On activity-based modeling
Castiglione, Joe & Bradley, Mark & Gliebe, John. (2014). Activity-Based Travel Demand Models: A Primer. Available here.
Kiel, Jan & Servé Hermens & Mirco Hogetoorn & Janneke Janson-Goossens & Lucia Schlemmer (2024) AABMs inventory: Inventory of activity- and agent-based transport models. Available here.
Open source software
Name
Description
ActivitySim
The mission of the ActivitySim project is to create and maintain advanced, open-source, activity-based travel behavior modeling software based on best software development practices for distribution at no charge to the public.
For more information head to https://research.ampo.org/activitysim.
eqasim
Eqasim is a open-source platform to generate activity-based travel demand with a focus on employing Open Data.
For more information, please refer to https://eqasim.org. For implementations see https://github.com/eqasim-org.
MATSim
MATSim is an open source tooling for agent-based transport simulation.
For more information, please head to www.matsim.org
PAM
PAM is an open source python library for population activity sequence modelling.
For more information head to https://github.com/arup-group/pam.
Commercial software
Name
Description
OpenPaths
PTV Visum
PTV Visum is a transport modelling software whose data structures and interfaces support the implementation of activity-based travel demand models.
For more information, please refer to the PTV Visum Website
Courses and teaching material
Organisation
Description
More information
Bentley Systems
More information here
Karlsruhe Institute of Technology
Seminar Modellierung und Simulation im Verkehrswesen
More information here
Activity-based models in practice
Organisation
Description
Swiss Railways (SBB / CFF / FFS)
With SIMBA MOBi, the Passenger Division at the Swiss Federal Railways (SBB) is operating an activity-based travel demand model and uses MATSim to simulate the interaction between demand and supply.
SIMBA MOBi is well-established at SBB and helps the company’s decision-making process in passenger demand planning. The model contributes forecasts and supports decisions of planners and managers inside of the company and outside.