Research on Taxi Driver Strategy Game Evolution with Carpooling Detour

Joint Authors

Ma, Changxi
Gao, Mingxia
Zhang, Wei
He, Ruichun

Source

Journal of Advanced Transportation

Issue

Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-8, 8 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2018-01-28

Country of Publication

Egypt

No. of Pages

8

Main Subjects

Civil Engineering

Abstract EN

For the problem of taxi carpooling detour, this paper studies driver strategy choice with carpooling detour.

The model of taxi driver strategy evolution with carpooling detour is built based on prospect theory and evolution game theory.

Driver stable strategies are analyzed under the conditions of complaint mechanism and absence of mechanism, respectively.

The results show that passenger’s complaint mechanism can effectively decrease the phenomenon of driver refusing passengers with carpooling detour.

When probability of passenger complaint reaches a certain level, the stable strategy of driver is to take carpooling detour passengers.

Meanwhile, limiting detour distance and easing traffic congestion can decrease the possibility of refusing passengers.

These conclusions have a certain guiding significance to formulating taxi policy.

American Psychological Association (APA)

Zhang, Wei& He, Ruichun& Ma, Changxi& Gao, Mingxia. 2018. Research on Taxi Driver Strategy Game Evolution with Carpooling Detour. Journal of Advanced Transportation،Vol. 2018, no. 2018, pp.1-8.
https://search.emarefa.net/detail/BIM-1181050

Modern Language Association (MLA)

Zhang, Wei…[et al.]. Research on Taxi Driver Strategy Game Evolution with Carpooling Detour. Journal of Advanced Transportation No. 2018 (2018), pp.1-8.
https://search.emarefa.net/detail/BIM-1181050

American Medical Association (AMA)

Zhang, Wei& He, Ruichun& Ma, Changxi& Gao, Mingxia. Research on Taxi Driver Strategy Game Evolution with Carpooling Detour. Journal of Advanced Transportation. 2018. Vol. 2018, no. 2018, pp.1-8.
https://search.emarefa.net/detail/BIM-1181050

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1181050