Determining the Complexity of Multi-Component Conformal Systems: a Platoon-Based Approach
| dc.contributor.author | Koşun, Çağlar | |
| dc.contributor.author | Özdemir, Serhan | |
| dc.coverage.doi | 10.1016/j.physa.2016.12.027 | |
| dc.date.accessioned | 2017-10-18T11:05:28Z | |
| dc.date.available | 2017-10-18T11:05:28Z | |
| dc.date.issued | 2017 | |
| dc.description.abstract | Many systems in nature and engineering are composed of subsystems. These subsystems may be formed in a linear, planar or spatial array. A typical example of these formations is a chain of vehicles known as platoon formation in traffic flow. Platoon formation of vehicles is a linear or planar formation of vehicles where a certain and a constant headway, and sideway if applicable, is provided in between every and each one of them. It is argued in this paper that a well-automated platoon formation of vehicles is an extreme case of conformity. During this transformation from a many degrees of freedom formation to a solid object, Tsallis q value is computed to be ranging from one extreme case of q=3 to the other where q=1, when classified in terms of inverse temperatures of clearance fluctuations. At one extreme of q=3, one observes unbounded fluctuations in clearance fluctuations so that inverse temperature distributions approach a Dirac delta at the origin. At the other extreme of q=1, fluctuations in clearance tend to zero asymptotically, where a solid structure of agents (vehicles) emerges. The transition from q=3 to q=1 is investigated through synthetic and experimental clearance fluctuations between the cars. The results show that during the transition from q=3 to q=1, the platoon loses its many degrees of freedom (dof) of motion until a solid single object emerges. Authors assert that the Tsallis q value of a platoon of vehicles is limited to 3>q<1. | en_US |
| dc.identifier.citation | Koşun, Ç., and Özdemir, S. (2017). Determining the complexity of multi-component conformal systems: A platoon-based approach. Physica A: Statistical Mechanics and its Applications, 471, 688-695. doi:10.1016/j.physa.2016.12.027 | en_US |
| dc.identifier.doi | 10.1016/j.physa.2016.12.027 | en_US |
| dc.identifier.doi | 10.1016/j.physa.2016.12.027 | |
| dc.identifier.issn | 0378-4371 | |
| dc.identifier.issn | 0378-4371 | |
| dc.identifier.scopus | 2-s2.0-85008391591 | |
| dc.identifier.uri | http://doi.org/10.1016/j.physa.2016.12.027 | |
| dc.identifier.uri | https://hdl.handle.net/11147/6379 | |
| dc.language.iso | en | en_US |
| dc.publisher | Elsevier Ltd. | en_US |
| dc.relation.ispartof | Physica A: Statistical Mechanics and its Applications | en_US |
| dc.rights | info:eu-repo/semantics/openAccess | en_US |
| dc.subject | Nonadditivity | en_US |
| dc.subject | Platoon formation | en_US |
| dc.subject | Superstatistics | en_US |
| dc.subject | Traffic flow | en_US |
| dc.subject | Tsallis entropy | en_US |
| dc.title | Determining the Complexity of Multi-Component Conformal Systems: a Platoon-Based Approach | en_US |
| dc.type | Article | en_US |
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| gdc.author.institutional | Koşun, Çağlar | |
| gdc.author.institutional | Özdemir, Serhan | |
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| gdc.description.department | İzmir Institute of Technology. City and Regional Planning | en_US |
| gdc.description.department | İzmir Institute of Technology. Mechanical Engineering | en_US |
| gdc.description.endpage | 695 | en_US |
| gdc.description.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
| gdc.description.scopusquality | Q1 | |
| gdc.description.startpage | 688 | en_US |
| gdc.description.volume | 471 | en_US |
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| gdc.oaire.keywords | Nonadditivity | |
| gdc.oaire.keywords | Platoon formation | |
| gdc.oaire.keywords | Superstatistics | |
| gdc.oaire.keywords | Tsallis entropy | |
| gdc.oaire.keywords | Traffic flow | |
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