An Analysis of Vehicular Traffic Flow Using Langevin Equation

dc.contributor.author Koşun, Çağlar
dc.contributor.author Çelik, Hüseyin Murat
dc.contributor.author Özdemir, Serhan
dc.coverage.doi 10.7307/ptt.v27i4.1613
dc.date.accessioned 2017-05-16T12:14:52Z
dc.date.available 2017-05-16T12:14:52Z
dc.date.issued 2015
dc.description.abstract Traffic flow data are stochastic in nature, and an abundance of literature exists thereof. One way to express stochastic data is the Langevin equation. Langevin equation consists of two parts. The first part is known as the deterministic drift term, the other as the stochastic diffusion term. Langevin equation does not only help derive the deterministic and random terms of the selected portion of the city of Istanbul traffic empirically, but also sheds light on the underlying dynamics of the flow. Drift diagrams have shown that slow lane tends to get congested faster when vehicle speeds attain a value of 25 km/h, and it is 20 km/h for the fast lane. Three or four distinct regimes may be discriminated again from the drift diagrams; congested, intermediate, and free-flow regimes. At places, even the intermediate regime may be divided in two, often with readiness to congestion. This has revealed the fact that for the selected portion of the highway, there are two main states of flow, namely, congestion and free-flow, with an intermediate state where the noise-driven traffic flow forces the flow into either of the distinct regimes. © 2015, Faculty of Transport and Traffic Engineering. All rights reserved. en_US
dc.description.abstract Trafik akış verisi stokastik yapıya sahiptir ve buna ait oldukça zengin bir literatür vardır. Stokastik veriyi ifade etmenin bir yolu da Langevin denklemiyle olmaktadır. Langevin denklemi iki kısımdan oluşmaktadır. Birinci kısım deterministik sürüklenme terimi, ikinci kısım ise stokastik difüzyon terimi ile bilinmektedir. Langevin denklemi İstanbul trafiğinden seçilen yerin deterministik ve rastgele terimlerini çıkartmakla birlikte trafik akışının dinamiğine de ışık tutmaktadır. Çevre yolunun seçilen yerinde sağ şeritte hızın 25 km/sa, sol şeritte ise hızın 20 km/sa olduğu anlarda trafiğin daha hızlı sıkışma eğiliminde olduğu sürüklenme grafiklerinde görülmektedir. Sürüklenme grafiklerinden sıkışık, ara ve serbest akış rejimleri gibi üç veya dört ayrı rejim elde edilebilmektedir. Hatta ara rejim de kendi içinde ikiye ayrılabilir. Trafik akışı, sıkışık ve serbest akış olmak üzere iki ana rejime ayrılmakta ve trafiği bu rejimlere zorlayan gürültüye dayalı trafik akışının bulunduğu ara rejim verilmektedir. en_US
dc.identifier.citation Koşun, Ç., Çelik, H. M., and Özdemir, S. (2015). An analysis of vehicular traffic flow using langevin equation. Promet - Traffic&Transportation, 27(4), 317-324. doi:10.7307/ptt.v27i4.1613 en_US
dc.identifier.doi 10.7307/ptt.v27i4.1613
dc.identifier.doi 10.7307/ptt.v27i4.1613 en_US
dc.identifier.issn 0353-5320
dc.identifier.issn 0353-5320
dc.identifier.issn 1848-4069
dc.identifier.scopus 2-s2.0-84954549793
dc.identifier.uri http://doi.org/10.7307/ptt.v27i4.1613
dc.identifier.uri https://hdl.handle.net/11147/5523
dc.language.iso en en_US
dc.publisher Faculty of Transport and Traffic Sciences, University of Zagreb en_US
dc.relation.ispartof Promet - Traffic - Traffico en_US
dc.rights info:eu-repo/semantics/openAccess en_US
dc.subject Brownian motion en_US
dc.subject Langevin equation en_US
dc.subject Stochastic forces en_US
dc.subject Traffic dynamics en_US
