A Green Wave Traffic Strategy Design for Energy-saving Control of Intelligent Connected Vehicle Using MPC Framework

In this paper, an energy-saving driving method of automatic transmission fuel vehicle under multi-traffic lights is proposed. For the multi-traffic light section in the city, a traffic light green wave selection method is first transformed into a single traffic light traffic problem, the correspondi...

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Bibliographic Details
Published inChinese Control Conference pp. 2834 - 2839
Main Authors Yang, Hanyu, Liu, Qifang, Li, Dongzi, Yu, Shuyou
Format Conference Proceeding
LanguageEnglish
Published Technical Committee on Control Theory, Chinese Association of Automation 28.07.2024
Subjects
Autonomous vehicles
Energy conservation
Green wave traffic
Model predictive control
Prediction algorithms
Real-time systems
Roads
Simulation
Speed optimization
Torque
Urban areas
Online AccessGet full text
ISSN1934-1768
DOI10.23919/CCC63176.2024.10662492

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Summary:In this paper, an energy-saving driving method of automatic transmission fuel vehicle under multi-traffic lights is proposed. For the multi-traffic light section in the city, a traffic light green wave selection method is first transformed into a single traffic light traffic problem, the corresponding speed constraint is calculated, and the problem is transformed into a cruise problem with speed constraint. Taking vehicle energy consumption and engine torque into account, the model predictive control (MPC) is used to solve the problem, and the sub-optimal solution was obtained. The green wave selection algorithm can achieve 96% of the energy saving effect of the global optimization algorithm. Compared with the global optimization solution time, this method will greatly reduce the solution time and complete the purpose of real-time optimization.
ISSN:1934-1768
DOI:10.23919/CCC63176.2024.10662492