Complex traffic flow that allows as well as hampers lane-changing intrinsically contains social-dilemma structures

Iwamura, Yoshiro; Tanimoto, Jun

doi:10.1088/1742-5468/aaa8ff

Cited by 25 publications

(6 citation statements)

References 30 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Our new SED concept (defined above and mathematically formulated blow) was inspired by the seminal idea of traffic flow analysis (e.g. [56][57][58][59][60][61][62]). The DS indicates the existence or absence of a social dilemma (behaving as a prognostic index), whereas the SED provides an 'ex post' or diagnostic index.…”

Section: Resultsmentioning

confidence: 99%

Modelling and analysing the coexistence of dual dilemmas in the proactive vaccination game and retroactive treatment game in epidemic viral dynamics

Kabir

Tanimoto

2019

Proc. R. Soc. A.

Self Cite

View full text Add to dashboard Cite

The dynamics of a spreadable disease are largely governed by four factors: proactive vaccination, retroactive treatment, individual decisions, and the prescribing behaviour of physicians. Under the imposed vaccination policy and antiviral treatment in society, complex factors (costs and expected effects of the vaccines and treatments, and fear of being infected) trigger an emulous situation in which individuals avoid infection by the pre-emptive or ex post provision. Aside from the established voluntary vaccination game, we propose a treatment game model associated with the resistance evolution of antiviral/antibiotic overuse. Moreover, the imperfectness of vaccinations has inevitably led to anti-vaccine behaviour, necessitating a proactive treatment policy. However, under the excessively heavy implementation of treatments such as antiviral medicine, resistant strains emerge. The model explicitly exhibits a dual social dilemma situation, in which the treatment behaviour changes on a local time scale, and the vaccination uptake later evolves on a global time scale. The impact of resistance evolution and the coexistence of dual dilemmas are investigated by the control reproduction number and the social efficiency deficit, respectively. Our investigation might elucidate the substantial impacts of both vaccination and treatment in the framework of epidemic dynamics, and hence suggest the appropriate use of antiviral treatment.

show abstract

Section: Resultsmentioning

confidence: 99%

Modelling and analysing the coexistence of dual dilemmas in the proactive vaccination game and retroactive treatment game in epidemic viral dynamics

Kabir

Tanimoto

2019

Proc. R. Soc. A.

Self Cite

View full text Add to dashboard Cite

show abstract

“…The premise of the previous U-turn model to deal with whether the driver makes a U-turn is that the U-turn vehicle does not affect the following vehicle after U-turn, but in practice the drivers expect to go ahead because of egoism, which triggers a game strategy that is not conducive to the efficiency of traffic flow and makes the social dilemma structure in the U-turn behavior. The U-turn game is the same as the lane changing game [34][35][36]; there are social dilemmas hidden behind the traffic flow.…”

Section: Solution Of the Utg Model As Shown Inmentioning

confidence: 99%

“…Tanimoto et al [34][35][36] studied the types of social dilemma structures under different traffic flow densities. The difference is that we studied the types of social dilemma structures under the Nash Equilibrium influenced by various variables.…”

Section: Solution Of the Utg Model As Shown Inmentioning

confidence: 99%

Game Theory Modelling for Vehicle U-Turn Behavior and Simulation Based on Cellular Automata

Liang

Luo

et al. 2018

Discrete Dynamics in Nature and Society

View full text Add to dashboard Cite

In order to analyze the effect of U-turn vehicle on traffic performance, the work develops a game theory-based description of drivers’ interactions in U-turn scene, considering the decision-making uncertainty. The hybrid strategy of the game is obtained. The relevant parameters of model are calibrated by collected video data in Changchun, China. A two-way four-lane cellular automaton model with the game model imbedded is constructed for identifying the effect of U-turn vehicle on traffic performance. The influencing factors are identified with their correlation analyzed by numerical simulation of different traffic conditions. According to the simulation results, U-turn traffic has a significant influence on traffic delay in the lane of same direction, compared with opposite direction. The severity of conflict between vehicles is classified and the causes are identified by analyzing the arrival rate of the U-turn vehicle and the conflicting straight vehicle and the relationship with one another. In addition, the threshold of traffic flow causing traffic conflict and traffic delay are proposed. The results show that the proposed models reconstructed the traits of traffic flow and conflict phenomenon in the presence of U-turn vehicles on road section.

show abstract

“…However, the literature that focuses on the evolutionary game theory-based lane-changing models is limited [28]. Lwamura and Tanimoto discussed the interactions between social vehicles on the highway by applying the evolutionary game theory, and the result implied that a social dilemma was hidden in the lane changing [29]. On this basis, Tanimoto et al analyzed the lane-changing behaviors of social vehicles in different scenarios, such as human-driven and autonomous driving environments [30].…”

Section: Introductionmentioning

confidence: 99%

Evolutionary Dynamics of Mandatory Lane Changing for Bus Exiting

Yao

et al. 2021

Journal of Advanced Transportation

View full text Add to dashboard Cite

With the development of the connected autonomous bus, the interactions between the bus and social vehicle during the mandatory lane changing for bus exiting become more diverse and complex. This research investigates the evolutionary dynamics of behavioral decision-making for the bus and social vehicle in different scenarios. The evolutionary game model for the connected autonomous bus and social vehicle is built, as do the human-driven bus and social vehicle, and the connected autonomous bus under different penetration rates and social vehicle. The results of numerical experiments reveal that the connected autonomous bus chooses to change lanes in most instances, and the strategies of the human-driven bus show conservative tendencies. Such tendencies are weakened when the connected autonomous bus and human-driven bus are mixed. As for the social vehicle in different scenarios, the strategies that balance overall traffic safety and efficiency are promoted. This research provides some references for intelligent decision-making of lane changing in urban public transportation.

show abstract

Complex traffic flow that allows as well as hampers lane-changing intrinsically contains social-dilemma structures

Cited by 25 publications

References 30 publications

Modelling and analysing the coexistence of dual dilemmas in the proactive vaccination game and retroactive treatment game in epidemic viral dynamics

Modelling and analysing the coexistence of dual dilemmas in the proactive vaccination game and retroactive treatment game in epidemic viral dynamics

Game Theory Modelling for Vehicle U-Turn Behavior and Simulation Based on Cellular Automata

Evolutionary Dynamics of Mandatory Lane Changing for Bus Exiting

Contact Info

Product

Resources

About