Research On Eco-Driving At Signalized Intersections Based On Data Modeling

"Human-Vehicle-Road" collaborative optimization is an important issue in current research.Therefore,this paper proposes an eco-driving strategy with the help of the driver model based on data modeling and the planning algorithm based on current traffic signals.Details are as follows:A total of 143,000 acceleration and 136,000 deceleration fragments based on 5 Toyota Corolla taxis were extracted under the foundation of a self-built remote acquisition and analysis platform.GMM(Gaussian Mixed Model)was used to establish a driver type identification algorithm based on RPA(Relative Positive Acceleration)value and vehicle speed information.And 30 different driving types were identified.As a result,piecewise linear acceleration model was used.And it represents driver characteristics with the symbol of speed and acceleration.Based on a comprehensive score,the energy-saving acceleration model was established.With this model and utilizing V2 I communication technology,the fuel saving optimization problem at Signalized Intersections under variable acceleration planning was explored.As a result,driving planning algorithm with different priorities(ecospeed passing strategy,maximum/minimum speed passing strategy,and decelerationparking strategy)is established.Therefore,with the help of driving mode and braking mode switching algorithm,the target speed tracking control algorithm based on vehicle dynamics model feedforward and Active Disturbance Rejection Control(ADRC)is established.And it can be used by longitudinal speed control of autonomous driving.Finally,the co-simulation of MATLAB/Simulink and GT-SUITE software verifies the effectiveness of the algorithm.And simulation results show that the control strategy proposed in this paper can save fuel up to 17.97% compared with the aggressive driver under the condition of green traffic light scene;and it is 17.29% under the condition of red traffic light scene.Compared with traffic light planning algorithm at fixed speed,the fuel save potential is 16.34% with traffic light restriction satisfied;but the fuel saving effect was not obvious under the condition of red traffic light scene.And it is not more than 3.9%.In summary,the eco-driving strategy proposed in this paper has certain effect of fuel saving.