Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Ignacio Olabarrieta"'
Publikováno v:
ITSC
Tunnel ventilation systems are strictly controlled by safety regulations. Such regulations define not only their operating conditions during fire situations, but also the way in which they should be activated when the accumulation of pollutant gases
Autor:
Ibai Laña, Ignacio Olabarrieta
Publikováno v:
ITSC
Special event, including sporting events, concerts, fairs and festivals, can generate large volumes of traffic such that congestion and associated problems occur. Quantifying and understanding the traffic characteristics of sport events would be usef
Publikováno v:
Transportation Research Part C: Emerging Technologies. 90:18-33
Vehicle flow forecasting is of crucial importance for the management of road traffic in complex urban networks, as well as a useful input for route planning algorithms. In general traffic predictive models rely on data gathered by different types of
Autor:
Miguel Clavijo, Javier Sánchez-Cubillo, Jose E. Naranjo, Basam Musleh, Felipe Jiménez, Javier Del Ser, Rafael Toledo-Moreo, Arturo de la Escalera, José María Armingol, Ignacio Olabarrieta
A reliable positioning system is essential for the development of intelligent vehicles. This chapter provides an overview of different technologies and techniques that are crucial to understand modern positioning systems onboard road vehicles. It is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2cb83f55eb3ea7771a2892fde8e41b57
https://doi.org/10.1016/b978-0-12-812800-8.00004-7
https://doi.org/10.1016/b978-0-12-812800-8.00004-7
Autor:
Ignacio Olabarrieta, Javier Del Ser, Javier Sanchez-Medina, Sergio Campos-Cordobés, Ana I. Torre-Bastida, Javier Sánchez-Cubillo, Ibai Laña
Ubiquitous computing has changed the acquisition of mobility data, with two aspects contributing: the high penetration rate and the ability to capture and share information on a continuous basis. This applies to geolocation information, operational m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0343bf1de65aae9f74e8c13c3c1f3f1a
https://doi.org/10.1016/b978-0-12-812800-8.00005-9
https://doi.org/10.1016/b978-0-12-812800-8.00005-9
Autor:
Javier Del Ser, Sergio Gil-Lopez, José Luis Ortega Martín, José María Cabero, Ignacio Olabarrieta
Publikováno v:
Ad Hoc Networks. 20:36-52
This paper presents a novel range-free localization algorithm that has been originally designed to help in the characterization of human behavior by turning connectivity traces of mobile nodes into localization information. It is based on an error fu
Publikováno v:
BIRD: BCAM's Institutional Repository Data
instname
Advances in Intelligent Systems and Computing ISBN: 9789811037276
ICHSA
instname
Advances in Intelligent Systems and Computing ISBN: 9789811037276
ICHSA
This paper describes a Big Data stream analytics platform developed within the DEWI project for processing upcoming events from wireless sensors installed in a truck. The platform consists of a Complex Event Processing (CEP) engine capable of trigger
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a00a8dcd1dc1fbb3b2160f91fc184f23
http://hdl.handle.net/20.500.11824/1220
http://hdl.handle.net/20.500.11824/1220
Publikováno v:
NOMS
The MoveUs project funded by the European Commission aims to foster sustainable eco-friendly mobility habits in cities. In this context predicting the traffic flow is useful for managers to optimize the configuration of the road network towards reduc
Publikováno v:
Classical and Quantum Gravity. 24:3235-3258
We investigate the possibility to localize scalar field configurations as a model for black hole accretion. We analyze and resolve difficulties encountered when localizing scalar fields in General Relativity. We illustrate this ability with a simple
Publikováno v:
Intelligent Transport Systems ISBN: 9781118894774
Intelligent Transport Systems
Intelligent Transport Systems
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e778b9976239d5306fd7ee915c95af82
https://doi.org/10.1002/9781118894774.ch1
https://doi.org/10.1002/9781118894774.ch1