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A Monte Carlo Approach to Simulate the Stochastic Demand in a Continuous Dynamic Traffic Network Loading Problem

contributor authorSanchez-Rico, Maria Teresa
contributor authorGarcia-Rodenas, Ricardo
contributor authorEspinosa-Aranda, Jose Luis
date accessioned2020-03-12T23:51:28Z
date available2020-03-12T23:51:28Z
date issued2014
identifier issn1524-9050
identifier other6763040.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/1125839?show=full
formatgeneral
languageEnglish
publisherIEEE
titleA Monte Carlo Approach to Simulate the Stochastic Demand in a Continuous Dynamic Traffic Network Loading Problem
typeJournal Paper
contenttypeMetadata Only
identifier padid8305553
subject keywordsMonte Carlo methods
subject keywordscontrol engineering computing
subject keywordsparallel processing
subject keywordsqueueing theory
subject keywordsroad traffic control
subject keywordstraffic engineering computing
subject keywordsDNL
subject keywordsMonte Carlo approach
subject keywordsNguyen-Dupuis networks
subject keywordsSioux Falls networks
subject keywordscongested network
subject keywordscontinuous dynamic traffic network loading problem
subject keywordsdynamic link capacities
subject keywordsdynamic traffic assignment models
subject keywordsdynamic traffic volumes
subject keywordsflow discretizations
subject keywordshomogeneous traffic packets
subject keywordsoffline applications
subject keywordsparallel computing techniques
subject keywordsrunning section
subject keywordsstochas
identifier doi10.1109/TITS.2014.2305473
journal titleIntelligent Transportation Systems, IEEE Transactions on
journal volume15
journal issue3
filesize1549410
citations2


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