http://www.cnr.it/ontology/cnr/individuo/prodotto/ID79918
An Integrated architecture for Infomobility Services (Advantages of Genetic Algorithms in Real-Time Route Planning) (Contributo in atti di convegno)
- Type
- Label
- An Integrated architecture for Infomobility Services (Advantages of Genetic Algorithms in Real-Time Route Planning) (Contributo in atti di convegno) (literal)
- Anno
- 2010-01-01T00:00:00+01:00 (literal)
- Alternative label
C. De Castro; G. Leonardi; B. M. Masini; P. Toppan (2010)
An Integrated architecture for Infomobility Services (Advantages of Genetic Algorithms in Real-Time Route Planning)
in ICEC 2010, International Conference on Evolutionary Computation, Valencia, 24-26 Ottobre 2010
(literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
- C. De Castro; G. Leonardi; B. M. Masini; P. Toppan (literal)
- Pagina inizio
- Pagina fine
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url
- http://www.icec.ijcci.org/ICEC2010/home.asp (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#titoloVolume
- Proc. of ICEC 2010, International Conference on Evolutionary Computation, in IJCCI, the International Joint Conference on Computational Intelligence (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#note
- in Proc. of ICEC 2010, International Conference on Evolutionary Computation,
October 24th-26th, 2010.
(literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#pagineTotali
- Note
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
- C. De Castro, B. M. Masini, P. Toppan: IEIIT - CNR
G. Leonardi: azienda privata (literal)
- Titolo
- An Integrated architecture for Infomobility Services (Advantages of Genetic Algorithms in Real-Time Route Planning) (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#isbn
- 978-989-8425-31-7 (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autoriVolume
- SciTePress - Science and Technology Publications (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#curatoriVolume
- Joaquim Filipe; Janusz Kacprzyk (literal)
- Abstract
- In the field of Intelligent Transportation Systems, a key role is played by efficient route planning services.
Such systems have been evolving rapidly, but they still have some restricting drawbacks, such as the lack of a
full support of real-time traffic monitoring and the consequent real-time update of the best route suggested.
In this paper, an architecture is proposed for the management of dynamic path planning and limitations of
traditional search algorithms in these kinds of applications discussed. A variant of the proposed approach is
consequently presented, based on the joint use of virus-evolutionary genetic algorithms for real-time route
planning and traffic forecasting. (literal)
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