Agent-Based Parking Choice Model
Parking choice is an essential part of individual transportation; however, many travel demand and traffic simulations do not include parking. This paper reports on a proposal for a simple parking model and describes how this model was implemented into an existing, agent-based traffic simulation. The parking model provides feedback to the traffic simulation so that the overall simulation can react to spatial differences in parking demand and supply. Simulation results of a scenario in the city of Zürich, Switzerland, demonstrated that the model could capture key elements of parking, including capacity and pricing, and could assist with designing parking-focused transport policies. The paper also discusses possible work, such as microsimulation of the search for large-scale parking.
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- Summary URL:
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Availability:
- Find a library where document is available. Order URL: http://www.trb.org/Main/Blurbs/168554.aspx
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Authors:
- Waraich, Rashid A
- Axhausen, Kay W
- Publication Date: 2012
Language
- English
Media Info
- Media Type: Print
- Features: Figures; References;
- Pagination: pp 39–46
- Monograph Title: Demand Management and Carsharing 2012
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Serial:
- Transportation Research Record: Journal of the Transportation Research Board
- Issue Number: 2319
- Publisher: Transportation Research Board
- ISSN: 0361-1981
Subject/Index Terms
- TRT Terms: Choice models; Microsimulation; Parking; Parking demand; Pricing; Traffic simulation; Transportation policy
- Geographic Terms: Zurich (Switzerland)
- Subject Areas: Highways; Operations and Traffic Management; Planning and Forecasting; Policy; I72: Traffic and Transport Planning; I73: Traffic Control;
Filing Info
- Accession Number: 01368000
- Record Type: Publication
- ISBN: 9780309263191
- Report/Paper Numbers: 12-3362
- Files: TRIS, TRB, ATRI
- Created Date: Apr 18 2012 9:01AM