Agent-Based Simulation to Improve Policy Sensitivity of Trip-Based Models

Author:

Moeckel Rolf1ORCID,Kuehnel Nico1,Llorca Carlos1ORCID,Moreno Ana Tsui1ORCID,Rayaprolu Hema2

Affiliation:

1. Department of Civil, Geo and Environmental Engineering, Technical University of Munich, Munich, Germany

2. School of Civil Engineering, The University of Sydney, Sydney, Australia

Abstract

The most common travel demand model type is the trip-based model, despite major shortcomings due to its aggregate nature. Activity-based models overcome many of the limitations of the trip-based model, but implementing and calibrating an activity-based model is labor-intensive and running an activity-based model often takes long runtimes. This paper proposes a hybrid called MITO (Microsimulation Transport Orchestrator) that overcomes some of the limitations of trip-based models, yet is easier to implement than an activity-based model. MITO uses microsimulation to simulate each household and person individually. After trip generation, the travel time budget in minutes is calculated for every household. This budget influences destination choice; i.e., people who spent a lot of time commuting are less likely to do much other travel, while people who telecommute might compensate by additional discretionary travel. Mode choice uses a nested logit model, and time-of-day choice schedules trips in 1-minute intervals. Three case studies demonstrate how individuals may be traced through the entire model system from trip generation to the assignment.

Funder

German Excellence Initiative

Publisher

Hindawi Limited

Subject

Strategy and Management,Computer Science Applications,Mechanical Engineering,Economics and Econometrics,Automotive Engineering

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