01475132

Component

https://doi.org/10.3141/2324-09

http://scholar.google.com...hong&publication_year=2012

Planned special events attract thousands of attendees from nearby cities or suburbia by car and transit. In most cases, the majority of attendees use personal automobiles, and a high parking demand results in a short time, with a consequent parking shortage. Parking guidance information systems can solve the problem by displaying information on parking lot availability to dynamically divert vehicles. This study focused on optimizing dynamic parking guidance information for automobile drivers at special events. An original multimode traffic network was converted to a novel network by considering parking lots as dummy links; therefore the shortest path and traffic assignment could be implemented in this extended network. A bilevel programming model based on quasi-dynamic route choice and linear programming was proposed to optimize the dynamic parking guidance information. On the basis of travelers’ reaction to the guidance, stochastic dynamic user optimal route choice was employed within the lower-level model. The upper-level model was a linear program aimed at minimizing network total travel time. The solutions of the bilevel programming model were based on discrete particle swarm optimization and the method of successive average algorithms. Results of a case study implemented with a hypothetical network indicated that the optimization model could reduce the system total travel time by 4%.

01474810

12-2299

English

pp 71-80

2012

Transportation Research Record: Journal of the Transportation Research Board

9780309263184

Print

Figures; References; Tables

Case studies; Optimization; Parking guidance systems; Special events; Travel time

Bilevel programming model

Highways; Operations and Traffic Management; I73: Traffic Control

TRIS, TRB, ATRI

Mar 13 2013 9:54AM

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