01155144

Component

https://doi.org/10.3141/2175-13

http://scholar.google.com...mans&publication_year=2010

To facilitate the development of dynamic activity-based models for transport demand, the FEATHERS framework was developed. This framework suggests a four-stage development trajectory for a smooth transition from the four-step models toward static activity-based models in the short term and dynamic activity-based models in the long term. The development stages discussed in this paper range from an initial static activity-based model without traffic assignment to a dynamic activity-based model that incorporates rescheduling, learning effects, and traffic routing. To illustrate the FEATHERS framework, work that has been done on the development of static and dynamic activity-based models for Flanders (Belgium) and the Netherlands is discussed. First, the data collection is presented. Next, the four-stage activity-based model development trajectory is discussed in detail. The paper concludes with the presentation of the modular FEATHERS framework, which discusses the functionalities of the modules and how they accommodate the requirements imposed on the framework by each of the four stages.

01324695

10-1485

English

111-119

2010

Transportation Research Record: Journal of the Transportation Research Board

9780309160513

Print

Figures (2) ; References (38)

Activity choices; Data collection; Dynamic models; Implementation; Route choice; Travel demand

FEATHERS framework

Activity-based models; Static models

Flanders (Belgium); Netherlands

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

TRIS, TRB, ATRI

Jan 25 2010 10:39AM

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• Efficient Methodology for Generating Synthetic Populations with Multiple Control Levels
• From Microsimulation to Nanosimulation: Visualizing Person Trips over Multiple Modes of Transport
• Multiple Objectives in Travel Demand Modeling
• Patronage Ramp-Up Analysis Model Using a Heuristic F-Test
• Policy Evaluation in Multiagent Transport Simulations
• Random Coefficient Mixed Logit Models Based on Generalized Antithetic Halton Draws and Double Base Shuffling
• Real-Time Short-Term Traffic Speed Level Forecasting and Uncertainty Quantification Using Layered Kalman Filters
• Review of Evidence for Temporal Transferability of Mode–Destination Models
• Supernetwork Approach for Multimodal and Multiactivity Travel Planning
• Travel Time Forecasting and Dynamic Origin–Destination Estimation for Freeways Based on Bluetooth Traffic Monitoring
• Validation and Forecasts in Models Estimated from Multiday Travel Survey