Estimation of Critical Gap Based on Raff’s Definition

Joint Authors

Guo, Rui-jun
Wang, Xiao-jing
Wang, Wan-xiang

Source

Computational Intelligence and Neuroscience

Issue

Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-7, 7 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2014-11-09

Country of Publication

Egypt

No. of Pages

7

Main Subjects

Biology

Abstract EN

Critical gap is an important parameter used to calculate the capacity and delay of minor road in gap acceptance theory of unsignalized intersections.

At an unsignalized intersection with two one-way traffic flows, it is assumed that two events are independent between vehicles’ arrival of major stream and vehicles’ arrival of minor stream.

The headways of major stream follow M3 distribution.

Based on Raff’s definition of critical gap, two calculation models are derived, which are named M3 definition model and revised Raff’s model.

Both models use total rejected coefficient.

Different calculation models are compared by simulation and new models are found to be valid.

The conclusion reveals that M3 definition model is simple and valid.

Revised Raff’s model strictly obeys the definition of Raff’s critical gap and its application field is more extensive than Raff’s model.

It can get a more accurate result than the former Raff’s model.

The M3 definition model and revised Raff’s model can derive accordant result.

American Psychological Association (APA)

Guo, Rui-jun& Wang, Xiao-jing& Wang, Wan-xiang. 2014. Estimation of Critical Gap Based on Raff’s Definition. Computational Intelligence and Neuroscience،Vol. 2014, no. 2014, pp.1-7.
https://search.emarefa.net/detail/BIM-1016718

Modern Language Association (MLA)

Guo, Rui-jun…[et al.]. Estimation of Critical Gap Based on Raff’s Definition. Computational Intelligence and Neuroscience No. 2014 (2014), pp.1-7.
https://search.emarefa.net/detail/BIM-1016718

American Medical Association (AMA)

Guo, Rui-jun& Wang, Xiao-jing& Wang, Wan-xiang. Estimation of Critical Gap Based on Raff’s Definition. Computational Intelligence and Neuroscience. 2014. Vol. 2014, no. 2014, pp.1-7.
https://search.emarefa.net/detail/BIM-1016718

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1016718