logging in or signing up Freight TRB 0405 Gourangi Download Post to : URL : Related Presentations : Share Add to Flag Embed Email Send to Blogs and Networks Add to Channel Uploaded from authorPOINTLite Insert YouTube videos in PowerPont slides with aS Desktop Copy embed code: (To copy code, click on the text box) Embed: URL: Thumbnail: WordPress Embed Customize Embed The presentation is successfully added In Your Favorites. Views: 129 Category: Education License: All Rights Reserved Like it (0) Dislike it (0) Added: February 29, 2008 This Presentation is Public Favorites: 0 Presentation Description No description available. Comments Posting comment... Premium member Presentation Transcript Implementing the FHWA Quick Response Freight Model in the Twin Cities: Implementing the FHWA Quick Response Freight Model in the Twin Cities Steve Wilson and Jonathan Ehrlich SRF Consulting Group, Inc. Dan Beagan Cambridge Systematics, Inc. Presented to Tenth Transportation Research Board Planning Applications ConferenceTwin Cities Regional Freight Planning Model: Twin Cities Regional Freight Planning Model Objectives Approach/Methodology Calibration Considerations Applications Objectives of the Project: Objectives of the Project Improve New Regional Travel Demand Models Better Reflect Impact of Trucks on Traffic Flow Lay Groundwork for Multimodal Freight Analysis and Modeling Connect to Statewide Freight Plan Approach: Approach Based on FHWA Quick Response Freight Manual (1996) Make use of local data Make use of limited resourcesZonal Data: Zonal Data Employment Categories: Agriculture, Mining, Construction Manufacturing, Transportation, Communication, Utilities, Wholesale Trade Retail Trade Office and Services Zonal Data: Zonal Data Employment Data Census vs. ES202 Freight Facility Inventory Quality Control Issues Network Data: Network Data Highways Prohibitions Grade Vehicle Classification Counts Navigable Waterways Terminal Locations Locks and Dams Railways At-Grade Crossings Intermodal TerminalsOther Data: Other Data Freight Analysis Framework National Freight Flow Database Growth Rates for External Trips External Origin-Destination Survey Distribution of External Trips Other Data: Other Data Light Commercial Vehicles In the regional model (large portion of NHBW trips) Difficult to quantify either in vehicle classification counts or in home-interview surveys MnDOT Light Commercial Vehicle Study, 1999 Four Step Model: Trip Generation: Four Step Model: Trip Generation By Vehicle Classification from QRFM Single Unit Combination ‘Light Commercial’ Function of Employment Type External Trips based on External Station Vehicle Classification Special Generator Capability Four Step Model: Trip Distribution: Four Step Model: Trip Distribution Default gravity model friction factor curves from QRFM Modify trip table using matrix estimation Adjusted default curves based on estimated matrixFour Step Model: Time of Day: Four Step Model: Time of Day Matches 24 time periods from Regional Model Constant factors for each time period for each vehicle classification Based on 24-hour vehicle classification count dataFour Step Model: Assignment: Four Step Model: Assignment Regional Model Assignment Equilibrium Assignment 24 Time Periods Five Assignment Purposes SOV, LCV, HOV, SU, CMB Three Paths SOV/LCV, HOV, Truck Passenger Car EquivalencyValidation: Validation Highway Link Volumes VMTCalibration Considerations: Calibration Considerations Data Availability Vehicle Classification Internal Origin-Destination Trip Length Distribution External Station Data Commodity Data Concurrent Regional Model Calibration Regional Scope Applications: Applications Forecasting Truck Traffic Pavement Design Development Impacts System Level Responses Modal Shift Impacts Value of Time/Benefit-Cost Truck Impacts on Congestion Grade Crossing AnalysisRecommendations for Further Improvement: Recommendations for Further Improvement Commercial Vehicle Tracking Survey National/Multi-State Commodity Flow Model External Truck Intercept Survey Vehicle Classification DataQuestions?: Questions? You do not have the permission to view this presentation. In order to view it, please contact the author of the presentation.
