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Procedure for regenerating an exhaust gas after treatment system, especially a particle filter, of a combustion engine that is arranged in a motor vehicle, with regeneration cycles that are controlled by a control unit, whereby the control unit is provided with information data regarding the route a

Procedure for regenerating an exhaust gas after treatment system, especially a particle filter, of a combustion engine that is arranged in a motor vehicle, with regeneration cycles that are controlled by a control unit, whereby the control unit is provided with information data regarding the route and whereby the regeneration cycles are controlled with regard to the information data, is thereby characterized, in that the information data that regards the route contains driver specific information data.

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1. A method of regenerating an exhaust gas after treatment system, especially a particle filter, of a combustion engine arranged in a motor vehicle, the method comprising: controlling a particle filter regeneration cycle with a control unit, wherein the control unit is provided with data comprising

1. A method of regenerating an exhaust gas after treatment system, especially a particle filter, of a combustion engine arranged in a motor vehicle, the method comprising: controlling a particle filter regeneration cycle with a control unit, wherein the control unit is provided with data comprising of information data relating to a route, and wherein the route information data contains at least a plurality of driver specific data, wherein the driver specific data comprises each of: driving habits, driving cycles, and characteristic driving routes assigned to a particular driver. 2. A method according to claim 1, further comprising entering the plurality of driver specific data with an input device prior to starting a drive. 3. A method according to claim 1, further comprising determining the driver specific data via a comparison of a current set of data that characterizes the route with a saved set of data that characterizes the route. 4. A method according to claim 3, further comprising detecting and saving the plurality of driver specific data during a plurality of driving cycles. 5. A method according to claim 3, further comprising comparing the current set of data and the saved set of data with the aid of a neuronal network. 6. A method according to claim 3, further comprising predicting, via the comparison of the current set of data and the saved set of data, at least one of: an exhaust gas critical driving condition; anda route that enables a regeneration process. 7. A method according to claim 1, further comprising providing the plurality of driver specific data via a driver identifying identification, wherein the driver identifying identification is a code preferably saved in a storage associated with a key. 8. A method according to claim 1, further comprising transferring the route information data via at least one of: a global positioning system; a traffic a telematics system; a route planner; and a navigation system. 9. A method according to claim 1, further comprising extracting the plurality of driver specific data from route information data via least one of: the control unit; and an upstream arithmetic unit. 10. A method according to claim 9, further comprising evaluating with the control unit when the particle filter regeneration cycle occurs based on the route information data. 11. A method according to claim 10, further comprising determining whether a particle filter regeneration cycle that is scheduled due to a regeneration demand of the exhaust gas after treatment system is one of: preponed; and postponed, wherein the particle filter regeneration cycle is modified based on the result of the determination if required. 12. A method according to claim 11, further comprising evaluating with the control unit if the modified particle filter regeneration cycle is required. 13. A method according to claim 1, further comprising transferring edited route information data to the control unit via a bus, especially a CAN-bus. 14. A method according to claim 1, further comprising providing with the route information data a plurality of route data selected from a group containing ascent data, descent data, exhaust gas critical route data, traffic jam data, and a plurality of other data concerning events that influence the route. 15. A method according to claim 1, further comprising: upon an ascent, considering an increased temperature of the combustion engine for the particle filter regeneration cycle; andupon an upcoming descent or an exhaust gas critical route, establishing an optimization strategy such that the particle filter regeneration cycle is one of: postponed; preponed; and shortened. 16. A control unit comprising a computer program embodied on a machine readable media, to implement, if executed on a computer or a control unit of a combustion engine, a method of regenerating an exhaust gas after treatment system, especially a particle filter, of a combustion engine arranged in a motor vehicle, the method comprising: controlling a particle filter regeneration cycle with a control unit, wherein the control unit is provided with data comprising of information data relating to a route, and wherein the route information data contains at least a plurality of driver specific data, and wherein the driver specific data comprises each of: driving habits, driving cycles, and characteristic driving routes assigned to a particular driver. 17. A control unit comprising a computer program product with a program code saved on a machine readable medium to implement, if executed on a computer or a control unit of a combustion engine, a method of regenerating an exhaust gas after treatment system, especially a particle filter, of a combustion engine arranged in a motor vehicle, the method comprising: controlling a particle filter regeneration cycle with a control unit, wherein the control unit is provided with data comprising of information data relating to a route, and wherein the route information data contains at least a plurality of driver specific data, and wherein the driver specific data comprises each of: driving habits, driving cycles, and characteristic driving routes assigned to a particular driver. 18. The method of claim 1, wherein the driver specific data further includes driving routes frequently used by the driver.