New GNSS tomography of the atmosphere method – proposal and testing

Autor: Michal Kačmařík, Lukáš Rapant

Publikováno v: Geoinformatics FCE CTU, Vol 9, Iss 0, Pp 63-76 (2012)

Paper is focused on GNSS meteorology which is generally used for the determination of water vapour distribution in the atmosphere from GNSS measurements. Water vapour in the atmosphere is an important parameter which influences the state and developm

Externí odkaz: https://doaj.org/article/2e9c493ad27640c782574478771d11b4

Cross-Comparison and Methodological Improvement in GPS Tomography

Autor: Hugues Brenot, Cédric Champollion, Gregor Möller, Michal Kačmařík, Damian Tondaś, André Sá, Toby Manning, Witold Rohm, Lukáš Rapant, Riccardo Biondi

Publikováno v: Remote Sensing
Remote Sensing, MDPI, 2019, ⟨10.3390/rs12010030⟩
Remote Sensing; Volume 12; Issue 1; Pages: 30
Remote Sensing, 12 (1)
Remote sensig
Remote sensig, MDPI, 2019, ⟨10.3390/rs12010030⟩

GPS tomography has been investigated since 2000 as an attractive tool for retrieving the 3D field of water vapour and wet refractivity. However, this observational technique still remains a challenging task that requires improvement of its methodolog

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b1ead0e50b28ccbecb827f39e6a2a18e
https://hal.umontpellier.fr/hal-02509906

Alternative Paths Reordering Using Probabilistic Time-Dependent Routing

Autor: Jan Martinovič, Daniela Szturcová, Jakub Beránek, Martin Golasowski, Lukáš Rapant, Kateřina Slaninová, Martin Šurkovský

Publikováno v: Advances in Networked-based Information Systems ISBN: 9783030290283
NBiS

In this paper we propose an innovative routing algorithm which takes into account stochastic properties of the road segments using the Probabilistic Time-Dependent Routing (PTDR). It can provide optimal routes for vehicles driving in a smart city bas

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::1cc36faf4bc1feb227ed74e79b198515
https://doi.org/10.1007/978-3-030-29029-0_22

Traffic speed prediction using ensemble kalman filter and differential evolution

Autor: Lukáš Rapant

Publikováno v: MATEC Web of Conferences, Vol 259, p 02001 (2019)

Importance of traffic state prediction steadily increases with growing volume of traffic. Ability to predict traffic speed in short to medium horizon (i.e. up to one hour) is one of the main tasks of every newly developed Intelligent Transportation S

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cb6c60f51e104c7c02a03c4dde1690f2
https://doaj.org/article/7dd3985bc5f14379a11acbcce08889c0

Markov Chain Model Approach for Traffic Incident Length Prediction

Autor: Lukáš Rapant

Publikováno v: Proceedings of the 2017 International Conference on E-Society, E-Education and E-Technology.

One of the most challenging parts of traffic modeling is how to model traffic behavior during traffic incidents. One of the possible approaches to this problem is to use historical data to identify typical incidents and use this knowledge to classify

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::65c68929f36c7235c601a12c455fc564
https://doi.org/10.1145/3157737.3157750