Full velocity difference model for a car-following theory

2001 ◽  
Vol 64 (1) ◽  
Author(s):  
Rui Jiang ◽  
Qingsong Wu ◽  
Zuojin Zhu
Keyword(s):  
Difference Model ◽  
Velocity Difference ◽  
Car Following

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.

Relative velocity difference model for the car-following theory

2017 ◽  
Vol 91 (3) ◽  
pp. 1415-1428 ◽  
Author(s):  
Shaowei Yu ◽  
Jinjun Tang ◽  
Qi Xin
Keyword(s):  
Relative Velocity ◽  
Difference Model ◽  
Velocity Difference ◽  
Car Following

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.

Optimal velocity difference model for a car-following theory

2011 ◽  
Vol 375 (45) ◽  
pp. 3973-3977 ◽  
Author(s):  
G.H. Peng ◽  
X.H. Cai ◽  
C.Q. Liu ◽  
B.F. Cao ◽  
M.X. Tuo
Keyword(s):  
Difference Model ◽  
Velocity Difference ◽  
Optimal Velocity ◽  
Car Following

New full velocity difference model considering the driver’s heterogeneity of the disturbance risk preference for car-following theory

2016 ◽  
Vol 30 (01) ◽  
pp. 1550241 ◽  
Author(s):  
You-Zhi Zeng ◽  
Ning Zhang
Keyword(s):  
Traffic Flow ◽  
Traffic Congestion ◽  
Flow Instability ◽  
Risk Preference ◽  
Difference Model ◽  
Velocity Difference ◽  
Absolute Size ◽  
Car Following ◽  
Preceding Vehicle ◽  
Preference Coefficient

This paper proposes a new full velocity difference model considering the driver’s heterogeneity of the disturbance risk preference for car-following theory to investigate the effects of the driver’s heterogeneity of the disturbance risk preference on traffic flow instability when the driver reacts to the relative velocity. We obtain traffic flow instability condition and the calculation method of the unstable region headway range and the probability of traffic congestion caused by a small disturbance. The analysis shows that has important effects the driver’s heterogeneity of the disturbance risk preference on traffic flow instability: (1) traffic flow instability is independent of the absolute size of the driver’s disturbance risk preference coefficient and depends on the ratio of the preceding vehicle driver’s disturbance risk preference coefficient to the following vehicle driver’s disturbance risk preference coefficient; (2) the smaller the ratio of the preceding vehicle driver’s disturbance risk preference coefficient to the following vehicle driver’s disturbance risk preference coefficient, the smaller traffic flow instability and vice versa. It provides some viable ideas to suppress traffic congestion.

scholarly journals Car-following Model of Connected Cruise Control Vehicles to Mitigate Traffic Oscillations

2019 ◽  
Vol 31 (6) ◽  
pp. 603-610
Author(s):  
Yanyan Qin ◽  
Hao Wang ◽  
Quan Chen ◽  
Bin Ran
Keyword(s):  
Cruise Control ◽  
Difference Model ◽  
Velocity Difference ◽  
Electronic Throttle ◽  
Car Following ◽  
Time Simulation ◽  
Proposed Model ◽  
Car Following Model ◽  
Traffic Oscillations ◽  
Better Than

With the aim of mitigating traffic oscillations, this paper extends a car-following model for Connected Cruise Control (CCC) systems by considering electronic throttle angles of multiple cars ahead. The linear stability condition of the proposed model is derived and numerical simulations are performed. It has been found that the proposed model is prominently better than the previous model, i.e. full velocity difference model, from the perspective of mitigating traffic oscillations. Additionally, the proposed model can also reduce fuel consumption, emissions, i.e. CO, HC and NOX, safety risk, and improve driving comfort at the same time. Simulation results suggest that the CCC car-following control design should consider the effect of multiple electronic throttle angles from the preceding cars.

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.

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