Analysis of Urban Car Owners Commute Mode Choice Based on Evolutionary Game Model

Joint Authors

Gong, Huawei
Jin, Wenzhou

Source

Journal of Control Science and Engineering

Issue

Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-5, 5 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2015-02-26

Country of Publication

Egypt

No. of Pages

5

Main Subjects

Electronic engineering
Information Technology and Computer Science

Abstract EN

With the aggravation of the traffic congestion in the city, car owners will have to give up commuting with private cars and take the public transportation instead.

The paper uses the replication dynamic mechanism to simulate the learning and adjustment mechanism of the automobile owners commuting mode selection.

The evolutionary stable strategy is used to describe the long-term evolution of competition game trend.

Finally we simulate equilibrium and stability of an evolution of the game under a payoff imbalance situation.

The research shows that a certain proportion of car owners will choose public transit under the pressure of public transport development and heavy traffic, and the proportion will be closely related to the initial conditions and urban transportation development policy.

American Psychological Association (APA)

Gong, Huawei& Jin, Wenzhou. 2015. Analysis of Urban Car Owners Commute Mode Choice Based on Evolutionary Game Model. Journal of Control Science and Engineering،Vol. 2015, no. 2015, pp.1-5.
https://search.emarefa.net/detail/BIM-1067762

Modern Language Association (MLA)

Gong, Huawei& Jin, Wenzhou. Analysis of Urban Car Owners Commute Mode Choice Based on Evolutionary Game Model. Journal of Control Science and Engineering No. 2015 (2015), pp.1-5.
https://search.emarefa.net/detail/BIM-1067762

American Medical Association (AMA)

Gong, Huawei& Jin, Wenzhou. Analysis of Urban Car Owners Commute Mode Choice Based on Evolutionary Game Model. Journal of Control Science and Engineering. 2015. Vol. 2015, no. 2015, pp.1-5.
https://search.emarefa.net/detail/BIM-1067762

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1067762