Europhysics Letters (EPL) · 2005 · 11 citations · 16 references
EngineeringMathematicsDynamical SystemsProbability TheoryStochastic ProcessesMarkov ChainsMarkov ProcessesPercolation TheoryStatistical MechanicsTraffic Flow TheoryInteracting Particle SystemsLane-changing ModelsMicroscopic Traffic Modeling
Motivated by an analogy with traffic, we simulate two species of particles (`vehicles'), moving stochastically in opposite directions on a two-lane ring road. Each species prefers one lane over the other, controlled by a parameter $0 \leq b \leq 1$ such that $b=0$ corresponds to random lane choice and $b=1$ to perfect `laning'. We find that the system displays one large cluster (`jam') whose size increases with $b$, contrary to intuition. Even more remarkably, the lane `charge' (a measure for the number of particles in their preferred lane) exhibits a region of negative response: even though vehicles experience a stronger preference for the `right' lane, more of them find themselves in the `wrong' one! For $b$ very close to 1, a sharp transition restores a homogeneous state. Various characteristics of the system are computed analytically, in good agreement with simulation data.
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Statistical physics of vehicular traffic and some related systems
Physics Reports · 2000 · 2.3K citations · Full text
Engineering, Mathematics, Physics +16
Molecular motors: structural adaptations to cellular functions
Nature · 1997 · 501 citations