Modeling the Morning Commute Problem in a Bottleneck Model Based on Personal Perception

Joint Authors

Sun, Huijun
Guo, Xiao

Source

Journal of Advanced Transportation

Issue

Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-12, 12 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2019-04-01

Country of Publication

Egypt

No. of Pages

12

Main Subjects

Civil Engineering

Abstract EN

This paper studies the travel behavior of travelers who drive from the living area through the highway to the work area during the morning rush hours.

The bottleneck model based on personal perception travel behavior has been investigated.

Based on their willingness to arrive early, travelers can be divided into two categories: active travelers and negative travelers.

Three possible situations have been considered based on travelers’ personal perception.

Travelers’ travel choice behaviors are analyzed in detail and equilibrium is achieved with these three situations.

The numerical examples show that the departure time choice of the travelers is related not only to the proportion of each type of travelers, but also to personal perceived size.

American Psychological Association (APA)

Guo, Xiao& Sun, Huijun. 2019. Modeling the Morning Commute Problem in a Bottleneck Model Based on Personal Perception. Journal of Advanced Transportation،Vol. 2019, no. 2019, pp.1-12.
https://search.emarefa.net/detail/BIM-1170010

Modern Language Association (MLA)

Guo, Xiao& Sun, Huijun. Modeling the Morning Commute Problem in a Bottleneck Model Based on Personal Perception. Journal of Advanced Transportation No. 2019 (2019), pp.1-12.
https://search.emarefa.net/detail/BIM-1170010

American Medical Association (AMA)

Guo, Xiao& Sun, Huijun. Modeling the Morning Commute Problem in a Bottleneck Model Based on Personal Perception. Journal of Advanced Transportation. 2019. Vol. 2019, no. 2019, pp.1-12.
https://search.emarefa.net/detail/BIM-1170010

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1170010