An information-based traffic control in a public conveyance system: reduced clustering and enhanced efficiency
arXiv:0704.1555 · doi:10.1016/j.physa.2007.05.047
Abstract
A new public conveyance model applicable to buses and trains is proposed in this paper by using stochastic cellular automaton. We have found the optimal density of vehicles, at which the average velocity becomes maximum, significantly depends on the number of stops and passengers behavior of getting on a vehicle at stops. The efficiency of the hail-and-ride system is also discussed by comparing the different behavior of passengers. Moreover, we have found that a big cluster of vehicles is divided into small clusters, by incorporating information of the number of vehicles between successive stops.
8 pages, 15 figures
References in corpus (8)
- Traffic and Related Self-Driven Many-Particle Systems
- Statistical Physics of Vehicular Traffic and Some Related Systems
- Renormalization group analysis of the small-world network model
- Scaling and percolation in the small-world network model
- Jamming transition in a homogeneous one-dimensional system: the Bus Route Model
- Steady-states and kinetics of ordering in bus-route models: connection with the Nagel-Schreckenberg model
- The statistical properties of the city transport in Cuernavaca (Mexico) and Random matrix ensembles
- Collective traffic-like movement of ants on a trail: dynamical phases and phase transitions