Title
Modelling and Simulation for Safe Following Distance Based on Vehicle Braking Process
Abstract
The Safe following distance is closely associated with vehicle braking process. The braking process consists of three stages. The key problem in this research area is to quantitatively describe each stage. In this paper a framework is presented to model the safe following distance by analyzing the braking process. In this framework we focus on the third braking stage, continuous braking stage, where the random braking phase is complex and difficult to be quantitatively analyzed. Based on analyzing the following drivers' expectation in the car-following regime in details, we introduce the Hermit interpolation algorithm to understand the field car-following situation. The algorithm can deal with the kinematics information in the random braking phase. By using simulation, we have demonstrated that the modelling framework is practical, effective, more realistic than the former models, as well as avoids the rear-end collision to some extent. Meanwhile the proposed methodology can be used to identify the car-following driver behaviour characteristics and measure the safe distance in car-following regime.
Year
DOI
Venue
2010
10.1109/ICEBE.2010.66
ICEBE
Keywords
Field
DocType
braking,car-following regime,car-following driver behaviour characteristics,random braking phase,road safety,safe following distance,field car-following situation,vehicle braking process,traffic safety,rear-end collision,traffic control,modelling framework,kinematics information,simulation,driver behaviour,hermit interpolation algorithm,continuous braking,vehicle dynamics,safe following distance(sfd),hermite interpolation,hafnium,mathematical model
Kinematics,Rear-end collision,Computer science,Simulation,Interpolation,Collision,Vehicle dynamics
Conference
Volume
Issue
ISSN
null
null
null
ISBN
Citations 
PageRank 
978-0-7695-4227-0
1
0.37
References 
Authors
1
5
Name
Order
Citations
PageRank
Guangdong Feng1241.82
Wuhong Wang29413.30
Janshuai Feng310.37
Huachun Tan413210.03
Feng Li510.37