01020102

Component

https://doi.org/10.3141/1981-05

http://scholar.google.com...mons&publication_year=2006

When trip tables from travel demand models are applied to simulation modeling, the demands are often unrealistically high. Unreasonable demands produce extreme congestion in simulation models, resulting in unusable results. This problem is often resolved by using travel demand model trip tables as seed matrices for matrix estimation procedures. Matrix estimation procedures leave simulation model developers with difficult decisions of how to factor estimated existing trip tables to produce future trip tables, which may also produce unreasonably high demands. Matrix capping reduces trip tables to ensure select links are not over capacity. And although matrix capping has been justified by assuming peak spreading occurs, historical efforts have not applied a systematic process for estimating peak spreading for all trip interchanges. A method is described to refine travel demand model trip tables for use in simulation modeling. Trip table refinement procedures are validated against observed traffic counts by using base year travel demand model trip tables as input. The validated procedures can then be applied to future year travel demand model trip tables to produce reasonable trip tables for simulation purposes. The selected method applies a unique temporal distribution to each origin–destination pair, when appropriate temporal distributions are based on the amount of congestion that is present between each pair. The experience of applying the procedures in the development of a large simulation model of Interstate 285, a major circumferential freeway around the city of Atlanta, Georgia, is summarized.

01041099

English

pp 18-23

2006

Transportation Research Record: Journal of the Transportation Research Board

0309099919

Print

Figures (3) ; References (2) ; Tables (4)

Freeways; Future; Origin and destination; Simulation; Traffic counts; Travel demand; Trip matrices; Trip tables; Validation

Matrix estimation procedures

Atlanta (Georgia)

Highways; Planning and Forecasting; I72: Traffic and Transport Planning

TRIS, TRB, ATRI

Mar 3 2006 10:59AM

• Access Management Plan and Program for Des Moines, Iowa, Metropolitan Area
• Advanced Activity-Based Models in Context of Planning Decisions
• Analysis of New Starts Project by Using Tour-Based Model of San Francisco, California
• Centralized and Decentralized Multimodal Statewide Transportation Planning: Survey of States
• Consensus Building in Transportation Planning Practice: Case Evaluation of Process and Outcomes
• Developing a Simple System for Conflict Management of Public Involvement
• Developing a Statewide Travel Demand Model from a Person-Based Time Series Household Survey
• Direct Demand Forecasting Model for Small Urban Communities Using Multiple Linear Regression
• Documenting America's National Park Roads and Parkways
• Financial Benefits of Early Acquisition of Transportation Right-of-Way
• Forecasting Traffic Impacts on a Citywide Street Network in the Absence of a Travel Demand Model
• Geography of Public Participation: Using Geographic Information Systems to Evaluate Public Outreach Program of Transportation Planning Studies
• Learning to Drive the Transportation System: Study of Training Needs of Metropolitan Planning Organization Participants in Florida
• Lifestyles, Residential Location Decisions, and Pedestrian and Transit Activity
• Modeling Time-of-Day Choice in Context of Tour- and Activity-Based Models
• Network Expansion Decision Making in Minnesota’s Twin Cities
• Oregon’s Transportation Planning Rule Goes into the Shop for Repairs
• Public Involvement Practices and Perspectives of Florida’s Metropolitan Planning Organizations
• Selection and Scheduling of Interdependent Transportation Projects with Island Models
• Service Times and Capacity at National Park Entrance Stations
• Summary of Recommendations from Travel Model Improvement Program's Peer Review Program
• Views of the Street: Using Community Surveys and Focus Groups to Inform Context-Sensitive Design