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The Framework for Modeling Behavior, Energy, Autonomy, and Mobility in Transportation Systems

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BEAM

Documentation Status

BEAM stands for Behavior, Energy, Autonomy, and Mobility. The model is being developed as a framework for a series of research studies and demonstration projects in sustainable transportation at Lawrence Berkeley National Laboratory with collaborators from other Department of Energy national labs, the private sector, and the public sector.

BEAM is built around the Multi-Agent Transportation Simulation Framework ( MATSim)--an open-source framework for implementing large-scale agent-based transport simulations--with extensive modifications to allow for multithreaded within-day simulation of interacting agents. Many of BEAM's inputs, including the road network, transit system, synthetic population, and input agent plans, can be exported from existing MATSim models and read directly into BEAM, or they can be provided in simpler and more flexible formats. BEAM’s within-day AgentSim simulation includes features such as on-demand mobility, mode choice, parking selection, and discretionary trip planning. BEAM also adapts MATSim’s traffic network simulation and between-iteration replanning capabilities to allow it to approximate dynamic user equilibrium across all of the choice dimensions offered its agents.

BEAM has always been designed as open-source software intended to benefit from an evolving ecosystem of related models and products in the transportation and energy domain. These include activity-based travel demand models, which allow for a more sophisticated treatment of agents’ pre-day travel planning, vehicle energy consumption models, metrics for summarizing a transport system’s accessibility and efficiency, and integration with power grid models. While BEAM is designed to flexibly and efficiently link with other models of transportation system components, it also allows for an implementation to be built from scratch while relying only on free and publicly available data processed through several widely-used and opensource tools.

Documentation

The BEAM team maintains both a Github wiki and online documentation

Getting started:

Questions:

Project website:

https://transportation.lbl.gov/beam/

Report:

A detailed description of BEAM's component algorithms and software, along with descriptions of a New York City case study, have been published as a LBNL Lab report