39 13Conclusions•Summaryofcontents,majorfindingsandfuturetasksarelistedasfollows.SummaryofcontentsThisstudyappliedtheGaussianmixturemodeltofitthetraveltimeofaroadbottleneckinToyotaCity.InordertoconsidertheimpactofTMCworkers`commutingbehaviorandthatofthepeakperiod,sampledatawerecategorizedinto4groupsworkingdays(peak),workingdays(off-peak),non-workingdays(peak)andnon-workingdays(off-peak).WeappliedtheGaussianmixturedistributiontofitthetraveltimedistributionforfourgroups.MajorfindingstheGaussianmixturedistributionfittingfortraveltimeduringtheoff-peakperiodinworkingdaysandthatinnon-workingoneshaveasmallermixtureproportion,whichindicatedalowprobabilityofthecongestedstate.Gaussianmixturedistributionsappliedforpeakandoff-peakperiodinnon-workingdaysofTMChaveabimodalfeature.TheGaussianmixturedistributionoutperformstheGaussiandistributionin4categorizedgroups.FuturetasksWeincreasethesampledatatoinvestigatethereliabilityoftraveltimeinthisroadsection.TheimpactofweatherconditionisconsideredintheproposedGaussianmixturedistribution.14Thank you for your attention!Email: yang@ttri.or.jp
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