Honk Effect on Two-Lane Traffic Flow Considering Driver Behaviors

ICTIS 2013 ◽  
2013 ◽  
Author(s):  
Kun Xu ◽  
Qian Ruan ◽  
Huachun Luo
Keyword(s):  
Traffic Flow ◽  
Honk Effect

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.

Impact of the honk effect on the stability of traffic flow

2011 ◽  
Vol 390 (20) ◽  
pp. 3362-3368 ◽  
Author(s):  
T.Q. Tang ◽  
C.Y. Li ◽  
Y.H. Wu ◽  
H.J. Huang
Keyword(s):  
Traffic Flow ◽  
The Stability ◽  
Honk Effect

A NEW LATTICE MODEL OF TRAFFIC FLOW WITH THE CONSIDERATION OF THE HONK EFFECT

2011 ◽  
Vol 22 (09) ◽  
pp. 967-976 ◽  
Author(s):  
GUANGHAN PENG ◽  
XINHUA CAI ◽  
CHANGQING LIU ◽  
BINFANG CAO
Keyword(s):  
Phase Transition ◽  
Traffic Flow ◽  
Lattice Model ◽  
Kdv Equation ◽  
Stable Region ◽  
Unstable Region ◽  
Traffic Jam ◽  
Flow Through ◽  
The Stability ◽  
Honk Effect

In this paper, a new lattice model is presented with the consideration of the honk effect. The stability condition is obtained by the linear stability analysis. The modified Korteweg–de Vries (KdV) equation is derived to describe the phase transition of traffic flow through nonlinear analysis. The space is divided into three regions: the stable region, the metastable region and the unstable region, respectively. And numerical simulation is carried out to validate the analytic results. The results implied that the honk effect could stabilize traffic flow and suppress the traffic jam in lattice model of traffic flow.

The Analysis of Traffic Flow State on Foggy Expressway Based on Fuzzy Clustering

ICCTP 2009 ◽  
2009 ◽  
Author(s):  
Jianjun Wang ◽  
Chenfeng Xie ◽  
Zhenwen Chang ◽  
Jingjing Zhang
Keyword(s):  
Traffic Flow ◽  
Fuzzy Clustering ◽  
Flow State

Study on Discrete Autonomous Traffic Flow Model with Zero-Order Hold

CICTP 2020 ◽  
2020 ◽  
Author(s):  
Lidong Zhang ◽  
Wenxing Zhu ◽  
Mengmeng Zhang ◽  
Cuijiao Chen
Keyword(s):  
Traffic Flow ◽  
Flow Model ◽  
Zero Order ◽  
Traffic Flow Model
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