ADVANCES IN TRAFFIC DATA COLLECTION AND MANAGEMENT - WHITE PAPER

009368822002PDFTech ReportWork Order No. BAT-02-006ContractingData collectionData sharingDetectorsInformation managementInnovationInteragency relationsOptimizationQuality assuranceQuality controlStandardsStatesTraffic dataTrainingVehicle detectorsAdvanced metropolitan travel management systemsResearch and developmentFreeway management systemsTraffic management centerData qualityData archivingPerformance monitoringTraffic monitoringAdvanced traffic management systems (ATMS)ADUSADMSUnited StatesUnited States. Joint Program Office for Intelligent Transportation SystemsMiddleton, DanGopalakrishna, DeepakRaman, MalaTexas Transportation InstituteCambridge SystematicsUnited States. Federal Highway AdministrationBattelle Memorial InstituteNTL-INTELLIGENT TRANSPORTATION SYSTEMS-INTELLIGENT TRANSPORTATION SYSTEMSNTL-INTELLIGENT TRANSPORTATION SYSTEMS-Information ManagementNTL-OPERATIONS AND TRAFFIC CONTROLS-Traffic Control DevicesIntelligent Transportation Systems Joint Program OfficeThis white paper identifies innovative approaches for improving data quality through Quality Control. Quality Control emphasizes good data by ensuring selection of the most accurate detector then optimizing detector system performance. This is contrasted with Quality Assurance, which identifies defective data (and then attempts to fix it) rather than ensuring the accuracy and reliability of the equipment. The approaches for improving data through Quality Control contained in this paper include innovative contracting methods, standards, training for data collection, data sharing between agencies and states, and advanced traffic detection techniques.93