Optimization of the Design of Pre-Signal System Using Improved Cellular Automaton

المؤلفون المشاركون

Li, Yan
Li, Ke
Tao, Siran
Wan, Xia
Chen, Kuanmin

المصدر

Computational Intelligence and Neuroscience

العدد

المجلد 2014، العدد 2014 (31 ديسمبر/كانون الأول 2014)، ص ص. 1-11، 11ص.

الناشر

Hindawi Publishing Corporation

تاريخ النشر

2014-11-04

دولة النشر

مصر

عدد الصفحات

11

التخصصات الرئيسية

الأحياء

الملخص 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.

نمط استشهاد جمعية علماء النفس الأمريكية (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

نمط استشهاد الجمعية الأمريكية للغات الحديثة (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

نمط استشهاد الجمعية الطبية الأمريكية (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

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references

رقم السجل

BIM-1034658