Modeling Framework and Implementation of Activity- and Agent-Based Simulation: An Application to the Greater Boston Area
This paper presents a utility-maximizing approach to agent-based modeling with an application to the Greater Boston Area (GBA). It leverages day activity schedules (DAS) to create a framework for representing travel demand in an individual’s day. DAS are composed of a sequence of stops that make up home-based tours with activity purposes, intermediate stops, and subtours. The framework introduced in this paper includes three levels: (1) the Day Pattern Level, which determines if an individual will travel and, if so, what types of primary activities and intermediate stops they will do; (2) the Tour Level, which models the mode, destination, and time-of-day of the different primary activities; and (3) the Intermediate Stop Level, which generates intermediate stops. The models are estimated for the GBA using the 2010 Massachusetts Travel Survey (MTS). They are then implemented in SimMobility, the agent-based, activity-based, multimodal simulator. It run in a microsimulation using a Synthetic Population. Produced results are consistent with the MTS. Compared with similar activity-based approaches, the proposed framework allows for more flexibility in modeling a wide range of activity and travel patterns.
- Record URL:
-
Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/03611981
-
Authors:
- Viegas de Lima, Isabel
- Danaf, Mazen
- Akkinepally, Arun
- De Azevedo, Carlos Lima
- Ben-Akiva, Moshe
- Publication Date: 2018-12
Language
- English
Media Info
- Media Type: Print
- Features: Figures; References;
- Pagination: pp 146-157
-
Serial:
- Transportation Research Record: Journal of the Transportation Research Board
- Volume: 2672
- Issue Number: 49
- Publisher: Sage Publications, Incorporated
- ISSN: 0361-1981
- EISSN: 2169-4052
- Serial URL: http://journals.sagepub.com/home/trr
Subject/Index Terms
- TRT Terms: Choice models; Schedules and scheduling; Simulation; Travel behavior; Travel demand
- Geographic Terms: Greater Boston Area
- Subject Areas: Planning and Forecasting; Transportation (General);
Filing Info
- Accession Number: 01661039
- Record Type: Publication
- Report/Paper Numbers: 18-06357
- Files: TRIS, TRB, ATRI
- Created Date: Feb 23 2018 4:29PM