dc.subject Traffic flow en_US
dc.subject Diffusion en_US
dc.title An Analysis of Vehicular Traffic Flow Using Langevin Equation en_US
dc.title.alternative Langevin Denklemi Kullanılarak Araç Trafik Akışının Analizi en_US
dc.type Article en_US
dspace.entity.type Publication
gdc.author.institutional Koşun, Çağlar
gdc.author.institutional Özdemir, Serhan
gdc.author.yokid 130950
gdc.bip.impulseclass C5
gdc.bip.influenceclass C5
gdc.bip.popularityclass C5
gdc.coar.access open access
gdc.coar.type text::journal::journal article
gdc.collaboration.industrial false
gdc.description.department İzmir Institute of Technology. City and Regional Planning en_US
gdc.description.endpage 324 en_US
gdc.description.issue 4 en_US
gdc.description.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
gdc.description.scopusquality Q3
gdc.description.startpage 317 en_US
gdc.description.volume 27 en_US
gdc.description.wosquality Q4
gdc.identifier.openalex W2151701154
gdc.identifier.wos WOS:000361265300005
gdc.index.type WoS
gdc.index.type Scopus
gdc.oaire.accesstype GOLD
gdc.oaire.diamondjournal false
gdc.oaire.impulse 0.0
gdc.oaire.influence 2.635068E-9
gdc.oaire.isgreen true
gdc.oaire.keywords Artificial intelligence
gdc.oaire.keywords FOS: Mechanical engineering
gdc.oaire.keywords Estimating Vehicle Fuel Consumption and Emissions
gdc.oaire.keywords Traffic flow (computer networking)
gdc.oaire.keywords Noise (video)
gdc.oaire.keywords Mechanics
gdc.oaire.keywords Quantum mechanics
gdc.oaire.keywords Term (time)
gdc.oaire.keywords Traffic flow
gdc.oaire.keywords stochastic forces
gdc.oaire.keywords Diffusion
gdc.oaire.keywords Langevin equation
gdc.oaire.keywords traffic dynamics
gdc.oaire.keywords Engineering
gdc.oaire.keywords Computer security
gdc.oaire.keywords FOS: Mathematics
gdc.oaire.keywords Image (mathematics)
gdc.oaire.keywords TA1001-1280
gdc.oaire.keywords drift
gdc.oaire.keywords Urban Traffic
gdc.oaire.keywords Physics
gdc.oaire.keywords diffusion
gdc.oaire.keywords Statistics
gdc.oaire.keywords Traffic Flow Prediction and Forecasting
gdc.oaire.keywords Building and Construction
gdc.oaire.keywords Stochastic forces
gdc.oaire.keywords Computer science
gdc.oaire.keywords Traffic Conditions
gdc.oaire.keywords Stochastic process
gdc.oaire.keywords traffic flow
gdc.oaire.keywords Transportation engineering
gdc.oaire.keywords Control and Systems Engineering
gdc.oaire.keywords Traffic dynamics
gdc.oaire.keywords Physical Sciences
gdc.oaire.keywords Automotive Engineering
gdc.oaire.keywords Thermodynamics
gdc.oaire.keywords Statistical physics
gdc.oaire.keywords Brownian motion
gdc.oaire.keywords Modeling and Control of Traffic Flow Systems
gdc.oaire.keywords Traffic Flow
gdc.oaire.keywords Flow (mathematics)
gdc.oaire.keywords Mathematics
gdc.oaire.keywords traffic regimes
gdc.oaire.popularity 8.7196056E-10
gdc.oaire.publicfunded false
gdc.openalex.collaboration National
gdc.openalex.fwci 0.0
gdc.openalex.normalizedpercentile 0.09
gdc.opencitations.count 0
gdc.plumx.mendeley 6
gdc.plumx.scopuscites 0
gdc.scopus.citedcount 0
gdc.wos.citedcount 0
relation.isAuthorOfPublication.latestForDiscovery ed617122-9065-40c3-8965-9065b708d565
relation.isOrgUnitOfPublication.latestForDiscovery e830b134-52be-4a86-b988-04016ee41664

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Name:
5523.pdf
Size:
320.77 KB
Format:
Adobe Portable Document Format
Description:
Makale

License bundle

Now showing 1 - 1 of 1
Loading...
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description: