Cooperation and Defection at the Crossroads

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Abstract

We study a simple traffic model with a non-signalized road intersection. In this model the car arriving from the right has precedence. The vehicle dynamics far from the crossing are governed by the rules introduced by Nagel and Paczuski, which define how drivers behave when braking or accelerating. We measure the average velocity of the ensemble of cars and its flow as a function of the density of cars on the roadway. An additional set of rules is defined to describe the dynamics at the intersection assuming a fraction of drivers that do not obey the rule of precedence. This problem is treated within a game-theory framework, where the drivers that obey the rule are cooperators and those who ignore it are defectors. We study the consequences of these behaviors as a function of the fraction of cooperators and defectors. The results show that cooperation is the best strategy because it maximizes the flow of vehicles and minimizes the number of accidents. A rather paradoxical effect is observed: for any percentage of defectors the number of accidents is larger when the density of cars is low because of the higher average velocity. © 2013 Abramson et al.

Figures

  • Figure 1. Two intersecting streets. Cartoon showing the geometry of the model and basic notation. doi:10.1371/journal.pone.0061876.g001
  • Figure 2. The ordering effect of the intersection. Plot of the car’s positions (horizontal axis) as a function of time (vertical axis) for p~q~0:5, pc~0:5, r~0:2. Cars move from left to right and the time increases downwards. A: Nagel-Paczuski model [1]; B: our model (street 1). Empty sites are represented by white dots, sites that are occupied by a car are represented by a specific colored dot, where different colors correspond to different velocities. Red dots stand for the cars with velocity v~1, orange for v~2, yellow for v~3, green for v~4, blue for v~5, and black for v~0. Note the backward motion of the traffic jams. doi:10.1371/journal.pone.0061876.g002
  • Figure 3. The three phases of traffic. The flow as a function of the density in streets s1 [A and C] and s2 [B and D]. A system with p~q~0:9 appears in the left column [A and B], with the more noisy case of p~q~0:5 shown next to it [C and D]. The curves show the behavior for three different values of the probability of cooperation pc : 0, 0.5 and 1, as shown in the legends. doi:10.1371/journal.pone.0061876.g003
  • Figure 4. The effect of cooperation. The total flow w vs. the probability of cooperation pc , for different values of the density. For small and medium densities the flow is not monotonous, showing a maximum at an intermediate value of pc . For high densities the flow decreases with pc . doi:10.1371/journal.pone.0061876.g004
  • Figure 6. Crashes. Number of crashes per cars per unit time, as a function of density. The curves correspond to the case p~q~0:5, for three values of the density of cooperators (as shown in the legend). doi:10.1371/journal.pone.0061876.g006
  • Figure 5. The distribution of velocity as a function of density.
  • Figure 7. Correlation between crashes and flow. Relation between the flow and the number of crashes per car and per unit time for p~q~0:9 and two values of pc. In the right panel (B), follow the direction of the arrow when reading the description in the text. doi:10.1371/journal.pone.0061876.g007
  • Figure 8. Universality of crashes and cooperation. Crashes vs pc in the case p~q~0:9, shown for four values of vehicle density. doi:10.1371/journal.pone.0061876.g008

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CITATION STYLE

APA

Abramson, G., Semeshenko, V., & Iglesias, J. R. (2013). Cooperation and Defection at the Crossroads. PLoS ONE, 8(4). https://doi.org/10.1371/journal.pone.0061876

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