Freight TRB 0405 Gourangi Download Post to : URL : Related Presentations : Share Add to Flag Embed Email Send to Blogs and Networks Add to Channel Uploaded from authorPOINTLite Insert YouTube videos in PowerPont slides with aS Desktop Copy embed code: (To copy code, click on the text box) Embed: URL: Thumbnail: WordPress Embed Customize Embed The presentation is successfully added In Your Favorites. Views: 129 Category: Education License: All Rights Reserved Like it (0) Dislike it (0) Added: February 29, 2008 This Presentation is Public Favorites: 0 Presentation Description No description available. Comments Posting comment... Premium member Presentation Transcript Implementing the FHWA Quick Response Freight Model in the Twin Cities: Implementing the FHWA Quick Response Freight Model in the Twin Cities Steve Wilson and Jonathan Ehrlich SRF Consulting Group, Inc. Dan Beagan Cambridge Systematics, Inc. Presented to Tenth Transportation Research Board Planning Applications ConferenceTwin Cities Regional Freight Planning Model: Twin Cities Regional Freight Planning Model Objectives Approach/Methodology Calibration Considerations Applications Objectives of the Project: Objectives of the Project Improve New Regional Travel Demand Models Better Reflect Impact of Trucks on Traffic Flow Lay Groundwork for Multimodal Freight Analysis and Modeling Connect to Statewide Freight Plan Approach: Approach Based on FHWA Quick Response Freight Manual (1996) Make use of local data Make use of limited resourcesZonal Data: Zonal Data Employment Categories: Agriculture, Mining, Construction Manufacturing, Transportation, Communication, Utilities, Wholesale Trade Retail Trade Office and Services Zonal Data: Zonal Data Employment Data Census vs. ES202 Freight Facility Inventory Quality Control Issues Network Data: Network Data Highways Prohibitions Grade Vehicle Classification Counts Navigable Waterways Terminal Locations Locks and Dams Railways At-Grade Crossings Intermodal TerminalsOther Data: Other Data Freight Analysis Framework National Freight Flow Database Growth Rates for External Trips External Origin-Destination Survey Distribution of External Trips Other Data: Other Data Light Commercial Vehicles In the regional model (large portion of NHBW trips) Difficult to quantify either in vehicle classification counts or in home-interview surveys MnDOT Light Commercial Vehicle Study, 1999 Four Step Model: Trip Generation: Four Step Model: Trip Generation By Vehicle Classification from QRFM Single Unit Combination ‘Light Commercial’ Function of Employment Type External Trips based on External Station Vehicle Classification Special Generator Capability Four Step Model: Trip Distribution: Four Step Model: Trip Distribution Default gravity model friction factor curves from QRFM Modify trip table using matrix estimation Adjusted default curves based on estimated matrixFour Step Model: Time of Day: Four Step Model: Time of Day Matches 24 time periods from Regional Model Constant factors for each time period for each vehicle classification Based on 24-hour vehicle classification count dataFour Step Model: Assignment: Four Step Model: Assignment Regional Model Assignment Equilibrium Assignment 24 Time Periods Five Assignment Purposes SOV, LCV, HOV, SU, CMB Three Paths SOV/LCV, HOV, Truck Passenger Car EquivalencyValidation: Validation Highway Link Volumes VMTCalibration Considerations: Calibration Considerations Data Availability Vehicle Classification Internal Origin-Destination Trip Length Distribution External Station Data Commodity Data Concurrent Regional Model Calibration Regional Scope Applications: Applications Forecasting Truck Traffic Pavement Design Development Impacts System Level Responses Modal Shift Impacts Value of Time/Benefit-Cost Truck Impacts on Congestion Grade Crossing AnalysisRecommendations for Further Improvement: Recommendations for Further Improvement Commercial Vehicle Tracking Survey National/Multi-State Commodity Flow Model External Truck Intercept Survey Vehicle Classification DataQuestions?: Questions?