Traffic on Bidirectional Ant Trails: Coarsening Behaviour and Fundamental Diagrams

John, Alexander; Kunwar, Ambarish; Namazi, Alireza; Schadschneider, Andreas; Chowdhury, Debashish; Nishinari, Katushiro

doi:10.1007/978-3-540-47641-2_22

Cited by 2 publications

(2 citation statements)

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“…Nevertheless, the techniques employed might also apply in a more general setup. The data obtained this way are compared with previous empirical results [4,3,21] and give some indications for more realistic extensions of the minimal models studied here which focus only on some key features of ant traffic (additional aspects related to non-equilibrium physics or the application to pedestrian dynamics are treated in [20,19]).…”

Section: Introductionmentioning

confidence: 90%

Characteristics of ant-inspired traffic flow: Applying the social insect metaphor to traffic models

John,

Schadschneider,

Chowdhury

et al. 2009

Preprint

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We investigate the organization of traffic flow on preexisting uni-and bidirectional ant trails. Our investigations comprise a theoretical as well as an empirical part. We propose minimal models of uni-and bidirectional traffic flow implemented as cellular automata. Using these models, the spatio-temporal organization of ants on the trail is studied. Based on this, some unusual flow characteristics which differ from those known from other traffic systems, like vehicular traffic or pedestrians dynamics, are found. The theoretical investigations are supplemented by an empirical study of bidirectional traffic on a trail of Leptogenys processionalis. Finally, we discuss some plausible implications of our observations from the perspective of flow optimization.

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Section: Introductionmentioning

confidence: 90%

Characteristics of ant-inspired traffic flow: Applying the social insect metaphor to traffic models

John,

Schadschneider,

Chowdhury

et al. 2009

Preprint

Self Cite

View full text Add to dashboard Cite

show abstract

“…The data obtained is compared with previous empirical results (Burd et al 2002;Burd 2006;Johnson and Rossi 2006) and give some indications for more realistic extensions of the minimal models studied here which focus only on some key features of ant traffic (additional aspects related to non-equilibrium physics or the application to pedestrian dynamics are treated in John et al 2007aJohn et al , 2007b. The data obtained is compared with previous empirical results (Burd et al 2002;Burd 2006;Johnson and Rossi 2006) and give some indications for more realistic extensions of the minimal models studied here which focus only on some key features of ant traffic (additional aspects related to non-equilibrium physics or the application to pedestrian dynamics are treated in John et al 2007aJohn et al , 2007b.…”

Section: Introductionmentioning

confidence: 95%

Characteristics of ant-inspired traffic flow

et al. 2008

Self Cite

View full text Add to dashboard Cite

We investigate the organization of traffic flow on preexisting uni-and bidirectional ant trails. Our investigations comprise a theoretical as well as an empirical part. We propose minimal models of uni-and bi-directional traffic flow implemented as cellular automata. Using these models, the spatio-temporal organization of ants on the trail is studied. Based on this, some unusual flow characteristics which differ from those known from other traffic systems, like vehicular traffic or pedestrians dynamics, are found. The theoretical investigations are supplemented by an empirical study of bidirectional traffic on a trail of Leptogenys processionalis. Finally, we discuss some plausible implications of our observations from the perspective of flow optimization.

show abstract

Traffic on Bidirectional Ant Trails: Coarsening Behaviour and Fundamental Diagrams

Cited by 2 publications

References 18 publications

Characteristics of ant-inspired traffic flow: Applying the social insect metaphor to traffic models

Characteristics of ant-inspired traffic flow: Applying the social insect metaphor to traffic models

Characteristics of ant-inspired traffic flow

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