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CLC number: U491.1+12

On-line Access: 2010-07-06

Received: 2009-06-24

Revision Accepted: 2009-11-27

Crosschecked: 2010-04-30

Cited: 7

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Journal of Zhejiang University SCIENCE A 2010 Vol.11 No.7 P.520-529

http://doi.org/10.1631/jzus.A0900370


Optimal velocity functions for car-following models


Author(s):  Milan Batista, Elen Twrdy

Affiliation(s):  Faculty of Maritime Studies and Transport, University of Ljubljana, 6320 Portorož, Slovenia

Corresponding email(s):   milan.batista@fpp.edu, elen.twrdy@fpp.uni-lj.si

Key Words:  Traffic flow, Car following, Optimal velocity function (OVF), Traffic congestion


Milan Batista, Elen Twrdy. Optimal velocity functions for car-following models[J]. Journal of Zhejiang University Science A, 2010, 11(7): 520-529.

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author="Milan Batista, Elen Twrdy",
journal="Journal of Zhejiang University Science A",
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doi="10.1631/jzus.A0900370"
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%A Elen Twrdy
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%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.A0900370

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T1 - Optimal velocity functions for car-following models
A1 - Milan Batista
A1 - Elen Twrdy
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EP - 529
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PB - Zhejiang University Press & Springer
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DOI - 10.1631/jzus.A0900370


Abstract: 
The integral part of the optimal velocity car-following models is the optimal velocity function (OVF), which can be derived from measured velocity-spacing data. This paper discusses several characteristics of the OVF and presents regression analysis on two classical datasets, the Lincoln and Holland tunnels, with different possible OVFs. The numerical simulation of the formation of traffic congestion is conducted with three different heuristic OVFs, demonstrating that these functions give results similar to those of the famous Bando OVF (Bando et al., 1995). Also an alternative method is present for determining the sensitivity and model parameters based on a single car driving to a fixed barrier.

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article

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