Improving aggregate behavior in parking lots with appropriate local maneuvers

Rodríguez, Samuel; Giese, Andrew; Amato, Nancy M.

doi:10.1109/iros.2013.6696906

Cited by 1 publication

(1 citation statement)

References 18 publications

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“…For example, based on the multiagent parking lot simulation model, Vo et al pointed out that limiting drivers' parking time could increase the number of short-stay drivers and improve the average occupancy rate of parking lot [7]. (2) In order to improve the degree of satisfaction of drivers, some scholars have adopted the methods of parking lot layout optimization [14,15], parking space intelligent allocation [16,17] and parking control management strategy (e.g., parking space utilization authority management, restrictive and demand-oriented parking policies, etc.) [18,19] to allow drivers to park and leave easily.…”

Section: Introductionmentioning

confidence: 99%

Improving Utilization Efficiency and Drivers’ Degree of Satisfaction in Urban Complex Parking Lot through Modelling the Dynamic Allocation of Parking Spaces

Yang

Chen

et al. 2021

Applied Sciences

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There are significant differences in the utilization efficiency of parking spaces in different spatial locations within the complex parking lots, which reduces the utilization efficiency of parking resources. For the above problem, a parking spaces supply demand characteristics indexes system was constructed. The Metro City complex was taken as an example, and its parking demand utilization characteristics were analyzed to judge the problem of parking spaces utilization. On this basis, a model of the dynamic allocation of parking spaces for parking spaces was constructed to improve drivers’ degree of degree of satisfaction and balance the occupancy rates for parking spaces in different zones. The simulation results show that after the implementation of the dynamic allocation of parking spaces, the differences of the parking spaces’ demand characteristic indexes between two different parking zones are significantly reduced. It was specifically observed that the differences between parking zones A and B in terms of turnover number, total parking time and average parking time were reduced from 2.24 times to 0.03 times, 1.3 h to 0.6 h and 2.2 h to 0.1 h, respectively, and the average interval time of parking spaces became smaller and more evenly distributed. It can be seen that this model can improve the overall utilization efficiency of the complex parking lot and drivers’ degrees of satisfaction.

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