A Conflict Decision Model Based on Game Theory for Intelligent Vehicles at Urban Unsignalized Intersections
This article proposed a novel conflict decision model for intelligent vehicles based on game theory with analyzing the interaction behaviors between vehicles at urban unsignalized intersections. The proposed model can help intelligent vehicles cross intersections safely and more efficiently. Firstly...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2020-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9229167/ |
| _version_ | 1819172899760635904 |
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| author | Xuemei Chen Yufan Sun Yangjiaxin Ou Xuelong Zheng Zijia Wang Mengxi Li |
| author_facet | Xuemei Chen Yufan Sun Yangjiaxin Ou Xuelong Zheng Zijia Wang Mengxi Li |
| author_sort | Xuemei Chen |
| collection | DOAJ |
| description | This article proposed a novel conflict decision model for intelligent vehicles based on game theory with analyzing the interaction behaviors between vehicles at urban unsignalized intersections. The proposed model can help intelligent vehicles cross intersections safely and more efficiently. Firstly, we developed an inference model for types of interactions among vehicles based on fuzzy logic. Then, the driving data was collected at urban unsignalized intersections by subgrade sensors and a retrofit intelligent vehicle and it was used in verifying the proposed inference model. After that, a conflict decision model considering safety, efficiency and comfort for intelligent vehicles based on game theory, was proposed to select the optimal driving strategies. Finally, a simulation and verification platform was built using Matlab/Simulink & Prescan. And the validity and effectiveness of the model were proved by simulation experiments. The results show the decision model can effectively help vehicles avoid conflicts and save their time spent in crossing intersections by 15 percent. |
| first_indexed | 2024-12-22T20:14:31Z |
| format | Article |
| id | doaj.art-e1d5ec33c1774a2f94cac0edda0cf095 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-22T20:14:31Z |
| publishDate | 2020-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-e1d5ec33c1774a2f94cac0edda0cf0952022-12-21T18:14:00ZengIEEEIEEE Access2169-35362020-01-01818954618955510.1109/ACCESS.2020.30316749229167A Conflict Decision Model Based on Game Theory for Intelligent Vehicles at Urban Unsignalized IntersectionsXuemei Chen0https://orcid.org/0000-0001-8262-1019Yufan Sun1https://orcid.org/0000-0001-8961-9712Yangjiaxin Ou2Xuelong Zheng3https://orcid.org/0000-0001-5203-9482Zijia Wang4https://orcid.org/0000-0002-2535-6965Mengxi Li5Intelligent Vehicle Research Center, School of Mechanical Engineering, Beijing Institute of Technology, Beijing, ChinaIntelligent Vehicle Research Center, School of Mechanical Engineering, Beijing Institute of Technology, Beijing, ChinaIntelligent Vehicle Research Center, School of Mechanical Engineering, Beijing Institute of Technology, Beijing, ChinaIntelligent Vehicle Research Center, School of Mechanical Engineering, Beijing Institute of Technology, Beijing, ChinaIntelligent Vehicle Research Center, School of Mechanical Engineering, Beijing Institute of Technology, Beijing, ChinaIntelligent Vehicle Research Center, School of Mechanical Engineering, Beijing Institute of Technology, Beijing, ChinaThis article proposed a novel conflict decision model for intelligent vehicles based on game theory with analyzing the interaction behaviors between vehicles at urban unsignalized intersections. The proposed model can help intelligent vehicles cross intersections safely and more efficiently. Firstly, we developed an inference model for types of interactions among vehicles based on fuzzy logic. Then, the driving data was collected at urban unsignalized intersections by subgrade sensors and a retrofit intelligent vehicle and it was used in verifying the proposed inference model. After that, a conflict decision model considering safety, efficiency and comfort for intelligent vehicles based on game theory, was proposed to select the optimal driving strategies. Finally, a simulation and verification platform was built using Matlab/Simulink & Prescan. And the validity and effectiveness of the model were proved by simulation experiments. The results show the decision model can effectively help vehicles avoid conflicts and save their time spent in crossing intersections by 15 percent.https://ieeexplore.ieee.org/document/9229167/Intelligent vehicleurban unsignalized intersectiondecision-making modelgame theoryconflict resolution |
| spellingShingle | Xuemei Chen Yufan Sun Yangjiaxin Ou Xuelong Zheng Zijia Wang Mengxi Li A Conflict Decision Model Based on Game Theory for Intelligent Vehicles at Urban Unsignalized Intersections IEEE Access Intelligent vehicle urban unsignalized intersection decision-making model game theory conflict resolution |
| title | A Conflict Decision Model Based on Game Theory for Intelligent Vehicles at Urban Unsignalized Intersections |
| title_full | A Conflict Decision Model Based on Game Theory for Intelligent Vehicles at Urban Unsignalized Intersections |
| title_fullStr | A Conflict Decision Model Based on Game Theory for Intelligent Vehicles at Urban Unsignalized Intersections |
| title_full_unstemmed | A Conflict Decision Model Based on Game Theory for Intelligent Vehicles at Urban Unsignalized Intersections |
| title_short | A Conflict Decision Model Based on Game Theory for Intelligent Vehicles at Urban Unsignalized Intersections |
| title_sort | conflict decision model based on game theory for intelligent vehicles at urban unsignalized intersections |
| topic | Intelligent vehicle urban unsignalized intersection decision-making model game theory conflict resolution |
| url | https://ieeexplore.ieee.org/document/9229167/ |
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