Alternative paths reordering using probabilistic time-dependent routing
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27740%2F20%3A10244147" target="_blank" >RIV/61989100:27740/20:10244147 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/chapter/10.1007%2F978-3-030-29029-0_22" target="_blank" >https://link.springer.com/chapter/10.1007%2F978-3-030-29029-0_22</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-030-29029-0_22" target="_blank" >10.1007/978-3-030-29029-0_22</a>
Alternative languages
Result language
angličtina
Original language name
Alternative paths reordering using probabilistic time-dependent routing
Original language description
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 based on a global view of the road network. We have implemented the algorithm in a distributed on-line service which can leverage heterogeneous resources such as Cloud or High Performance Computing (HPC) in order to serve a large number of clients simultaneously and efficiently. A preliminary experimental results using a custom traffic simulator are presented. (C) Springer Nature Switzerland AG 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 993
ISBN
978-3-030-22353-3
ISSN
2194-5357
e-ISSN
2194-5365
Number of pages
12
Pages from-to
235-246
Publisher name
Springer
Place of publication
Cham
Event location
Sydney
Event date
Jul 3, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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