Research on Taxi Driver Strategy Game Evolution with Carpooling Detour
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 c...
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Format: | Article |
Language: | English |
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Wiley
2018-01-01
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Series: | Journal of Advanced Transportation |
Online Access: | http://dx.doi.org/10.1155/2018/2385936 |
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author | Wei Zhang Ruichun He Changxi Ma Mingxia Gao |
author_facet | Wei Zhang Ruichun He Changxi Ma Mingxia Gao |
author_sort | Wei Zhang |
collection | DOAJ |
description | 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. |
format | Article |
id | doaj-art-01b298f3cac04da694e6e011f869924b |
institution | Kabale University |
issn | 0197-6729 2042-3195 |
language | English |
publishDate | 2018-01-01 |
publisher | Wiley |
record_format | Article |
series | Journal of Advanced Transportation |
spelling | doaj-art-01b298f3cac04da694e6e011f869924b2025-02-03T01:10:15ZengWileyJournal of Advanced Transportation0197-67292042-31952018-01-01201810.1155/2018/23859362385936Research on Taxi Driver Strategy Game Evolution with Carpooling DetourWei Zhang0Ruichun He1Changxi Ma2Mingxia Gao3School of Traffic and Transportation, Lanzhou Jiaotong University, Lanzhou 730070, ChinaSchool of Traffic and Transportation, Lanzhou Jiaotong University, Lanzhou 730070, ChinaSchool of Traffic and Transportation, Lanzhou Jiaotong University, Lanzhou 730070, ChinaSchool of Traffic and Transportation, Lanzhou Jiaotong University, Lanzhou 730070, ChinaFor 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.http://dx.doi.org/10.1155/2018/2385936 |
spellingShingle | Wei Zhang Ruichun He Changxi Ma Mingxia Gao Research on Taxi Driver Strategy Game Evolution with Carpooling Detour Journal of Advanced Transportation |
title | Research on Taxi Driver Strategy Game Evolution with Carpooling Detour |
title_full | Research on Taxi Driver Strategy Game Evolution with Carpooling Detour |
title_fullStr | Research on Taxi Driver Strategy Game Evolution with Carpooling Detour |
title_full_unstemmed | Research on Taxi Driver Strategy Game Evolution with Carpooling Detour |
title_short | Research on Taxi Driver Strategy Game Evolution with Carpooling Detour |
title_sort | research on taxi driver strategy game evolution with carpooling detour |
url | http://dx.doi.org/10.1155/2018/2385936 |
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