Abstract
Large-scale planned special events (PSEs) can pose unique transportation and logistics challenges. Data collection and simulation are important tools to address these challenges, although they are often difficult because of event size and complexity. This paper discusses methods to address the challenge of multimodal simulation at large PSEs through the context of AirVenture, a large week-long airshow organized by the Experimental Aircraft Association in Oshkosh, Wisconsin. Sampling and data collection techniques are discussed for a variety of modal processes like private vehicles, pedestrians, and shuttles, and for different situations like vehicle arrivals and departures, pedestrian queues, and shuttle systems. A flexible simulation framework for integrating these three modes and numerous activities is developed as a network of heterogeneous queues and queue-dependent choices. The simulation tested a variety of proposed policy changes around the site, including rerouting shuttle lines, and adjusting the system of vehicle arrivals to the site. Results of this study demonstrate the effectiveness and flexibility of the data collection and simulation methodologies. The techniques developed in this work can be used to improve planning and transportation systems at many other forms of PSE.
Original language | English (US) |
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Title of host publication | Transportation Research Record |
Publisher | SAGE Publications Ltd |
Pages | 192-203 |
Number of pages | 12 |
Volume | 2676 |
Edition | 1 |
DOIs | |
State | Published - 2022 |
Funding
The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: The work for this paper is based on research that was funded by EAA AirVenture Inc. The project was called ‘‘EAA Air Show Access Logistics’’ and performed by the Northwestern University Transportation Center.
Keywords
- Planning and analysis
- Simulation modeling
- Systems modeling
- Transportation network modeling
ASJC Scopus subject areas
- Civil and Structural Engineering
- Mechanical Engineering