@incollection{auld_development_2013,
	title = {Development and {Implementation} of the {ADAPTS} integrated activity-travel mode},
	url = {https://anl.box.com/s/fmvxkuscgefcwlta45sgi09bazyau6s9},
	abstract = {This paper presents the results of a comprehensive activity-based model developed for the Chicago region.  The Agent-based Dynamic Activity Planning and Travel Scheduling (ADAPTS) model, is a new model which incorporates the dynamics of the activity planning process into a rule-based travel demand model.  The model simulates the planning process concurrently with activity scheduling and traffic simulation, to give a more realistic and behaviorally based representation of the formation of travel demand. The model is unique in its use of activity-planning simulation and new sources of data on the underlying behaviors behind activity planning and scheduling.  As a first attempt to validate the use of the model for the Chicago region, a baseline model has been implemented for the year 2007.  This baseline model was then validated against household travel survey data collected the same year, as well as actual traffic observations.  The initial results show that the model as a whole is performing well in replicating base-year observations.},
	booktitle = {Travel behaviour research: current foundations, future prospects ; selected papers from the 13th {International} {Conference} on {Travel} {Behavior} {Research}},
	publisher = {International Association for Travel Behaviour Research},
	author = {Auld, Joshua and Mohammadian, Abolfazl},
	editor = {Roorda, Matthew J. and Miller, Eric J.},
	year = {2013},
	keywords = {POLARIS},
	pages = {177--200},
}

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