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Innovative Web Applications for Analyzing Traffic Operations
In response to the need to improve road traffic operation, researchers implement advanced technologies and integration of systems and data, and develop state-of-the-art applications to assist traffic engineers. This SpringerBrief introduces three novel Web applications which can be an exceptional re...
| Clasificación: | Libro Electrónico |
|---|---|
| Autores principales: | , , |
| Autor Corporativo: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Cham :
Springer International Publishing : Imprint: Springer,
2016.
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| Edición: | 1st ed. 2016. |
| Colección: | SpringerBriefs in Computer Science,
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| Temas: | |
| Acceso en línea: | Texto Completo |
MARC
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| 001 | 978-3-319-33319-9 | ||
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| 008 | 160617s2016 sz | s |||| 0|eng d | ||
| 020 | |a 9783319333199 |9 978-3-319-33319-9 | ||
| 024 | 7 | |a 10.1007/978-3-319-33319-9 |2 doi | |
| 050 | 4 | |a TK7885-7895 | |
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| 100 | 1 | |a Petrovska, Natasha. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 245 | 1 | 0 | |a Innovative Web Applications for Analyzing Traffic Operations |h [electronic resource] / |c by Natasha Petrovska, Aleksandar Stevanovic, Borko Furht. |
| 250 | |a 1st ed. 2016. | ||
| 264 | 1 | |a Cham : |b Springer International Publishing : |b Imprint: Springer, |c 2016. | |
| 300 | |a VIII, 52 p. 26 illus., 25 illus. in color. |b online resource. | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
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| 347 | |a text file |b PDF |2 rda | ||
| 490 | 1 | |a SpringerBriefs in Computer Science, |x 2191-5776 | |
| 505 | 0 | |a Introduction -- Background and Related Work -- Visualization Tools for Traffic Congestion Estimation -- Web Application for Incident Analysis -- Web Application for Measuring Travel-Based Time Signal Performance -- Conclusion. . | |
| 520 | |a In response to the need to improve road traffic operation, researchers implement advanced technologies and integration of systems and data, and develop state-of-the-art applications to assist traffic engineers. This SpringerBrief introduces three novel Web applications which can be an exceptional resource and a good visualization tool for traffic operators, managers, and analysts to monitor the congestion, and analyze incidents and signal performance measures. The applications offer more detailed analysis providing users with insights from different levels and perspectives. The benefit of providing these automated and interactive visualization tools is more efficient estimation of the local transport networks' performance, thus facilitating the decision making process in case of emergency events. . | ||
| 650 | 0 | |a Computer engineering. | |
| 650 | 0 | |a Computer networks . | |
| 650 | 0 | |a Data mining. | |
| 650 | 1 | 4 | |a Computer Engineering and Networks. |
| 650 | 2 | 4 | |a Data Mining and Knowledge Discovery. |
| 700 | 1 | |a Stevanovic, Aleksandar. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 700 | 1 | |a Furht, Borko. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 710 | 2 | |a SpringerLink (Online service) | |
| 773 | 0 | |t Springer Nature eBook | |
| 776 | 0 | 8 | |i Printed edition: |z 9783319333182 |
| 776 | 0 | 8 | |i Printed edition: |z 9783319333205 |
| 830 | 0 | |a SpringerBriefs in Computer Science, |x 2191-5776 | |
| 856 | 4 | 0 | |u https://doi.uam.elogim.com/10.1007/978-3-319-33319-9 |z Texto Completo |
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