Anticipation Driving Behavior in Car Following Theory

2014 ◽  
Vol 505-506 ◽  
pp. 1133-1136
Author(s):  
Feng Lv ◽  
Cai Hong Ye ◽  
Hong Xia Ge
Keyword(s):  
Traffic Flow ◽  
Critical Phenomenon ◽  
Driving Behavior ◽  
Thermodynamic Theory ◽  
Analysis Method ◽  
Difference Model ◽  
Velocity Difference ◽  
Ginzburg Landau ◽  
Car Following ◽  
Car Following Model

In this paper, a new anticipation driving car-following model (AD-TVDM) is presented based on the two velocity difference model (TVDM)[1], taking into the effect of anticipation driving behavior in real world. The nature of the model is investigated by using linear and nonlinear analysis method. A thermodynamic theory is formulated to describe the phase transition and critical phenomenon in traffic flow and the time-dependent Ginzburg-Landau (TDGL) equation is derived to describe the traffic flow near the critical point.

scholarly journals A Modified Car-following Model Considering Traffic Density and Acceleration of Leading Vehicle

2020 ◽  
Vol 10 (4) ◽  
pp. 1268
Author(s):  
Xudong Cao ◽  
Jianjun Wang ◽  
Chenchen Chen
Keyword(s):  
Traffic Flow ◽  
Linear Stability Theory ◽  
Traffic Density ◽  
Neutral Stability ◽  
Difference Model ◽  
Velocity Difference ◽  
Car Following ◽  
Car Following Model ◽  
The Difference ◽  
Improved Model

Although the difference between the velocity of two successive vehicles is considered in the full velocity difference model (FVDM), more status information from preceding vehicles affecting the behavior of car-following has not been effectively utilized. For improving the performance of the FVDM, an extended modified car-following model taking into account traffic density and the acceleration of a leading vehicle (DAVD, density and acceleration velocity difference model) is presented under the condition of vehicle-to-vehicle (V2V) communications. Stability in the developed model is derived through applying linear stability theory. The curves of neutral stability for the improved model indicate that when the driver pays more attention to the traffic status in front, the traffic flow stability region is larger. Numerical simulation illustrates that traffic flow disturbance could be suppressed by gaining more information on preceding vehicles.

A New Car-Following Model with the Consideration of the Leader’s Acceleration

2015 ◽  
Vol 738-739 ◽  
pp. 489-492
Author(s):  
Tong Zhou ◽  
Yu Xuan Li ◽  
Zhan Wei Bai
Keyword(s):  
Numerical Simulation ◽  
Traffic Flow ◽  
Linear Stability ◽  
Linear Stability Theory ◽  
Difference Model ◽  
Velocity Difference ◽  
Optimal Velocity ◽  
New Model ◽  
Car Following ◽  
Car Following Model

Based on the optimal velocity difference model (for short, OVDM) proposed by Peng et al., a new car-following model is presented by considering the leading cars’ acceleration. The linear stability condition of the new model is obtained by using the linear stability theory. Numerical simulation shows that the new model can avoid the disadvantage of negative velocity occurred in the OVDM by adjusting the coefficient of the leaders acceleration and can stabilize traffic flow more effectively.

Nonlinear analysis of the individual difference corresponding to honk effect for car-following theory under V2X environment

2020 ◽  
Vol 31 (11) ◽  
pp. 2050157
Author(s):  
Guanghan Peng ◽  
Li Qing
Keyword(s):  
Numerical Simulation ◽  
Traffic Flow ◽  
Individual Difference ◽  
Driving Behavior ◽  
Flow Dynamics ◽  
Traffic Modeling ◽  
Car Following ◽  
Car Following Model ◽  
The Individual ◽  
Honk Effect

Originally, we would like to use traffic modeling for car-following model to recover the individual difference of driving behavior corresponding to honk effect under V2X environment. Traffic stability is related to the individual difference resulting from the honk effect, which states that the individual difference of honk effect plays a different significant impact on the traffic stability. Furthermore, the slowly varying behaviors are closely consistent with the individual difference corresponding to the honk effect for long waves. Numerical simulation indicates that the individual difference of driving behavior plays a different role on traffic flow dynamics under honk environment in car-following model.

