Predictive Control Model Based on the MPC Algorithm on Three Different Road Sections
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| Titel: | Predictive Control Model Based on the MPC Algorithm on Three Different Road Sections |
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| Autoren: | Xiaoxi Liu, Xixi Zheng, Shuming Zhang, Zhidong Wang |
| Quelle: | Journal of Electronic Research and Application. 8:116-123 |
| Verlagsinformationen: | Bio-Byword Scientific Publishing, Pty. Ltd., 2024. |
| Publikationsjahr: | 2024 |
| Schlagwörter: | 11. Sustainability, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology |
| Beschreibung: | Predictive control is an advanced control algorithm, which is widely used in industrial process control. Among them, model predictive control (MPC) is an important branch of predictive control. Its basic principle is to use the system model to predict future behavior and determine the current control action by optimizing the objective function. This paper discusses the application of MPC in the prediction and control of the speed of vehicles to optimize traffic flow. It is a valuable reference for alleviating traffic congestion and improving travel efficiency and smoothness and provides scientific basis and technical support for future highway traffic management. |
| Publikationsart: | Article |
| ISSN: | 2208-3510 2208-3502 |
| DOI: | 10.26689/jera.v8i2.6372 |
| Dokumentencode: | edsair.doi...........ae76f501999601c5b64508d98e36748c |
| Datenbank: | OpenAIRE |
Nájsť tento článok vo Web of Science | Abstract: | Predictive control is an advanced control algorithm, which is widely used in industrial process control. Among them, model predictive control (MPC) is an important branch of predictive control. Its basic principle is to use the system model to predict future behavior and determine the current control action by optimizing the objective function. This paper discusses the application of MPC in the prediction and control of the speed of vehicles to optimize traffic flow. It is a valuable reference for alleviating traffic congestion and improving travel efficiency and smoothness and provides scientific basis and technical support for future highway traffic management. |
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| ISSN: | 22083510 22083502 |
| DOI: | 10.26689/jera.v8i2.6372 |