The influence of the non-motor vehicles for the car-following model considering traffic jerk

2016 ◽  
Vol 463 ◽  
pp. 376-382 ◽  
Author(s):  
Yi Liu ◽  
Rong-jun Cheng ◽  
Li Lei ◽  
Hong-xia Ge
Keyword(s):  
Motor Vehicles ◽  
Car Following ◽  
Car Following Model ◽  
Traffic Jerk

TDGL and mKdV equations for car-following model considering traffic jerk and velocity difference

2016 ◽  
Vol 87 (3) ◽  
pp. 1809-1817 ◽  
Author(s):  
Han Song ◽  
Hongxia Ge ◽  
Fuzhou Chen ◽  
Rongjun Cheng
Keyword(s):  
Velocity Difference ◽  
Car Following ◽  
Car Following Model ◽  
Traffic Jerk

The car following model considering traffic jerk

2015 ◽  
Vol 433 ◽  
pp. 274-278 ◽  
Author(s):  
Hong-Xia Ge ◽  
Peng-jun Zheng ◽  
Wei Wang ◽  
Rong-Jun Cheng
Keyword(s):  
Car Following ◽  
Car Following Model ◽  
Traffic Jerk

TDGL and mKdV equations for car-following model considering traffic jerk

2015 ◽  
Vol 83 (1-2) ◽  
pp. 793-800 ◽  
Author(s):  
Fangxun Liu ◽  
Rongjun Cheng ◽  
Pengjun Zheng ◽  
Hongxia Ge
Keyword(s):  
Car Following ◽  
Car Following Model ◽  
Traffic Jerk

scholarly journals Analysis of V2V Messages for Car-Following Behavior with the Traffic Jerk Effect

2020 ◽  
Vol 2020 ◽  
pp. 1-11 ◽  
Author(s):  
Tenglong Li ◽  
Fei Hui ◽  
Ce Liu ◽  
Xiangmo Zhao ◽  
Asad J. Khattak
Keyword(s):  
Traffic Flow ◽  
Model Simulation ◽  
Flow Stability ◽  
Model Parameters ◽  
Car Following ◽  
Vehicle To Vehicle ◽  
Car Following Model ◽  
Traffic Flow Stability ◽  
Traffic Jerk ◽  
V2v Communications

The existing model of sudden acceleration changes, referred to as the traffic jerk effect, is mostly based on theoretical hypotheses, and previous research has mainly focused on traditional traffic flow. To this end, this paper investigates the change in the traffic jerk effect between inactive and active vehicle-to-vehicle (V2V) communications based on field experimental data. Data mining results show that the correlation between the jerk effect and the driving behavior increases by 50.6% on average when V2V messages are received. In light of the data analysis results, a new car-following model is proposed to explore the jerk effect in a connected environment. The model parameters are calibrated, and the results show that the standard deviation between the new model simulation data and the observed data decreases by 38.2% compared to that of the full velocity difference (FVD) model. Linear and nonlinear analyses of the calibrated model are then carried out to evaluate the connected traffic flow stability. Finally, the theoretical analysis is verified by simulation experiments. Both the theoretical and simulation results show that the headway amplitude and velocity fluctuations are reduced when considering the jerk effect in a connected environment, and the traffic flow stability is improved.

scholarly journals String Stability and Platoon Safety Analysis of a New Car-following Model Considering a Stabilization Strategy

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Mingfei Mu ◽  
Junjie Zhang ◽  
Changmiao Wang ◽  
Jun Zhang ◽  
Can Yang
Keyword(s):  
Safety Analysis ◽  
String Stability ◽  
Car Following ◽  
Car Following Model
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