ThisresearchreportismadebyAutoNaviTrafficBig-dataTeamofAutoNavi SoftwareCo.,anditsentirecontentsareforreferenceonly.Thereportismadevia bigdataminingandcalculationbasedonAutoNaviaccumulatedmassivetraffic andtraveldata.Thegenericalgorithmsandtheoriesensureitsrationalityand scientificity.Thereportusesthe“congestiondelayindex”asametricforurban congestion,i.e.,theratioofurbanresidents’averageactualtraveltimeforone outgoingtotheirtraveltimeunderfreeflowing.Fromtheperspectiveoftraffic travelers,theindexexpressthetimecostsimposedontravelersduetotraffic congestioninasimpleandunderstandableway.Thisreportobjectivelyreflects,in multipledimensions,thetrafficcongestionsincitiesinanasmuchaccurateand precise. Formoreinformationaboutthedataofurbancongestionaboutthecityyouareliving,pleasevisit：http://report.amap/ Thanksforyourattention,pleasefocusonlaterresearchpublication The statementThecontentsincludingtext,data,picturesandlogosinthisreportare protectedbythelawsandregulationsonintellectualpropertyrights,suchas copyrightlaw,patentlawandtrademarklaw,aswellastherelevantinternational treaties.Thisreportiscopyrightedby“AutoNaviTrafficData”ofAutoNavi SoftwareCo.Noinstitutionorindividualmayreproduce,copyanddistributethis reportinanyformwithoutthewrittenpermissionofAutoNavionthepurposeof business.Onreferencingorpublishing,thesourceofAutoNaviTrafficBig-data shouldbereferred,andnoreference,abridgementandmodificationcontraryto theoriginalintentofthereportareallowed.ThereportiswritteninChinese,and itsEnglishversionistranslatedfromtheChineseversion.Incaseofany discrepancybetweenthetwoversions,theChineseversionshallprevail.。“Traffic Analysis Reports for Major Cities in China” is proposed by AutoNavi, and it is based on AutoNavi traffic big-datapublishing platform, data open platform, Ali cloud MaxComputeand related data mining technology supports. The reports describes theurban congestion states, presents the congestion change rules, predicts the future development trend, and focuses on the congestioncauses and countermeasures. This first quarterly report is jointly published by “Joint Laboratory for Future Transport and UrbanComputing”, Transport Planning and Research Institute of the Ministry of Transport, Tsinghua-Daimler Joint Research Center forSustainable Transportation, Ali Cloud and other organizations. AutoNavi is willing to open our data to governments, enterprises oreducation institutions, in order to build a traffic community together.The research results of the AutoNavi “Joint Laboratory for Future Transport and Urban Computing” are firstly published in this quarterly report. Summary Cooperate organizationJointLaboratoryforFuture TransportandUrbanComputing AutoNavi’s massive traffic data is combined with traffic vehicle data and 700 million +AutoNaviusers’ data Cities 364 cities+nationalwide highway100cities * Select urban planning central areas or built-up areas as an evaluation range of overall urban road network * Select major cities with large enough data samples for congestion ranking and level computing * AutoNaviTraffic Big-data can support 364 Chiensecities in terms oftraffic index analysis and calculation Select Data * 指数越高表示出行延时占出行时间的比例越大，也就越拥堵 Congestion delay index = Peak travel time Free-flow (non-congestion)travel time See Appendix A for details Whole day：06:00~22:00Morning peak：07:00~09:00Evening peak：17:00~19:00 * If no specified, the statistical time periods of this report are Jan.-Mar. 2018 Time Report Description 。。。。。。