Method and apparatus for personalizing autonomous transportation

Abstract

Aspects of the subject disclosure may include, for example, a method including receiving, by a processing system at an autonomous vehicle including a processor, a personalized driving style profile associated with a first driver according to first driving information, wherein the personalized driving style profile includes key driving style parameter values associated with the first driver, wherein the first driving information comprises monitoring vehicle context and control information captured during a vehicle driving session, and modifying, by the processing system at the autonomous vehicle, a default driving style algorithm according to the personalized driving style profile to mimic at an autonomous vehicle a driving style of the first driver during operation of the autonomous vehicle. Other embodiments are disclosed.

What is claimed is: 
     
         1 . A device, comprising:
 a processing system including a processor; and   a memory that stores executable instructions that, when executed by the processing system, facilitate performance of operations, the operations comprising:   capturing driving information as a driver engages in a vehicle driving session, wherein the vehicle driving session includes actual real-world driving of a vehicle and driving via a vehicle simulator;   generating a profile from the driving information, wherein the profile includes parameters and values for replicating a driving style of the driver;   obtaining, from a mobile device of the driver, an edit to a parameter of the parameters or a value of the values;   updating the profile in accordance with the edit, resulting in an updated profile; and   causing the updated profile to be provided to an autonomous vehicle control system such that the autonomous vehicle control system modifies a default driving style profile based on the updated profile.   
     
     
         2 . The device of  claim 1 , wherein the causing of the updated profile to be provided to the autonomous vehicle control system comprises the device providing the updated profile to the autonomous vehicle control system. 
     
     
         3 . The device of  claim 1 , wherein the causing of the updated profile to be provided to the autonomous vehicle control system comprises causing the mobile device to provide the updated profile to the autonomous vehicle control system. 
     
     
         4 . The device of  claim 1 , wherein the updating of the profile is contingent upon authentication of the driver, and wherein the operations further comprise:
 comparing biometric data associated with the driver for the authentication of the driver.   
     
     
         5 . The device of  claim 4 , wherein the biometric data includes a voice print, a finger print, and a retinal scan. 
     
     
         6 . The device of  claim 1 , wherein an autonomous riding hailing vehicle associated with the autonomous vehicle control system uses a parameter associated with vehicle distance included in the updated profile to facilitate an adaptive cruise control function. 
     
     
         7 . The device of  claim 1 , wherein the generating of the profile is via a machine learning engine. 
     
     
         8 . The device of  claim 1 , wherein the operations further comprise storing the profile at a network cloud portal, wherein a ride hailing application at the mobile device accesses the profile from the network cloud portal. 
     
     
         9 . The device of  claim 1 , wherein the capturing of the driving information comprises capturing simulated data from the vehicle simulator. 
     
     
         10 . The device of  claim 1 , wherein the vehicle simulator is operated by the driver via inputs and output of a computer device. 
     
     
         11 . The device of  claim 1 , wherein the vehicle driving session comprises operation of a software-based driving simulation for non-autonomous driving. 
     
     
         12 . The device of  claim 1 , wherein the driving information includes acceleration, deceleration, lane changes, and turning. 
     
     
         13 . The device of  claim 1 , wherein the autonomous vehicle control system further modifies the default driving style profile based on traffic rules and safety margins. 
     
     
         14 . A non-transitory machine-readable medium, comprising executable instructions that, when executed by a processing system including a processor, facilitate performance of operations, the operations comprising:
 capturing driving information associated with at least a first driver during a vehicle driving session that includes actual real-world driving of a vehicle and driving via a vehicle simulator;   generating a profile from the driving information, wherein the profile includes parameters and values for replicating a driving style of the at least a first driver;   obtaining, from a mobile device of the at least a first driver, an edit to a parameter of the parameters or a value of the values;   updating the profile in accordance with the edit, resulting in an updated profile; and   causing the updated profile to be provided to an autonomous vehicle control system such that the autonomous vehicle control system modifies a default driving style profile based on the updated profile.   
     
     
         15 . The non-transitory machine-readable medium of  claim 14 , wherein the vehicle driving session comprises operation of a software-based driving simulation for non-autonomous driving. 
     
     
         16 . The non-transitory machine-readable medium of  claim 14 , wherein the edit is received via an application at the mobile device. 
     
     
         17 . The non-transitory machine-readable medium of  claim 16 , wherein the operations further comprise storing the profile at a network cloud portal, wherein the application at the mobile device accesses the profile from the network cloud portal. 
     
     
         18 . The non-transitory machine-readable medium of  claim 14 , wherein the driving information includes acceleration, deceleration, or any combination thereof. 
     
     
         19 . A method, comprising:
 facilitating, by a processing system at a first ride hailing autonomous vehicle including a processor, communication with a mobile communication device of a first driver via a ride hailing application;   receiving, by the processing system at the first ride hailing autonomous vehicle, a personalized driving style profile associated with the first driver from the mobile communication device responsive to the facilitating the communication, wherein the personalized driving style profile includes a set of key driving style parameter values associated with the first driver derived from monitoring vehicle context and control information captured during a vehicle driving session, wherein the vehicle driving session comprises operation, by the first driver, of a driving simulator in a non-autonomous mode actual real-world driving of a vehicle, or a combination thereof, wherein a first key driving style parameter value of the set of key driving style parameter values is adjusted to fall within a first safe value range of a set of safe value ranges responsive to determining that the first key driving style parameter value is outside the first safe value range;   modifying, by the processing system at the first ride hailing autonomous vehicle, a first default driving style algorithm according to the personalized driving style profile to mimic, at the ride hailing autonomous vehicle a driving style of the first driver during operation of the first ride hailing autonomous vehicle; and   modifying, by the processing system at a second ride hailing autonomous vehicle, a second default driving style algorithm according to the personalized driving style profile to mimic, at the second ride hailing autonomous vehicle the driving style of the first driver during operation of the second ride hailing autonomous vehicle, wherein the second default driving style algorithm is different from the first default driving style algorithm.   
     
     
         20 . The method of  claim 19 , wherein the vehicle context and control information includes acceleration, deceleration, lane changes, turning, or any combination thereof.