Scipediacontent: Scipediacontent moved page Draft Content 927657325 to Botelho et al 2019a

2021-01-28T16:31:03Z

Scipediacontent moved page Draft Content 927657325 to Botelho et al 2019a

Scipediacontent: Created page with " == Abstract == The increase volume of vehicles circulating in large cities and the limited space for parking are factors that motivate the adoption of systems capable of dea..."

2021-01-28T16:31:00Z

Created page with " == Abstract == The increase volume of vehicles circulating in large cities and the limited space for parking are factors that motivate the adoption of systems capable of dea..."

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== Abstract ==

The increase volume of vehicles circulating in large cities and the limited space for parking are factors that motivate the adoption of systems capable of dealing with such problems. In this context, smart parking systems are suitable solutions to avoid the traffic congestion, the air pollution and the long search to find a free parking spot. The inclusion of emergent ICT technologies and artificial intelligence techniques, and particularly using multi-agent systems, combined under the scope of Cyber-Physical Systems (CPS), ensure flexibility, modularity, adaptability and the decentralization of intelligence through autonomous, cooperative and proactive entities. Such smart parking systems can be easily adapted to any type of vehicle to be parked and scalable in terms of the number of parking spots and drivers/vehicles. A fundamental issue in these agent-based CPS parking systems is the interconnection between the cyber and physical counterparts, i.e. between the software agents and the physical asset controllers to access the parking spots. This paper focuses on developing an agent-based CPS for a smart parking system and particularly addressing how the software agents are interconnected with the physical asset controllers using proper Internet of Things technologies. The proposed approach was implemented in two distinct parking systems, one for bicycles and another for cars, showing an efficient, modular, adaptable and scalable operation. info:eu-repo/semantics/publishedVersion

== Original document ==

The different versions of the original document can be found in:

* [http://hdl.handle.net/10198/21437 http://hdl.handle.net/10198/21437] under the license http://creativecommons.org/licenses/by/4.0/

* [http://xplorestaging.ieee.org/ielx7/8897531/8926608/08926653.pdf?arnumber=8926653 http://xplorestaging.ieee.org/ielx7/8897531/8926608/08926653.pdf?arnumber=8926653],
: [http://dx.doi.org/10.1109/iecon.2019.8926653 http://dx.doi.org/10.1109/iecon.2019.8926653]

* [https://dblp.uni-trier.de/db/conf/iecon/iecon2019.html#SakuradaBLABB19 https://dblp.uni-trier.de/db/conf/iecon/iecon2019.html#SakuradaBLABB19],
: [https://academic.microsoft.com/#/detail/2996026998 https://academic.microsoft.com/#/detail/2996026998]

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Botelho et al 2019a - Revision history

Scipediacontent: Scipediacontent moved page Draft Content 927657325 to Botelho et al 2019a

Scipediacontent: Created page with " == Abstract == The increase volume of vehicles circulating in large cities and the limited space for parking are factors that motivate the adoption of systems capable of dea..."