Modeling and intelligent control design of car following behavior in real traffic flow

2010 ◽  
Author(s):  
Alireza Khodayari ◽  
Reza Kazemi ◽  
Ali Ghaffari ◽  
Negin Manavizadeh
Keyword(s):  
Traffic Flow ◽  
Intelligent Control ◽  
Control Design ◽  
Car Following ◽  
Real Traffic

Development of Multiregime Speed–Density Relationships by Cluster Analysis

2005 ◽  
Vol 1934 (1) ◽  
pp. 64-71 ◽  
Author(s):  
Lu Sun ◽  
Jie Zhou
Keyword(s):  
Cluster Analysis ◽  
Traffic Flow ◽  
Ad Hoc ◽  
Data Sets ◽  
Traffic Data ◽  
Microscopic Traffic Simulation ◽  
Car Following ◽  
Data Segmentation ◽  
Essential Components ◽  
Real Traffic

Empirical speed–density relationships are important not only because of the central role that they play in macroscopic traffic flow theory but also because of their connection to car-following models, which are essential components of microscopic traffic simulation. Multiregime traffic speed– density relationships are more plausible than single-regime models for representing traffic flow over the entire range of density. However, a major difficulty associated with multiregime models is that the breakpoints of regimes are determined in an ad hoc and subjective manner. This paper proposes the use of cluster analysis as a natural tool for the segmentation of speed–density data. After data segmentation, regression analysis can be used to fit each data subset individually. Numerical examples with three real traffic data sets are presented to illustrate such an approach. Using cluster analysis, modelers have the flexibility to specify the number of regimes. It is shown that the K-means algorithm (where K represents the number of clusters) with original (nonstandardized) data works well for this purpose and can be conveniently used in practice.

scholarly journals Modelling and Simulation of the Car Following Behavior in Real Traffic Flow

2019 ◽  
Vol 8 (6) ◽  
pp. 580-586
Keyword(s):  
Traffic Flow ◽  
Modelling And Simulation ◽  
Highway Traffic ◽  
Car Following ◽  
Matlab Code ◽  
Simulink Model ◽  
Proposed Model ◽  
Traffic Scenario ◽  
Mathematical Equations ◽  
Real Traffic

In generally typical highway traffic scenario a vehicle, following vehicle ahead needs to maintain benign gap to avoid mishap. Accordingly speed of follower vehicle needs to be controlled keeping watch on variation of speed of vehicle ahead. In this paper a car follow model is designed and it is estimating the speed of follower vehicle with respect to that of vehicle ahead is presented. This paper brings out the details of mathematical equations of the proposed model along with implementation of same in Matlab Code as well using Simulink model

scholarly journals A New Macro Model Considering the Average Speed of Preceding Vehicles Group in CPS Environment

2015 ◽  
Vol 2015 ◽  
pp. 1-6
Author(s):  
Yi-rong Kang ◽  
Di-hua Sun ◽  
Shu-hong Yang
Keyword(s):  
Traffic Flow ◽  
Linear Stability ◽  
Linear Stability Theory ◽  
Average Speed ◽  
Car Following ◽  
Macro Model ◽  
Car Following Model ◽  
Macro Variables ◽  
The Relationship ◽  
Real Traffic

A new car following model considering the effect of average speed information of preceding vehicles group in real traffic is presented. Based on the new car following model, a new macro model for traffic flow is proposed employing the relationship between the micro and macro variables. The linear stability condition of the macro model is obtained by using the linear stability theory. The numerical tests show that the new model can not only simulate the dynamic process of shock, rarefaction wave, and small perturbation, but also can further stabilize the traffic flow.

An extended car-following model integrating average speed and electronic throttle dynamics of multiple preceding vehicles

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Shihao Li ◽  
Rongjun Cheng ◽  
Hongxia Ge ◽  
Pengjun Zheng
Keyword(s):  
Theoretical Analysis ◽  
Traffic Flow ◽  
Electronic Throttle ◽  
Content Type ◽  
Average Speed ◽  
The Real ◽  
Car Following ◽  
Car Following Model ◽  
The Stability ◽  
Real Traffic

Purpose The purpose of this study is to explore the influence of the electronic throttle (ET) dynamics and the average speed of multiple preceding vehicles on the stability of traffic flow. Design/methodology/approach An extended car-following model integrating the ET dynamics and the average speed of multiple preceding vehicles is presented in this paper. The novel model’s stability conditions are obtained by using the thought of control theory, and the modified Korteweg–de Vries equation is inferred in terms of the nonlinear analysis method. In addition, some simulation experiments are implemented to explore the properties of traffic flow, and the results of these experiments confirm the correctness of theoretical analysis. Findings In view of the results of theoretical analysis and numerical simulation, traffic flow will become more stable when the average speed and ET dynamics of multiple preceding vehicles are considered, and the stability of traffic flow will also be enhanced by increasing the number of preceding vehicles considered. Research limitations/implications This study leaves the factors such as the mixed traffic flow, the multilane and so on out of account in real road environment, which more or less influences the traffic flow’s stability, so the real traffic environment is not fully reflected. Originality/value There is little research integrating ET dynamics and the average velocity of multiple preceding vehicles to study the properties of traffic flow. The enhanced model constructed in this study can better reflect the real traffic, which can also give some theoretical reference for the development of connected and autonomous vehicles.

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