01047509

Component

https://doi.org/10.3141/2021-02

http://scholar.google.com...napp&publication_year=2007

The typical method to couple activity-based demand generation (ABDG) and dynamic traffic assignment (DTA) is time-dependent origin–destination (O-D) matrices. With that coupling method, the individual traveler’s information gets lost. Delays at one trip do not affect later trips. However, it is possible to retain the full agent information from the ABDG by writing out all agents’ plans, instead of the O-D matrix. A plan is a sequence of activities, connected by trips. Because that information typically is already available inside the ABDG, this is fairly easy to achieve. Multiagent simulation (MATSim) takes such plans as input. It iterates between the traffic flow simulation (sometimes called network loading) and the behavioral modules. The currently implemented behavioral modules are route finding and time adjustment. Activity resequencing or activity dropping are conceptually clear but not yet implemented. Such a system will react to a time-dependent toll by possibly rearranging the complete day; in consequence, it goes far beyond DTA (which just does route adaptation). This paper reports on the status of the current Berlin implementation. The initial plans are taken from an ABDG, originally developed by Kutter; to the authors’ knowledge, this is the first time traveler-based information (and not just O-D matrices) is taken from an ABDG and used in a MATSim. The simulation results are compared with real-world traffic counts from about 100 measurement stations.

01088122

English

pp 10-17

2007

Transportation Research Record: Journal of the Transportation Research Board

9780309104487

Print

Figures (4) ; References (30)

Dynamic traffic assignment; Origin and destination; Time dependence; Traffic counts; Traffic simulation; Travel behavior; Trip matrices

Activity-based demand generation

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

TRIS, TRB

Feb 8 2007 6:55PM

• Capturing Human Activity Spaces: New Geometries
• Commuter Parking Versus Transit-Oriented Development: Evaluation Methodology
• Exploratory Analysis of Children’s Daily Time-Use and Activity Patterns: Child Development Supplement to U.S. Panel Study of Income Dynamics
• Human Interaction Spaces Under Uncertainty
• Identifying Skeletal Information of Activity Patterns by Multidimensional Sequence Alignment
• Interactions Between Residential Relocations, Life Course Events, and Daily Commuting Distances
• Intrahousehold Interaction Analysis Between Husband, Wife, and Child Using Joint Time-Allocation Model
• Mobility Management in Japan: Its Development and Meta-Analysis of Travel Feedback Programs
• Modeling Adults’ Weekend Day-Time Use by Activity Purpose and Accompaniment Arrangement
• Recurrence of Daily Travel Patterns: Stochastic Process Approach to Multiday Travel Behavior
• Stated Adaptation Survey of Activity Rescheduling: Empirical and Preliminary Model Results
• Successfully Changing Individual Travel Behavior: Applying Community-Based Social Marketing to Travel Choice
• Who Chooses to Carpool and Why? Examination of Texas Carpoolers