About: Determination of interaction potentials in freeway traffic from steady-state statistics     Goto   Sponge   NotDistinct   Permalink

An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

AttributesValues
rdf:type
Description
  • Many-particle simulations of vehicle interactions have been quite successful in the qualitative reproduction of observed traffic patterns. However, the assumed interactions could not be measured, as human interactions are hard to quantify compared to interactions in physical and chemical systems. We show that progress can be made by generalizing a method from equilibrium statistical physics we learned from random matrix theory. It allows one to determine the interaction potential via distributions of the netto distances s of vehicles. Assuming power-law interactions, we find that driver behavior can be approximated by a forwardly directed 1/s potential in congested traffic, while interactions in free traffic are characterized by an exponent of alphaapproximate to4. This is relevant for traffic simulations and the assessment of telematic systems.
  • Many-particle simulations of vehicle interactions have been quite successful in the qualitative reproduction of observed traffic patterns. However, the assumed interactions could not be measured, as human interactions are hard to quantify compared to interactions in physical and chemical systems. We show that progress can be made by generalizing a method from equilibrium statistical physics we learned from random matrix theory. It allows one to determine the interaction potential via distributions of the netto distances s of vehicles. Assuming power-law interactions, we find that driver behavior can be approximated by a forwardly directed 1/s potential in congested traffic, while interactions in free traffic are characterized by an exponent of alphaapproximate to4. This is relevant for traffic simulations and the assessment of telematic systems. (en)
  • Many-particle simulations of vehicle interactions have been quite successful in the qualitative reproduction of observed traffic patterns. However, the assumed interactions could not be measured, as human interactions are hard to quantify compared to interactions in physical and chemical systems. We show that progress can be made by generalizing a method from equilibrium statistical physics we learned from random matrix theory. It allows one to determine the interaction potential via distributions of the netto distances s of vehicles. Assuming power-law interactions, we find that driver behavior can be approximated by a forwardly directed 1/s potential in congested traffic, while interactions in free traffic are characterized by an exponent of alphaapproximate to4. This is relevant for traffic simulations and the assessment of telematic systems. (cs)
Title
  • Determination of interaction potentials in freeway traffic from steady-state statistics
  • Determination of interaction potentials in freeway traffic from steady-state statistics (en)
  • Determination of interaction potentials in freeway traffic from steady-state statistics (cs)
skos:prefLabel
  • Determination of interaction potentials in freeway traffic from steady-state statistics
  • Determination of interaction potentials in freeway traffic from steady-state statistics (en)
  • Determination of interaction potentials in freeway traffic from steady-state statistics (cs)
skos:notation
  • RIV/68407700:21340/04:04105352!RIV09-MSM-21340___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • Z(MSM 210000018)
http://linked.open...iv/cisloPeriodika
  • 2
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 560078
http://linked.open...ai/riv/idVysledku
  • RIV/68407700:21340/04:04105352
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • CONGESTION; FLOW; PHASE-TRANSITIONS (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • NL - Nizozemsko
http://linked.open...ontrolniKodProRIV
  • [4B2D1EC3C6CF]
http://linked.open...i/riv/nazevZdroje
  • Physica A: Statistical Mechanics and Its Applications
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...v/svazekPeriodika
  • 333
http://linked.open...iv/tvurceVysledku
  • Krbálek, Milan
  • Helbing, D.
http://linked.open...ain/vavai/riv/wos
  • 000188758600026
http://linked.open...n/vavai/riv/zamer
issn
  • 0378-4371
number of pages
http://localhost/t...ganizacniJednotka
  • 21340
Faceted Search & Find service v1.16.118 as of Jun 21 2024


Alternative Linked Data Documents: ODE     Content Formats:   [cxml] [csv]     RDF   [text] [turtle] [ld+json] [rdf+json] [rdf+xml]     ODATA   [atom+xml] [odata+json]     Microdata   [microdata+json] [html]    About   
This material is Open Knowledge   W3C Semantic Web Technology [RDF Data] Valid XHTML + RDFa
OpenLink Virtuoso version 07.20.3240 as of Jun 21 2024, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (126 GB total memory, 58 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software