THE TDGL EQUATION FOR CAR-FOLLOWING MODEL WITH CONSIDERATION OF THE TRAFFIC INTERRUPTION PROBABILITY

2012 ◽  
Vol 23 (07) ◽  
pp. 1250053 ◽  
Author(s):  
HONG-XIA GE ◽  
YI-QIANG ZHANG ◽  
HUA KUANG ◽  
SIU-MING LO
Keyword(s):  
Traffic Flow ◽  
Reductive Perturbation Method ◽  
Ginzburg Landau ◽  
Car Following ◽  
Second Derivatives ◽  
Spinodal Line ◽  
Car Following Model ◽  
Tdgl Equation ◽  
The Stability ◽  
Derivatives Of

A car-following model which involves the effects of traffic interruption probability is further investigated. The stability condition of the model is obtained through the linear stability analysis. The reductive perturbation method is taken to derive the time-dependent Ginzburg–Landau (TDGL) equation to describe the traffic flow near the critical point. Moreover, the coexisting curve and the spinodal line are obtained by the first and second derivatives of the thermodynamic potential, respectively. The analytical results show that considering the interruption effects could further stabilize traffic flow.

Fuel consumptions and exhaust emissions induced by cooperative adaptive cruise control strategies

2015 ◽  
Vol 29 (14) ◽  
pp. 1550084 ◽  
Author(s):  
Shaowei Yu ◽  
Zhongke Shi
Keyword(s):  
Adaptive Cruise Control ◽  
Control Strategies ◽  
Exhaust Emissions ◽  
Cruise Control ◽  
Difference Model ◽  
Velocity Difference ◽  
Car Following ◽  
Road Traffic Safety ◽  
Cooperative Adaptive Cruise Control ◽  
Car Following Model

Many cooperative adaptive cruise control strategies have been presented to improve traffic efficiency as well as road traffic safety, but scholars have rarely explored the impacts of these strategies on cars' fuel consumptions and exhaust emissions. In this paper, we respectively select two-velocity difference model, multiple velocity difference model and the car-following model considering multiple preceding cars' accelerations to investigate each car's fuel consumptions, carbon monoxide (CO), hydrocarbons (HC) and nitrogen oxides ( NO X ) emissions and carry out comparative analysis. The comparisons of fuel consumptions and exhaust emissions in three different cruise control strategies show that cooperative cars simulated by the car-following model considering multiple preceding cars' accelerations can run with the minimal fuel consumptions, CO, HC and NO X emissions, thus, taking the car-following model considering multiple preceding cars' accelerations as the cooperative adaptive cruise control strategy can significantly improve cars' fuel efficiency and exhaust emissions.

Lane-changing behavior and its effect on energy dissipation using full velocity difference model

2015 ◽  
Vol 27 (02) ◽  
pp. 1650013 ◽  
Author(s):  
Jian Wang ◽  
Jian-Xun Ding ◽  
Qin Shi ◽  
Reinhart D. Kühne
Keyword(s):  
Energy Dissipation ◽  
Urban Traffic ◽  
Security Requirements ◽  
Difference Model ◽  
Fundamental Diagram ◽  
Velocity Difference ◽  
Lane Changing ◽  
Car Following ◽  
Car Following Model ◽  
Specific Speed

In real urban traffic, roadways are usually multilane with lane-specific velocity limits. Most previous researches are derived from single-lane car-following theory which in the past years has been extensively investigated and applied. In this paper, we extend the continuous single-lane car-following model (full velocity difference model) to simulate the three-lane-changing behavior on an urban roadway which consists of three lanes. To meet incentive and security requirements, a comprehensive lane-changing rule set is constructed, taking safety distance and velocity difference into consideration and setting lane-specific speed restriction for each lane. We also investigate the effect of lane-changing behavior on distribution of cars, velocity, headway, fundamental diagram of traffic and energy dissipation. Simulation results have demonstrated asymmetric lane-changing “attraction” on changeable lane-specific speed-limited roadway, which leads to dramatically increasing energy dissipation.

An improved car-following model considering forecast speed difference with delay time

2019 ◽  
Vol 33 (33) ◽  
pp. 1950414 ◽  
Author(s):  
Y. Zhang ◽  
Wei Xiang ◽  
Jun Dong ◽  
Wei Wang
Keyword(s):  
Delay Time ◽  
Wave Speed ◽  
Original Model ◽  
Kinematic Wave ◽  
Difference Model ◽  
Velocity Difference ◽  
Car Following ◽  
Speed Difference ◽  
Car Following Model ◽  
Acceleration And Deceleration

It is well known that drivers can adjust their speeds based on forecasted traffic states in driving process, and this forecast behavior affects traffic features. In this paper, an improved car-following model with delay time, by incorporating the behavior of forecast speed difference, is proposed from the full velocity difference model. Its linear steady condition is deduced. Numerical simulations indicate that values of acceleration and deceleration of new model are more reasonable than those of the original model in starting and braking processes, and the kinematic wave speed is proper. Moreover, the behavior of forecast speed difference is found not only to smoothen the traffic fluctuation, but also to reduce the energy consumption in stable and unstable cases.

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