交通安全に係るビッグデータを活用するためのデータプラットフォーム構築の試み
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82 9Research Subject•ThesubjectistheroadsectionfromMoritoToyotaHonmachiapproximately650m,andthissectionincludestheKyuchoBridgewithoutanybusstop.•Asoneofbridgesconnectingtwoseparateareas,theKyuchoBridgeislocatedinthehighlycongestedroadsectionreportedbytheroadmanagementdepartmentinAichiPrefecture(2013).10Data Introduction and Preparation•WeusedprobedataofthebuslocationsystemequippedinOidenbusesofthisroute,andthereare5busesoperatedduringpeakhours(6:30-9:00)onweekdays.•ThetimeperiodofbusprobedataisfromJanuary1sttoJune30th,2016for6months,andthecontentsofprobedataincludetimestamp,longitude,latitudeandpositionwithacollectionintervalof30s.•Theimpactofcommutingbehaviorsofworkersonroadcongestionismeasuredbythevarianceoftraveltimeinworkingandnon-workingdaysof“ToyotaCalendar”.()(2)((3,)/(3,4))*((4)(2))TSCTSPDPCDPPTSPTSP=+−Procedure to estimate the travel time:1.Generate the fixed bus route digital data based on the Digital Road Map.2.Match the bus probe data into the nearest road linkto modify the position.3.Calculate the distance of adjacent bus GPS data, and estimate the timestamp of influx and outflux node for each road link between the matched GPS. Then, we can estimate the travel time between nodes in DRM straightforward.11Results and Discussion•Resultsof491busesinworkingdaysand53busesinnon-workingdaysareselectedastheresearchsample.•Coefficientofvarianceandt-statisticvalueregardingequalmeansoftwosamplearemainlyusedinthisstudy.•Traveltimeinworkingdayshavealargercoefficientofvariation(0.51),whichindicatesthatthetraveltimeiswithhighervariabilityandlowerreliability,comparedtothatinnon-workingdays.•Thesignificantdifferenceoftraveltimeisindicatedbythet-statisticvalue(2.82),andtraveltimeinworkingdaysissignificantlylargerthanthatinnon-workingdays.Working daysNon-working daysMinimal137.00144.00Maximal1314.00658.00Mean411.52356.43Standard variance210.38124.50Skewness1.410.55Kurtosis2.22-0.34Coefficient of variation0.510.35Number of samples49153T-statistic value2.82Table 2 Basic Statistics of Travel Time12Results and Discussion•Traveltimeinworkingdaysarerelatedtotheweatherconditionasweexpected,sincetraveltimeunderrainingweatherconditionisobviouslylargerthanthatinnonrainingweathercondition.•CommutingbehaviorofworkersinTMCimpactstraveltimemoreobviouslyinrainingdays,sincethereisasignificantdifferenceoftraveltimebetweenthem.•Traveltimeinworkingdaysarelargerthanthatinnon-workingdays,butthereisnotasignificantdifferencebetweenthem.NonrainingRainingWorking daysNon-working daysWorking daysNon-working daysMinimal137144139180Maximal13146581216518Mean397.97360.71521.15341.83Standard variance199.40131.73261.4899.39Skewness1.570.530.500.25Kurtosis3.09-0.48-0.39-0.57Coefficient of variation0.500.370.500.29Number of samples437415412T-statistic value1.643.92Table 3 Basic Statistics of Travel Time in Nonraining and Raining Days

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