Smart Parking Reservation System Based on Distributed Multicriteria Approach
In metropolitan area, finding a parking space is a difficult task for drivers especially in rush hours. This causes waste of time and fuel and results in traffic congestion. We propose a smart parking system based on multi-agent approach to provide a real-time decision-aid for drivers by handling th...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2017-07-01
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| Series: | Applied Artificial Intelligence |
| Online Access: | http://dx.doi.org/10.1080/08839514.2017.1378275 |
| Summary: | In metropolitan area, finding a parking space is a difficult task for drivers especially in rush hours. This causes waste of time and fuel and results in traffic congestion. We propose a smart parking system based on multi-agent approach to provide a real-time decision-aid for drivers by handling their preferences. The system ensures an online space allocation based on real-time information by optimizing drivers’ preferences with respect to operational constraints. The online allocation problem is considered as a multicriteria decision-aid problem for which we present a mathematical formulation: multicriteria parking reservation problem. The solution is an optimal compromise from the set of efficient solutions which is determined by means of a multicriteria ranking method ELECTRE III. An update of resource allocation is performed to avoid reservation conflict and to ensure constraints satisfaction. After the reservation process, the driver is assisted via a guidance module to reach the reserved place through the shortest path. Simulation results show the wide applicability of the approach in real cases. |
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| ISSN: | 0883-9514 1087-6545 |