DRIVER BEHAVIOR LEARNING AND DRIVING COACH STRATEGY USING ARTIFICIAL INTELLIGENCE
A method (400) of providing a suggested driving adjustment (216a) in real time to a driver (30) of a vehicle (100) is disclosed. The method includes the step of receiving one or more direct driver inputs (111) from a vehicle control system (110) and receiving sensor data (122, 122a, 122b) from a veh...
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creator | SOLIMAN IHAB |
description | A method (400) of providing a suggested driving adjustment (216a) in real time to a driver (30) of a vehicle (100) is disclosed. The method includes the step of receiving one or more direct driver inputs (111) from a vehicle control system (110) and receiving sensor data (122, 122a, 122b) from a vehicle sensor system (120). The method includes the step of determining a predicted driver behavior (215) based on the direct driver inputs and the sensor data. In addition, the method includes the steps of determining an ideal driver behavior (213) based on the direct driver inputs and the sensor data and determining a behavior difference (219) between the predicted driver behavior and the ideal driver behavior. The method also includes the step of determining the suggested driving adjustment based on the behavior difference. Additionally, the method includes the step of sending instructions (217, 217a, 217b) to notify the driver of the suggested driving adjustment to improve vehicle efficiency and/or performance.
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公</description><subject>CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE ORDIFFERENT FUNCTION</subject><subject>CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES</subject><subject>PERFORMING OPERATIONS</subject><subject>ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TOTHE CONTROL OF A PARTICULAR SUB-UNIT</subject><subject>TRANSPORTING</subject><subject>VEHICLES IN GENERAL</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2021</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNqNikEKwjAQAHvxIOof1gd4CKW5r9ttshC2mMZCT6VIPIkW6v-Rig_wNAMz2-JSR-k5wpk99tJGCIxRRR2g1rDG1alF8tCliIndANfuO8QkjZBgANHEIYhjJd4Xm_v0WPLhx11xbDiRP-X5NeZlnm75md8jqTGlsZW1FZb_PB-dKy9Q</recordid><startdate>20210723</startdate><enddate>20210723</enddate><creator>SOLIMAN IHAB</creator><scope>EVB</scope></search><sort><creationdate>20210723</creationdate><title>DRIVER BEHAVIOR LEARNING AND DRIVING COACH STRATEGY USING ARTIFICIAL INTELLIGENCE</title><author>SOLIMAN IHAB</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN113165665A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2021</creationdate><topic>CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE ORDIFFERENT FUNCTION</topic><topic>CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES</topic><topic>PERFORMING OPERATIONS</topic><topic>ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TOTHE CONTROL OF A PARTICULAR SUB-UNIT</topic><topic>TRANSPORTING</topic><topic>VEHICLES IN GENERAL</topic><toplevel>online_resources</toplevel><creatorcontrib>SOLIMAN IHAB</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>SOLIMAN IHAB</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>DRIVER BEHAVIOR LEARNING AND DRIVING COACH STRATEGY USING ARTIFICIAL INTELLIGENCE</title><date>2021-07-23</date><risdate>2021</risdate><abstract>A method (400) of providing a suggested driving adjustment (216a) in real time to a driver (30) of a vehicle (100) is disclosed. The method includes the step of receiving one or more direct driver inputs (111) from a vehicle control system (110) and receiving sensor data (122, 122a, 122b) from a vehicle sensor system (120). The method includes the step of determining a predicted driver behavior (215) based on the direct driver inputs and the sensor data. In addition, the method includes the steps of determining an ideal driver behavior (213) based on the direct driver inputs and the sensor data and determining a behavior difference (219) between the predicted driver behavior and the ideal driver behavior. The method also includes the step of determining the suggested driving adjustment based on the behavior difference. Additionally, the method includes the step of sending instructions (217, 217a, 217b) to notify the driver of the suggested driving adjustment to improve vehicle efficiency and/or performance.
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language | chi ; eng |
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subjects | CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE ORDIFFERENT FUNCTION CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES PERFORMING OPERATIONS ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TOTHE CONTROL OF A PARTICULAR SUB-UNIT TRANSPORTING VEHICLES IN GENERAL |
title | DRIVER BEHAVIOR LEARNING AND DRIVING COACH STRATEGY USING ARTIFICIAL INTELLIGENCE |
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