assigned to each travel section of a travel route based on prediction information generated for the travel route, performs travel support control, and calculates a total distance of electric traveling on the travel route as one result of the travel support control. When a hybrid electric vehicle is traveling in an area outside of communication coverage while the travel support control is being performed, the travel support control device stops switching the travel mode based on the travel support plan and keeps calculating the total distance of electric traveling on the travel route.

A vehicle information DB holds information on whether or not a vehicle falls under a welfare vehicle provided with an assistance apparatus for a driver who has a lower limb impairment. A power feed facility DB holds position information of a power feed facility and information indicating whether the power feed facility falls under a contact type power feed facility or a wireless power feed facility. A processing apparatus creates a travel route such that a larger number of wireless power feed facilities are included along the travel route when the vehicle falls under the welfare vehicle than when the vehicle does not fall under the welfare vehicle.

A server includes a communication device and a processor. From a user terminal, the communication device acquires a vehicle dispatch request including information indicating a vehicle dispatch location and a destination of a vehicle. When the communication device acquires the vehicle dispatch request, the processor determines a traveling route of the vehicle from a current location of the vehicle to the destination via the vehicle dispatch location in accordance with the vehicle dispatch request. The processor determines a route from the current location to the vehicle dispatch location such that an amount of power storage in a power storage device at the vehicle dispatch location is larger than an amount of electric power with which the vehicle can travel from the vehicle dispatch location to the destination.

A processing unit segments the route into a plurality of sections. It is, for each section, obtains a set of route section characteristic values, R.sub.SCV, that will impact the energy consumption of the vehicle whilst driving within the section, obtains a set of vehicle energy consumption values, V.sub.ECV, that will impact the energy consumption of the vehicle whilst driving within the section at least partly based on R.sub.SCV, estimates a first probability distribution, P.sub.1, of the energy consumption for the vehicle whilst driving within the section based on R.sub.SCV, V.sub.ECV, and a first set of traffic information values, T.sub.1, within the section, estimates a second probability distribution, P.sub.2, of the energy consumption for the vehicle whilst driving within the section based on R.sub.SCV, V.sub.ECV, and a second set of traffic information values, T.sub.2, within the section, estimates a traffic flow indicator, I.sub.TF, for the section based on R.sub.SCV, V.sub.ECV and a third set of traffic information values, T.sub.3, within the section, and determines a route section probability distribution, P.sub.RS, of the energy consumption for the vehicle whilst driving within the section based on the relation between I.sub.TF, P.sub.1, and P.sub.2.

A method for managing energy consumption in a vehicle along a first route from a source location to a first target destination includes estimating an energy consumption, E.sub.PC, of the vehicle travelling from the source location to the first target destination along the first route. In case the amount of energy, E.sub.TOTAL, available in the vehicle is not on a level above E.sub.C that ensures arrival of the vehicle at the first target destination according to a first determined level of certainty, an estimated energy consumption, E.sub.AUX, of each auxiliary system on-board the vehicle for the first route, and an energy utilization information, EU.sub.INFO, indicating a priority level of each auxiliary system on-board the vehicle for the first route is obtained. An energy consumption adaption sequence of the auxiliary systems is determined for the first route based on the obtained E.sub.AUX and EU.sub.INFO of each auxiliary system such that E.sub.TOTAL is maintained on a level above E.sub.PC that ensures arrival of the vehicle at the first target destination according to a second determined level of certainty.

Technical solutions are described for determining a route for multiple users traveling to a common destination. An example method includes determining, by a multiuser route generator, a multiuser route for a plurality of users traveling to the common destination, the multiuser route comprising a waypoint, the waypoint being a location to which each of the plurality of users travel independently, and travel to the common destination jointly thereafter. Determining the multiuser route includes receiving departure locations of the users, determining the waypoint, and calculating a first total of travel parameters associated with the users traveling to the waypoint independently and jointly thereafter that is lesser than a second total of travel parameters associated with the users traveling to the common destination independently. The method further includes sending the multiuser route to navigation devices of the respective users, the navigation devices navigating the respective users along the multiuser route.

There is provided an information processing apparatus including a travelable information display unit that displays before a discharge, regarding motor-driven movable bodies of a discharge source and a discharge destination driven by using electric power of batteries, information about places to which the motor-driven movable body of the discharge source can move using electric power of the battery left after the discharge by assuming, when information about a discharge amount discharged from the battery of the motor-driven movable body of the discharge source toward the motor-driven movable body of the discharge destination that receives power supply is input, a case in which the discharge amount is discharged from the battery.

A method includes: determining, based, at least in part, on a predicted driver characteristic, a first energy-versus-distance measure for a planned driving route of a vehicle, the first energy-versus-distance measure determined using an energy model; presenting the first energy-versus-distance measure on a user interface associated with the vehicle; identifying an already-driven part of the planned driving route; determining, based on information associated with the already-driven part of the planned driving route, a model error associated with the energy model; determining a second energy-versus-distance measure by modifying the first energy-versus-distance measure to account for the model error; and presenting the second energy-versus-distance measure on the user interface associated with the vehicle.

A method determines an anticipated occupation of charging points and a charging strategy for a specified route. The method provides traffic data which is representative for the current traffic density on the route specified. An anticipated occupation of charging points along the specified route can be determined on the basis of the traffic data. A charging strategy can be determined on the basis of the traffic data and the determined anticipated occupation of charging points. The provision of information regarding a charging strategy to a driver allows the time required for the specified route to be reduced.