Safe cooperative control of CAVs at signal-free intersection under realistic scenarios
This research deals with the cooperative control of CAVs (Connected and Automated Vehicles) at signal-free intersection. CAVs communicate with each other and adjust their speeds to safely pass through the intersection without having to stop. This is expected to improve intersection throughput and re...
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2024-12-01
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| Series: | SICE Journal of Control, Measurement, and System Integration |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.1080/18824889.2024.2336683 |
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| _version_ | 1832096671450791936 |
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| author | Yuta Nakai Toru Namerikawa |
| author_facet | Yuta Nakai Toru Namerikawa |
| author_sort | Yuta Nakai |
| collection | DOAJ |
| description | This research deals with the cooperative control of CAVs (Connected and Automated Vehicles) at signal-free intersection. CAVs communicate with each other and adjust their speeds to safely pass through the intersection without having to stop. This is expected to improve intersection throughput and reduce fuel consumption. In order to execute cooperative control, a two-stage control structure is considered. In the first stage, the merging time, defined for each CAV as the time at which the CAV reaches the intersection, is obtained by solving mixed integer linear programming (MILP). In the second stage, each CAV solves an optimal control problem to determine the control input that allows it to reach the intersection at the merging time obtained in the first stage. In this research, a nonlinear model that considers air resistance, rolling resistance, and slope resistance is used to take into account the real environment. We propose a method using a control barrier function to guarantee the safety of CAVs even with nonlinear models , and an input correction method using a disturbance observer to suppress modelling errors caused by complex dynamics. We also propose a method that consists of establishing a speed regulation zone to avoid the possibility of passing through an intersection at an unsafe speed to improve throughput. Finally, a comparison with previous studies shows the superiority of the proposed method in reducing fuel consumption. |
| format | Article |
| id | doaj-art-68d72e65bdc6416d81774fef7bf8b2ec |
| institution | Kabale University |
| issn | 1884-9970 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | SICE Journal of Control, Measurement, and System Integration |
| spelling | doaj-art-68d72e65bdc6416d81774fef7bf8b2ec2025-02-05T12:46:15ZengTaylor & Francis GroupSICE Journal of Control, Measurement, and System Integration1884-99702024-12-0117110612110.1080/18824889.2024.23366832336683Safe cooperative control of CAVs at signal-free intersection under realistic scenariosYuta Nakai0Toru Namerikawa1Keio UniversityKeio UniversityThis research deals with the cooperative control of CAVs (Connected and Automated Vehicles) at signal-free intersection. CAVs communicate with each other and adjust their speeds to safely pass through the intersection without having to stop. This is expected to improve intersection throughput and reduce fuel consumption. In order to execute cooperative control, a two-stage control structure is considered. In the first stage, the merging time, defined for each CAV as the time at which the CAV reaches the intersection, is obtained by solving mixed integer linear programming (MILP). In the second stage, each CAV solves an optimal control problem to determine the control input that allows it to reach the intersection at the merging time obtained in the first stage. In this research, a nonlinear model that considers air resistance, rolling resistance, and slope resistance is used to take into account the real environment. We propose a method using a control barrier function to guarantee the safety of CAVs even with nonlinear models , and an input correction method using a disturbance observer to suppress modelling errors caused by complex dynamics. We also propose a method that consists of establishing a speed regulation zone to avoid the possibility of passing through an intersection at an unsafe speed to improve throughput. Finally, a comparison with previous studies shows the superiority of the proposed method in reducing fuel consumption.http://dx.doi.org/10.1080/18824889.2024.2336683control barrier functionoptimal controlsignal-free intersectionmixed integer programming problemcav |
| spellingShingle | Yuta Nakai Toru Namerikawa Safe cooperative control of CAVs at signal-free intersection under realistic scenarios SICE Journal of Control, Measurement, and System Integration control barrier function optimal control signal-free intersection mixed integer programming problem cav |
| title | Safe cooperative control of CAVs at signal-free intersection under realistic scenarios |
| title_full | Safe cooperative control of CAVs at signal-free intersection under realistic scenarios |
| title_fullStr | Safe cooperative control of CAVs at signal-free intersection under realistic scenarios |
| title_full_unstemmed | Safe cooperative control of CAVs at signal-free intersection under realistic scenarios |
| title_short | Safe cooperative control of CAVs at signal-free intersection under realistic scenarios |
| title_sort | safe cooperative control of cavs at signal free intersection under realistic scenarios |
| topic | control barrier function optimal control signal-free intersection mixed integer programming problem cav |
| url | http://dx.doi.org/10.1080/18824889.2024.2336683 |
| work_keys_str_mv | AT yutanakai safecooperativecontrolofcavsatsignalfreeintersectionunderrealisticscenarios AT torunamerikawa safecooperativecontrolofcavsatsignalfreeintersectionunderrealisticscenarios |