A Helly Model-Based MPC Control System for Jam-Absorption Driving Strategy against Traffic Waves in Mixed Traffic
Traffic waves in traffic flow significantly impact road throughput and fuel consumption and may even lead to severe safety issues. Currently, in connected and autonomous environments, the jam-absorption driving (JAD) strategy shows good performance in dissipating traffic waves. However, the previous...
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-02-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/14/4/1424 |
| _version_ | 1797299011790569472 |
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| author | Haizhen Li Claudio Roncoli Yongfeng Ju |
| author_facet | Haizhen Li Claudio Roncoli Yongfeng Ju |
| author_sort | Haizhen Li |
| collection | DOAJ |
| description | Traffic waves in traffic flow significantly impact road throughput and fuel consumption and may even lead to severe safety issues. Currently, in connected and autonomous environments, the jam-absorption driving (JAD) strategy shows good performance in dissipating traffic waves. However, the previous JAD strategy has mostly focused on wave dissipation without adequately assessing traffic efficiency and safety. To address this gap, an optimal control problem for JAD in mixed traffic is proposed to reduce traffic waves. The prediction model is developed using the car-following model within a model predictive control (MPC) framework. The Helly model is selected for the manual vehicle. This is because the Helly model is a linear model that describes the car-following phenomenon accurately without delay effect. In addition, the objective function of the prediction model considers both traffic safety and efficiency while satisfying mechanical and safety constraints. Simulation results indicate that the proposed methodology can effectively reduce traffic jams and improve traffic performance on a one-lane freeway. The optimal method is more applicable to complex traffic wave scenarios, providing a new perspective for reducing traffic jams on the freeway. |
| first_indexed | 2024-03-07T22:43:24Z |
| format | Article |
| id | doaj.art-377898e3c9a249ddb9d204a0407c10a4 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-07T22:43:24Z |
| publishDate | 2024-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-377898e3c9a249ddb9d204a0407c10a42024-02-23T15:05:57ZengMDPI AGApplied Sciences2076-34172024-02-01144142410.3390/app14041424A Helly Model-Based MPC Control System for Jam-Absorption Driving Strategy against Traffic Waves in Mixed TrafficHaizhen Li0Claudio Roncoli1Yongfeng Ju2School of Electronics and Control Engineering, Chang’an University, Xi’an 710064, ChinaDepartment of Built Environment, School of Engineering, Aalto University, P.O. Box 14100, FI-00076 Aalto, FinlandSchool of Electronics and Control Engineering, Chang’an University, Xi’an 710064, ChinaTraffic waves in traffic flow significantly impact road throughput and fuel consumption and may even lead to severe safety issues. Currently, in connected and autonomous environments, the jam-absorption driving (JAD) strategy shows good performance in dissipating traffic waves. However, the previous JAD strategy has mostly focused on wave dissipation without adequately assessing traffic efficiency and safety. To address this gap, an optimal control problem for JAD in mixed traffic is proposed to reduce traffic waves. The prediction model is developed using the car-following model within a model predictive control (MPC) framework. The Helly model is selected for the manual vehicle. This is because the Helly model is a linear model that describes the car-following phenomenon accurately without delay effect. In addition, the objective function of the prediction model considers both traffic safety and efficiency while satisfying mechanical and safety constraints. Simulation results indicate that the proposed methodology can effectively reduce traffic jams and improve traffic performance on a one-lane freeway. The optimal method is more applicable to complex traffic wave scenarios, providing a new perspective for reducing traffic jams on the freeway.https://www.mdpi.com/2076-3417/14/4/1424connected and autonomous environmentjam-absorption drivingmixed trafficmodel predictive controlHelly model |
| spellingShingle | Haizhen Li Claudio Roncoli Yongfeng Ju A Helly Model-Based MPC Control System for Jam-Absorption Driving Strategy against Traffic Waves in Mixed Traffic Applied Sciences connected and autonomous environment jam-absorption driving mixed traffic model predictive control Helly model |
| title | A Helly Model-Based MPC Control System for Jam-Absorption Driving Strategy against Traffic Waves in Mixed Traffic |
| title_full | A Helly Model-Based MPC Control System for Jam-Absorption Driving Strategy against Traffic Waves in Mixed Traffic |
| title_fullStr | A Helly Model-Based MPC Control System for Jam-Absorption Driving Strategy against Traffic Waves in Mixed Traffic |
| title_full_unstemmed | A Helly Model-Based MPC Control System for Jam-Absorption Driving Strategy against Traffic Waves in Mixed Traffic |
| title_short | A Helly Model-Based MPC Control System for Jam-Absorption Driving Strategy against Traffic Waves in Mixed Traffic |
| title_sort | helly model based mpc control system for jam absorption driving strategy against traffic waves in mixed traffic |
| topic | connected and autonomous environment jam-absorption driving mixed traffic model predictive control Helly model |
| url | https://www.mdpi.com/2076-3417/14/4/1424 |
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