A Modified Full Velocity Difference Model with Acceleration and Deceleration Confinement: Calibrations, Validations, and Scenario Analyses

No Thumbnail Available
File version
Author(s)
Yu, Y
Jiang, R
Qu, X
Griffith University Author(s)
Primary Supervisor
Other Supervisors
Editor(s)
Date
2019
Size
File type(s)
Location
License
Abstract

The Full Velocity Difference (FVD) model is a well-recognized and widely-used time continuous car following model. Although the model has very good simulation performances in most cases, it is not applicable to some specific traffic scenarios, where it can generate very large or even overshooting accelerations or decelerations that are totally unnecessary and might be far beyond the acceleration/deceleration limits of real vehicles. In this paper, we explore the reason and attempt to correct it by proposing a confined Full Velocity Difference (c-FVD) model in which we limit the accelerations or decelerations generated by the existing FVD models to a reasonable level. The performances of both models are compared from both microscopic and macroscopic perspectives. The ability of the modified model to generate strong but reasonable decelerations to avoid accidents in urgent traffic scenarios is also validated. According to the comparative analyses, both models will have same performances in most cases while the c-FVD model will outperform the existing FVD model in certain scenarios where very large or overshooting accelerations or decelerations are involved.

Journal Title

IEEE Intelligent Transportation Systems Magazine

Conference Title
Book Title
Edition
Volume
Issue
Thesis Type
Degree Program
School
Patent number
Funder(s)
Grant identifier(s)
Rights Statement
Rights Statement
Item Access Status
Note
Access the data
Related item(s)
Subject

Information systems

Persistent link to this record
Citation

Yu, Y; Jiang, R; Qu, X, A Modified Full Velocity Difference Model with Acceleration and Deceleration Confinement: Calibrations, Validations, and Scenario Analyses, IEEE Intelligent Transportation Systems Magazine, 2019

Collections