Optimization of the Design of Pre-Signal System Using Improved Cellular Automaton
Joint Authors
Li, Yan
Li, Ke
Tao, Siran
Wan, Xia
Chen, Kuanmin
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-11-04
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
The pre-signal system can improve the efficiency of intersection approach under rational design.
One of the main obstacles in optimizing the design of pre-signal system is that driving behaviors in the sorting area cannot be well evaluated.
The NaSch model was modified by considering slow probability, turning-deceleration rules, and lane changing rules.
It was calibrated with field observed data to explore the interactions among design parameters.
The simulation results of the proposed model indicate that the length of sorting area, traffic demand, signal timing, and lane allocation are the most important influence factors.
The recommendations of these design parameters are demonstrated.
The findings of this paper can be foundations for the design of pre-signal system and show promising improvement in traffic mobility.
American Psychological Association (APA)
Li, Yan& Li, Ke& Tao, Siran& Wan, Xia& Chen, Kuanmin. 2014. Optimization of the Design of Pre-Signal System Using Improved Cellular Automaton. Computational Intelligence and Neuroscience،Vol. 2014, no. 2014, pp.1-11.
https://search.emarefa.net/detail/BIM-1034658
Modern Language Association (MLA)
Li, Yan…[et al.]. Optimization of the Design of Pre-Signal System Using Improved Cellular Automaton. Computational Intelligence and Neuroscience No. 2014 (2014), pp.1-11.
https://search.emarefa.net/detail/BIM-1034658
American Medical Association (AMA)
Li, Yan& Li, Ke& Tao, Siran& Wan, Xia& Chen, Kuanmin. Optimization of the Design of Pre-Signal System Using Improved Cellular Automaton. Computational Intelligence and Neuroscience. 2014. Vol. 2014, no. 2014, pp.1-11.
https://search.emarefa.net/detail/BIM-1034658
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1034658