1、Regional Quick Response Model(QRM)Application Using Passive Big Data SourcesVijayaraghavan(Vijay)SivaramanTransportation Planning Program TxDOT TTI:Transportation Planning&Modeling Conference on Innovations in Travel Analysis and Planning223 Metropolitan Planning OrganizationsTravel Survey and Passi
2、ve Data AnalyticsModel Development&Implementation Visualization Tools&Platform TexPACKQRMSuite of Travel Demand Models Behavioral ModelQRM Development ObjectivesConference on Innovations in Travel Analysis and Planning Why QRM?Frequent need to analyze the effect of potential highway improvements wit
3、h short turnaround Call for models to be more responsive,compared to travel survey model development cycle To support small to medium sized areas that are resource constrained An application that is:Accessible to wide range of users(cloud-based web application)Able to frequently produce forecast sce
4、narios for one or more shovel ready projects Geared towards low and moderate growth regions Confined to:Highway only analysis Produce short term forecasts(3-5 years)Utilizes data drawn from passive data sources3QRM Procedure:Overview Conference on Innovations in Travel Analysis and Planning Data Acq
5、uisition and Processing Sampling and Category Segmentation Validation and Reasonableness Checks1-Passive Data Product Development Input Trip Tables by Category,Network,Counts Process ODME Output Validation and Reasonableness Checks 2 Origin Destination Matrix Estimation(ODME)Alternate scenarios for
6、commercial/non-commercial/internal/external travel Produce Reports for Base and Alternate/Forecast scenarios Visualize Base and Alternate Scenarios3 Scenario Results Reporting and Visualization4LBS:Non-Commercial&GPS Fleet:Commercial Travel Conference on Innovations in Travel Analysis and Planning P