Abstract
Developments
in integrated agent-based platform has shown progress, however, most of efforts
are based on integrating activity-based demand models with dynamic traffic
assignment model. Integration beyond this level is limited and mostly based on
loosely coupled mechanism (i.e. manual exchange of data). SimMoblity is a
simulation platform that integrates various mobility-sensitive behavioral
models within a multi-scale simulation platform that considers land-use,
transportation and communication interactions. It particularly focuses on
impacts on transportation networks, intelligent transportation services and
vehicular emissions, thereby enabling the simulation of a portfolio of
technology, policy and investment options under alternative future scenarios.
In short, SimMobility encompasses the modeling of millions of agents, from
pedestrians to drivers, from phones, traffic lights to GPS probes, from cars to
buses and trains, from second-by-second to year-by-year simulations.
Simmobility
is designed to support the activity-based modeling paradigm. All choices are
ultimately tied to the agent’s goal of performing activities on a time scale
that can vary from seconds to years. Agents can be grouped in broad ways, from
households to firms, and can have varying roles including operators, bus drivers
or real-estate agents. Thus, the range of possible decisions is also broad,
from travel (e.g. Mode or route choice, driving behaviour) to land-use (e.g.
household or firm location choice).
This
paper describes the SimMobility framework, its key features such as event-based
implementation, parallel and distributed architecture and flow of data across
three integrated levels. Additionally, application of the whole platform in
Singapore context with some details on application of autonomous mobility on
demand study is also presented.