Abstract
Jamming phenomena are seen in various kinds of flow, such as vehicles on highway, pedestrians in a corridor, data packets in internet and productions in a supply chain network. Jamology is an interdisciplinary research of analyzing and solving these jams. In this study, vehicles, pedestrians, etc., are all regarded as selfdriven particles, which are active particles and do not satisfy the Newton’s laws in general. Dynamics of these particles are studied by using a rule-based model, i.e., cellular automata. In this paper, starting from the background of this research, a simple model, called the asymmetric simple exclusion process, is introduced as basis of all kinds of traffic flow. Then it is extended in order to account each traffic phenomenon in a realistic way. Comparison between theory and experiment shows that the models are able to capture fundamental features of observations.
Keywords
- Cellular Automaton
- Molecular Motor
- Supply Chain Network
- Cellular Automaton Model
- Asymmetric Simple Exclusion Process
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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Nishinari, K. (2009). Jamology: Physics of Self-driven Particles and Toward Solution of All Jams. In: Asama, H., Kurokawa, H., Ota, J., Sekiyama, K. (eds) Distributed Autonomous Robotic Systems 8. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-00644-9_15
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DOI: https://doi.org/10.1007/978-3-642-00644-9_15
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