Research on collision-preventing decisions of oncoming vehicles
An emergency collision-preventing model is proposed for two vehicles driving from opposite directions. To study the impact of drivers’ strategies on traffic safety in this model, the relevant knowledge of game theory has been introduced. Based on the drivers’ strategies and payoff of every strategy,...
Main Authors: | , , |
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Format: | Article |
Language: | English |
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SAGE Publishing
2016-03-01
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Series: | Advances in Mechanical Engineering |
Online Access: | https://doi.org/10.1177/1687814016637521 |
_version_ | 1818556177616732160 |
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author | Hongfei Liu Ligang Wang Huan Liu |
author_facet | Hongfei Liu Ligang Wang Huan Liu |
author_sort | Hongfei Liu |
collection | DOAJ |
description | An emergency collision-preventing model is proposed for two vehicles driving from opposite directions. To study the impact of drivers’ strategies on traffic safety in this model, the relevant knowledge of game theory has been introduced. Based on the drivers’ strategies and payoff of every strategy, a game tree and a payoff matrix have been constructed. Mathematical method is applied to identify the pure-strategy Nash equilibrium and the mixed strategies Nash equilibrium. The occurrence probability of accidents under the Nash equilibrium is discussed here. The results suggest that under the pure-strategy Nash equilibrium, one driver must swerve. Furthermore, the probability of keeping original route is greater when drivers adopt the mixed strategies Nash equilibrium. The results presented in this article will provide some reference for drivers under similar conditions. |
first_indexed | 2024-12-13T23:44:02Z |
format | Article |
id | doaj.art-e72a87f78c7542fdad3edea6c2bb3aca |
institution | Directory Open Access Journal |
issn | 1687-8140 |
language | English |
last_indexed | 2024-12-13T23:44:02Z |
publishDate | 2016-03-01 |
publisher | SAGE Publishing |
record_format | Article |
series | Advances in Mechanical Engineering |
spelling | doaj.art-e72a87f78c7542fdad3edea6c2bb3aca2022-12-21T23:27:05ZengSAGE PublishingAdvances in Mechanical Engineering1687-81402016-03-01810.1177/168781401663752110.1177_1687814016637521Research on collision-preventing decisions of oncoming vehiclesHongfei Liu0Ligang Wang1Huan Liu2Traffic and Transportation College, Jilin University, Changchun, ChinaLiaoning Provincial College of Communications, Shenyang, ChinaTraffic and Transportation College, Jilin University, Changchun, ChinaAn emergency collision-preventing model is proposed for two vehicles driving from opposite directions. To study the impact of drivers’ strategies on traffic safety in this model, the relevant knowledge of game theory has been introduced. Based on the drivers’ strategies and payoff of every strategy, a game tree and a payoff matrix have been constructed. Mathematical method is applied to identify the pure-strategy Nash equilibrium and the mixed strategies Nash equilibrium. The occurrence probability of accidents under the Nash equilibrium is discussed here. The results suggest that under the pure-strategy Nash equilibrium, one driver must swerve. Furthermore, the probability of keeping original route is greater when drivers adopt the mixed strategies Nash equilibrium. The results presented in this article will provide some reference for drivers under similar conditions.https://doi.org/10.1177/1687814016637521 |
spellingShingle | Hongfei Liu Ligang Wang Huan Liu Research on collision-preventing decisions of oncoming vehicles Advances in Mechanical Engineering |
title | Research on collision-preventing decisions of oncoming vehicles |
title_full | Research on collision-preventing decisions of oncoming vehicles |
title_fullStr | Research on collision-preventing decisions of oncoming vehicles |
title_full_unstemmed | Research on collision-preventing decisions of oncoming vehicles |
title_short | Research on collision-preventing decisions of oncoming vehicles |
title_sort | research on collision preventing decisions of oncoming vehicles |
url | https://doi.org/10.1177/1687814016637521 |
work_keys_str_mv | AT hongfeiliu researchoncollisionpreventingdecisionsofoncomingvehicles AT ligangwang researchoncollisionpreventingdecisionsofoncomingvehicles AT huanliu researchoncollisionpreventingdecisionsofoncomingvehicles |