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Incorporating In-Home Activities into an Agent-Based Dynamic Activity Planning and Travel Simulation Model

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posted on 01.07.2016 by Mehran Fasihozaman Langerudi
This thesis addresses one of the important yet neglected areas in Activity-based Travel Demand models: In-home activities. In doing so, it attempts to extend the previously developed activity based framework called Agent-based Dynamic Activity Planning and Scheduling (ADAPTS) by integrating in-home activity models. The models are developed to capture the interdependencies between in-home and out-of-home activities while preserving the main dynamic planning structure of out-of home activities in ADAPTS. Additionally, the model components are designed so as to make non-transportation demand modeling applications feasible. This research focuses on generation of individuals' In-home and out-of-home activities as the simulation time runs. Simultaneously, individuals update their schedule based on activities they execute during the day and engage in trips accordingly. The link between in-home and out-of-home activities is implemented through a combination of rule-based and econometric models. Time of day sensitive activity type and duration models are proposed and implemented within the framework with the help of discrete choice, hazard-based and pairwise modeling concepts. This large-scale package could eventually be used for disaggregate demand forecasting purposes and targeted policies can be tested through relevant scenarios.

History

Advisor

Mohammadian, kouros

Department

Civil and Materials Engineering

Degree Grantor

University of Illinois at Chicago

Degree Level

Doctoral

Committee Member

Lin, Jane Sriraj, P.S. Derrible, Sybil Zou, Bo Tilahun, Nebiyou

Submitted date

2016-05

Language

en

Issue date

01/07/2016

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