Methodology for Generating Synthetic Time-Dependant Probabilistic Speed Profiles
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27740%2F20%3A10245361" target="_blank" >RIV/61989100:27740/20:10245361 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/chapter/10.1007%2F978-981-15-2930-6_8" target="_blank" >https://link.springer.com/chapter/10.1007%2F978-981-15-2930-6_8</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-981-15-2930-6_8" target="_blank" >10.1007/978-981-15-2930-6_8</a>
Alternative languages
Result language
angličtina
Original language name
Methodology for Generating Synthetic Time-Dependant Probabilistic Speed Profiles
Original language description
Traffic flow management of smart city is one of the most current topics in traffic modeling. We have developed a method based on traffic routing and reordering that is capable of performing this task. One of the inputs of this method is time-dependant probabilistic speed profile, i.e., speed profiles that take into account both the time and uncertainty of traffic speed due to various traffic events and peaks. However, the exact calculation of these profiles for each road is very difficult due to the huge amounts of real-world data required. Therefore, we propose a methodology, which should, by utilizing various available metadata about traffic network and Markov chain model, be capable of producing these probabilistic speed profiles synthetically. (C) Springer Nature Singapore Pte Ltd 2020.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Advances in Intelligent Systems and Computing. Volume 1178
ISBN
978-981-15-5746-0
ISSN
2194-5357
e-ISSN
2194-5365
Number of pages
14
Pages from-to
95-108
Publisher name
Springer
Place of publication
Singapur
Event location
Kalkata
Event date
Feb 28, 2020
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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