Proceedings of the 2015 International Conference on Electrical, Automation and Mechanical Engineering

A New Optimal Velocity Control Function Considering Driver’s Anticipation Effect

Authors
B.G. Cao
Corresponding Author
B.G. Cao
Available Online July 2015.
DOI
10.2991/eame-15.2015.59How to use a DOI?
Keywords
optimal velocity; driver anticipation; referenced point; equilibrium
Abstract

Considering longitudinal spatial deviations from expected referenced equilibrium point (plan), a new two dimensional (2-d) optimal velocity function considering driver’s nonlinear adjustment effect is presented. We call it as super desired velocity, simplified as SDV. Unlike existing optimal velocity (OV) which is based on the absolute headway, SDV is dependent on referenced equilibrium headway, namely based on the relative headway. They are composed of two parts: desired velocity term and nonlinear adjustment term to reach the desired velocity value. The performance of new optimal velocity model is illustrated in detail by numerical simulation methods. The numerical simulation results show that SDV can model driver’s nonlinear anticipation better than the existing models.

Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2015 International Conference on Electrical, Automation and Mechanical Engineering
Series
Advances in Engineering Research
Publication Date
July 2015
ISBN
978-94-62520-71-4
ISSN
2352-5401
DOI
10.2991/eame-15.2015.59How to use a DOI?
Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - B.G. Cao
PY  - 2015/07
DA  - 2015/07
TI  - A New Optimal Velocity Control Function Considering Driver’s Anticipation Effect
BT  - Proceedings of the 2015 International Conference on Electrical, Automation and Mechanical Engineering
PB  - Atlantis Press
SP  - 218
EP  - 220
SN  - 2352-5401
UR  - https://doi.org/10.2991/eame-15.2015.59
DO  - 10.2991/eame-15.2015.59
ID  - Cao2015/07
ER  -