Prototype Model of Household Activity-Travel Scheduling

By Eric J. Miller, Matthew J. Roorda. 2003

419 citations recorded by the source corpus.

Subfields: Automotive Engineering, Transportation

View Paper: https://www.semanticscholar.org/paper/a20973f482abfd0f2a91dcf2b068532b20f8be88

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In Automotive Engineering

In Transportation

Citations in the corpus

A tour-based model of travel mode choice (2005, methodology): “The model is specifically designed to be integrated within the Travel/Activity Scheduler for Household Agents (TASHA) activity scheduling model (Miller and Roorda, 2003).”
A conceptual framework for agent-based modelling of logistics services (2010, background): “…approaches are appropriate to explicitly model various aspects of choice behaviour, to provide explicit representation of tours, and to include specific constraints acting at the individual level (e.g. Arentze and Timmermans, 2005; Bhat et al., 2004; Davidson et al., 2007; Miller and Roorda, 2003).”
Comprehensive Econometric Microsimulator for Daily Activity-Travel Patterns (2004, background): “To date, partial and fully operational activity-based microsimulation systems include the Micro-analytic Integrated Demographic Accounting System (MIDAS) (5), the Activity-Mobility Simulator (AMOS) (6), Prism Constrained Activity-Travel Simulator (PCATS) (7), SIMAP (8), ALBATROSS (9), TASHA ( 10 ), ”
Activity-based models of travel demand: promises, progress and prospects (2014, neutral): “Different from Albatross, which uses decision heuristics, Tasha generates activity agenda and their attributes (start time and duration) drawing from empirical distributions.”
When Transport Geography Meets Social Psychology: Toward a Conceptual Model of Travel Behaviour (2010, background): “Only recently, some activity-based travel studies analyse the link between the individual’s travel behaviour and their social network (e.g. Miller and Roorda, 2003; Dugundji and Walker, 2005; Carrasco and Miller, 2006; Paéz and Scott, 2007; Arentze and Timmermans, 2008; Dugundji and Gulyás, 2008;…”
Uncertainty in travel demand forecasting models: literature review and research agenda (2012, methodology): “ADAPTS (Auld and Mohammadian, 2009), a discrete event simulator system, which shows some resemblance with TASHA in that it focuses on the planning, scheduling and rescheduling of activities, but differs from TASHA in that no priority in the scheduling process is assumed.”
Collecting Social Network Data to Study Social Activity-Travel Behavior: An Egocentric Approach (2008, background): “An overall interest in this work is informing, and enriching with the social network perspective, the behavioral components of operational activity-travel demand models' such as TASHA (Miller and Roorda, 2003; Miller et al, 2005), and integrated transportation and land-use models, such as ILUTE (Sal”