This paper focuses on dynamic parking guidance information optimization for highway travelers of special events. The original multi-mode traffic network is converted to a novel network by considering parking lots as dummy links; therefore shortest path can be implemented in the new network. A Bi-level programming model based on dynamic route choice and linear programming (LP) is proposed to optimize dynamic PGI. Based on travelers' reaction to PGI, Stochastic Dynamic User Optimal (SDUO) route choice is employed as lower level model. Upper level model is a LP aiming to minimize network total travel time. The algorithm based on Discrete Particle Swarm Optimization (DPSO) and Method of Successive Average (MSA) is used for solution. The application on Milwaukee Summer fest indicates the optimization model can reduce total parking time.
Optimization Approach of Dynamic Parking Guidance Information for Special Events
First International Conference on Transportation Information and Safety (ICTIS) ; 2011 ; Wuhan, China
ICTIS 2011 ; 871-879
2011-06-16
Conference paper
Electronic Resource
English
Optimization of Dynamic Parking Guidance Information for Special Events
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