Automatic driving vehicle confluence gap selection optimization method based on artificial intelligence
The invention discloses an artificial intelligence-based automatic driving vehicle confluence gap selection optimization method. The method specifically comprises the steps of obtaining microscopic data of an automatic driving vehicle and a target lane vehicle; determining an accessible gap of the a...
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| creator | CHEN YUJIA LIU YUNJIE XIONG ZHUOZHI DONG CHANGYIN LYU KEYUN YIN FANGZHI WANG HAO |
| description | The invention discloses an artificial intelligence-based automatic driving vehicle confluence gap selection optimization method. The method specifically comprises the steps of obtaining microscopic data of an automatic driving vehicle and a target lane vehicle; determining an accessible gap of the automatic driving vehicle; calculating the confluence safety cost of the automatic driving vehicle; calculating the convergence efficiency cost of the automatic driving vehicle; the minimum total convergence cost of the autonomous vehicle is calculated to optimize gap selection. According to the method provided by the invention, the safety and efficiency aspects of the automatic driving vehicle confluence process are comprehensively considered, so that the automatic driving vehicle confluence gap selection method is more scientific and efficient, potential safety hazards caused by the confluence process are reduced, and meanwhile, the vehicle operation efficiency is improved.
本发明公开了一种基于人工智能的自动驾驶车辆汇入间隙选择优化方法，具体包括：获取自 |
| format | Patent |
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本发明公开了一种基于人工智能的自动驾驶车辆汇入间隙选择优化方法，具体包括：获取自</description><subject>PHYSICS</subject><subject>SIGNALLING</subject><subject>TRAFFIC CONTROL SYSTEMS</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2023</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNqNjDsOgkAQQGksjHqH4QAWxKC0hGisrOzJOAzLJMPuhh0oPL2feACrl5e8vHXm6tnCiCYE3SSLeAcLD0LKQMH3OrMnBocREiuTSfAQoskoT_zKyDaEDh6YuIO342TSCwkqiDdWFfdZbLNVj5p49-Mmyy_ne3Pdcwwtp4jEnq1tbkVRlqeqOpb14Z_mBTjfQPM</recordid><startdate>20230106</startdate><enddate>20230106</enddate><creator>CHEN YUJIA</creator><creator>LIU YUNJIE</creator><creator>XIONG ZHUOZHI</creator><creator>DONG CHANGYIN</creator><creator>LYU KEYUN</creator><creator>YIN FANGZHI</creator><creator>WANG HAO</creator><scope>EVB</scope></search><sort><creationdate>20230106</creationdate><title>Automatic driving vehicle confluence gap selection optimization method based on artificial intelligence</title><author>CHEN YUJIA ; LIU YUNJIE ; XIONG ZHUOZHI ; DONG CHANGYIN ; LYU KEYUN ; YIN FANGZHI ; WANG HAO</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN115578865A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2023</creationdate><topic>PHYSICS</topic><topic>SIGNALLING</topic><topic>TRAFFIC CONTROL SYSTEMS</topic><toplevel>online_resources</toplevel><creatorcontrib>CHEN YUJIA</creatorcontrib><creatorcontrib>LIU YUNJIE</creatorcontrib><creatorcontrib>XIONG ZHUOZHI</creatorcontrib><creatorcontrib>DONG CHANGYIN</creatorcontrib><creatorcontrib>LYU KEYUN</creatorcontrib><creatorcontrib>YIN FANGZHI</creatorcontrib><creatorcontrib>WANG HAO</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>CHEN YUJIA</au><au>LIU YUNJIE</au><au>XIONG ZHUOZHI</au><au>DONG CHANGYIN</au><au>LYU KEYUN</au><au>YIN FANGZHI</au><au>WANG HAO</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Automatic driving vehicle confluence gap selection optimization method based on artificial intelligence</title><date>2023-01-06</date><risdate>2023</risdate><abstract>The invention discloses an artificial intelligence-based automatic driving vehicle confluence gap selection optimization method. The method specifically comprises the steps of obtaining microscopic data of an automatic driving vehicle and a target lane vehicle; determining an accessible gap of the automatic driving vehicle; calculating the confluence safety cost of the automatic driving vehicle; calculating the convergence efficiency cost of the automatic driving vehicle; the minimum total convergence cost of the autonomous vehicle is calculated to optimize gap selection. According to the method provided by the invention, the safety and efficiency aspects of the automatic driving vehicle confluence process are comprehensively considered, so that the automatic driving vehicle confluence gap selection method is more scientific and efficient, potential safety hazards caused by the confluence process are reduced, and meanwhile, the vehicle operation efficiency is improved.
本发明公开了一种基于人工智能的自动驾驶车辆汇入间隙选择优化方法，具体包括：获取自</abstract><oa>free_for_read</oa></addata></record> |
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| subjects | PHYSICS SIGNALLING TRAFFIC CONTROL SYSTEMS |
| title | Automatic driving vehicle confluence gap selection optimization method based on artificial intelligence |
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