Traffic Games: Modeling Freeway Traffic with Game Theory

Cortés-Berrueco, Luis Enrique; Gershenson, Carlos; Stephens, Christopher R.

doi:10.1371/journal.pone.0165381

Cited by 23 publications

(8 citation statements)

References 30 publications

(56 reference statements)

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“…In recent years, computational modeling of social issues has been useful to understand the complexity of multidisciplinary problematics and have been taken force as simulations and modeling are good tools for prediction. The inclusion of agents characteristics and behaviors are helpful to improve previous models [8] and study emergence phenomena due to driving anger.…”

Section: Discussionmentioning

confidence: 99%

“…In the last three decades, traffic and human mobility in big cities have been topics of increasing interest for the social [1][2][3][4] and computer science [5][6][7][8]. These topics have been researched to understand the way that people move in the city through street networks [9][10][11][12] or public transportation networks [13][14][15], but also to understand people's behavior as they commute [16,17].…”

Section: Introductionmentioning

confidence: 99%

“…The study of driving anger (as an emotion and as the behavior attached to it) is essential as cities become denser, and interactions with others become more frequent. Under these circumstances, driver's emotions can affect the drivers' behavior, which can have effects on the global patterns of traffic [8] and can generate potential risks to others drivers, bikers or pedestrians [26,27].…”

Section: Introductionmentioning

confidence: 99%

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Anger while driving in Mexico City

et al. 2019

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This study aims to analyze the level of anger developed by drivers in Mexico City and also understand the behavior that those drivers use to express that anger, using four different survey methods. The first focuses on personal information, the second Driving Anger Expression Inventory (DAX), the third refers to a shorten version of Driving Anger Scale (DAS) and the fourth being the Dula Dangerous Driving Index (DDDI). These have previously been applied and validated in several different countries. The questionnaires were filled out online by 626 drivers. Using the data collected through the online platform, it was possible to identify the kind of reactions volunteers displayed while driving. Also, it was possible to identify that people in Mexico City developed anger depending on their driving area. Our analyses shows that in the Adaptive/Constructive Expression subscale, males and females show a significant difference in their mean score, with women express their anger in a more constructive way than males.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Anger while driving in Mexico City

et al. 2019

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“…Limitations of our study include the modeling of lane changes [ 36 – 38 ], traffic intersections [ 17 ], and different driving behaviors [ 39 ]. Still, in previous work, we have considered each of these sophistications, so it would be straightforward to include them in future work and evaluate whether these features might affect the results presented in this work.…”

Section: Discussionmentioning

confidence: 99%

Modeling adaptive reversible lanes: A cellular automata approach

et al. 2021

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Dealing with traffic congestion is one of the most pressing challenges for cities. Transport authorities have implemented several strategies to reduce traffic jams with varying degrees of success. The use of reversible lanes is a common approach to improve traffic congestion during rush hours. A reversible lane can change its direction during a time interval to the more congested direction. This strategy can improve traffic congestion in specific scenarios. Most reversible lanes in urban roads are fixed in time and number; however, traffic patterns in cities are highly variable and unpredictable due to this phenomenon’s complex nature. Therefore, reversible lanes may not improve traffic flow under certain circumstances; moreover, they could worsen it because of traffic fluctuations. In this paper, we use cellular automata to model adaptive reversible lanes(aka dynamic reversible lanes). Adaptive reversible lanes can change their direction using real-time information to respond to traffic demand fluctuations. Using real traffic data, our model shows that adaptive reversible lanes can improve traffic flow up to 40% compared to conventional reversible lanes. Our results show that there are significant fluctuations in traffic flow even during rush hours, and thus cities would benefit from implementing adaptive reversible lanes.

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“…Modelling freeway traffic, [72] investigated the evolution of cooperative and defective behaviour in lane change situations. They showed that as the difference between the velocity of cooperators and defectors decreases, the fraction of cooperators increases, i.e.…”

Section: Infocommunications Journalmentioning

confidence: 99%

Traffic Swarm Behaviour: Machine Learning and Game Theory in Behaviour Analysis

Hollósi¹,

Lukovszki²,

Bancsics³

et al. 2021

Infocommunications journal

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High density traffic on highways and city streets consists of endless interactions among participants. These interactions and the corresponding behaviours have great impact not only on throughput of traffic but also on safety, comfort and economy. Because of this, there is a great interest in deeper understanding of these interactions and concluding the impacts on traffic participants. This paper explores and maps the world of traffic behaviour analysis, especially researches focusing on groups of vehicles called traffic swarm, while presents the state-of-the-art methods and algorithms. The conclusion of this paper states that there are special areas of traffic behaviour analysis which have great research potential in the near future to describe traffic behaviour in more detail than present methods.

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Traffic Games: Modeling Freeway Traffic with Game Theory

Cited by 23 publications

References 30 publications

Anger while driving in Mexico City

Anger while driving in Mexico City

Modeling adaptive reversible lanes: A cellular automata approach

Traffic Swarm Behaviour: Machine Learning and Game Theory in Behaviour Analysis

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