Adjusting driving pattern of autonomous vehicle
AssigneeInternational Business Machines Corporation
InventorsShikhar Kwatra, Nadiya Kochura, Jeremy R. Fox, Melissa Restrepo Conde
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Abstract
An approach for adjusting driving parameters of an AV (autonomous vehicle) based on the driving style of the passenger is disclosed. The approach utilizes existing driving patterns of the passenger and perform a dynamic comparison and correlation with safe driving patterns of the passengers themselves. Based on that evaluation, the approach would suggest the parameters for adjusting the AV driving style in order to ensure AV riding experience meets the expected level of safe and stress-less riding. Furthermore, the approach can dynamically adjust the driving style during the trip based on the reaction and feedback from the passenger.
Claims20
A computer-implemented method for adjusting a driving setting for an autonomous vehicle, the computer-implemented method comprising:
- selecting, by one or more computer processors, a driving profile from one or more driving profiles of one or more occupants as a driving setting for the autonomous vehicle at a beginning of a trip;
- monitoring, continuously by the one or more computer processors, one or more reactions from the one or more occupants during the trip;
- adjusting, continuously by the one or more computer processors, the driving setting based on the one or more reactions;
- generating, by leveraging a machine learning component, a cognitive chatbot to engage in a dialogue with the one or more occupants, wherein the dialogue includes collecting feedback of riding experience;
- recommending, by leveraging the machine learning component, a second driving profile based on the collected feedback of the riding experience;
- adjusting, by leveraging the machine learning component, the driving setting based on the second driving profile;
- recommending, by leveraging the machine learning component, a third driving profile based on passenger pick up location, wherein the machine learning component recognizes certain locations, such as a hospital, requires a conservative driving style;
- and
- adjusting, by leveraging the machine learning component, the driving setting based on the third driving profile.
A computer program product for adjusting a driving setting for an autonomous vehicle, the computer program product comprising:
- one or more non-transitory computer readable storage media and program instructions stored on the one or more computer readable storage media, the program instructions comprising:
- program instructions to continuously select a driving profile from one or more driving profiles of one or more occupants as a driving setting for the autonomous vehicle at a beginning of a trip;
- program instructions to continuously monitor one or more reactions from the one or more occupants during the trip;
- program instructions, by leveraging a machine learning component, to adjust the driving setting based on the one or more reactions;
- program instructions, by leveraging the machine learning component, to generate a cognitive chatbot to engage in a dialogue with the one or more occupants, wherein the dialogue includes collecting feedback of the riding experience;
- program instructions, by leveraging the machine learning component, a second driving profile based on the collected feedback of the riding experience;
- program instructions, by leveraging the machine learning component, to adjust the driving setting based on the second driving profile;
- program instructions, by leveraging the machine learning component, to recommend a third driving profile based on passenger pick up location, wherein the machine learning component recognizes certain locations, such as a hospital, requires a conservative driving style;
- and
- program instructions, by leveraging the machine learning component, to adjust the driving setting based on the third driving profile.
A computer system for adjusting a driving setting for an autonomous vehicle, the computer system comprising:
- one or more computer processors;
- one or more non-transitory computer readable storage media;
- program instructions stored on the one or more computer readable storage media for execution by at least one of the one or more computer processors, the program instructions comprising:
- program instructions to continuously select a driving profile from one or more driving profiles of one or more occupants as a driving setting for the autonomous vehicle at a beginning of a trip;
- program instructions to continuously monitor one or more reactions from the one or more occupants during the trip;
- program instructions, by leveraging a machine learning component, to adjust the driving setting based on the one or more reactions;
- program instructions, by leveraging the machine learning component, to generate a cognitive chatbot to engage in a dialogue with the one or more occupants, wherein the dialogue includes collecting feedback of the riding experience;
- program instructions, by leveraging the machine learning component, a second driving profile based on the collected feedback of the riding experience;
- program instructions, by leveraging the machine learning component, to adjust the driving setting based on the second driving profile;
- program instructions, by leveraging the machine learning component, to recommend a third driving profile based on passenger pick up location, wherein the machine learning component recognizes certain locations, such as a hospital, requires a conservative driving style;
- and
- program instructions, by leveraging the machine learning component, to adjust the driving setting based on the third driving profile.
Dependencies are inferred from the claim text.