Cooperative Multiagent System for Parking Availability Prediction Based on Time Varying Dynamic Markov Chains
Joint Authors
Tilahun, Surafel Luleseged
Di Marzo Serugendo, Giovanna
Source
Journal of Advanced Transportation
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-09-28
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Abstract EN
Traffic congestion is one of the main issues in the study of transportation planning and management.
It creates different problems including environmental pollution and health problem and incurs a cost which is increasing through years.
One-third of this congestion is created by cars searching for parking places.
Drivers may be aware that parking places are fully occupied but will drive around hoping that a parking place may become vacant.
Opportunistic services, involving learning, predicting, and exploiting Internet of Things scenarios, are able to adapt to dynamic unforeseen situations and have the potential to ease parking search issues.
Hence, in this paper, a cooperative dynamic prediction mechanism between multiple agents for parking space availability in the neighborhood, integrating foreseen and unforeseen events and adapting for long-term changes, is proposed.
An agent in each parking place will use a dynamic and time varying Markov chain to predict the parking availability and these agents will communicate to produce the parking availability prediction in the whole neighborhood.
Furthermore, a learning approach is proposed where the system can adapt to different changes in the parking demand including long-term changes.
Simulation results, using synthesized data based on an actual parking lot data from a shopping mall in Geneva, show that the proposed model is promising based on the learning accuracy with service adaptation and performance in different cases.
American Psychological Association (APA)
Tilahun, Surafel Luleseged& Di Marzo Serugendo, Giovanna. 2017. Cooperative Multiagent System for Parking Availability Prediction Based on Time Varying Dynamic Markov Chains. Journal of Advanced Transportation،Vol. 2017, no. 2017, pp.1-14.
https://search.emarefa.net/detail/BIM-1170528
Modern Language Association (MLA)
Tilahun, Surafel Luleseged& Di Marzo Serugendo, Giovanna. Cooperative Multiagent System for Parking Availability Prediction Based on Time Varying Dynamic Markov Chains. Journal of Advanced Transportation No. 2017 (2017), pp.1-14.
https://search.emarefa.net/detail/BIM-1170528
American Medical Association (AMA)
Tilahun, Surafel Luleseged& Di Marzo Serugendo, Giovanna. Cooperative Multiagent System for Parking Availability Prediction Based on Time Varying Dynamic Markov Chains. Journal of Advanced Transportation. 2017. Vol. 2017, no. 2017, pp.1-14.
https://search.emarefa.net/detail/BIM-1170528
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1170528