Mechanical Restriction Versus Human Overreaction: Accident Avoidance and Two-Lane Traffic Simulations
Andreas Pottmeier,
Christian Thiemann,
Andreas Schadschneider and
Michael Schreckenberg
Additional contact information
Andreas Pottmeier: Universität Duisburg-Essen, Physik von Transport und Verkehr
Christian Thiemann: Universität Duisburg-Essen, Physik von Transport und Verkehr
Andreas Schadschneider: Universität zu Köln, Institut für Theoretische Physik
Michael Schreckenberg: Universität Duisburg-Essen, Physik von Transport und Verkehr
A chapter in Traffic and Granular Flow’05, 2007, pp 503-508 from Springer
Abstract:
Summary Lee et.al. [1] have proposed a cellular automaton model that emphasizes the conflict between human overreaction and limited mechanical capabilities as the origin of congested traffic states. The limited acceleration and deceleration capabilities lead to a rather different approach to realize realistic traffic modeling. But the original model lacks the robustness and usability for more complicated and flexible simulations. In order to allow an extension of the model to two-lane traffic a modification of the original single-lane model is presented that ensures the absence of any collisions in the model dynamics.
Keywords: Dangerous Situation; Cellular Automaton Model; Lane Change; Security Criterion; Limited Acceleration (search for similar items in EconPapers)
Date: 2007
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-540-47641-2_46
Ordering information: This item can be ordered from
http://www.springer.com/9783540476412
DOI: 10.1007/978-3-540-47641-2_46
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().