Estimation of traffic density map using evolutionary algorithm
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F12%3APU98026" target="_blank" >RIV/00216305:26230/12:PU98026 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/ITSC.2012.6338757" target="_blank" >http://dx.doi.org/10.1109/ITSC.2012.6338757</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ITSC.2012.6338757" target="_blank" >10.1109/ITSC.2012.6338757</a>
Alternative languages
Result language
angličtina
Original language name
Estimation of traffic density map using evolutionary algorithm
Original language description
The traffic density map (TDM) represents the density of road network traffic as the number of vehicles per a specific time interval. TDMs are used by traffic experts as a base documentation for planning a new infrastructure (long-term) or by drivers forshowing a current trafic status (short-term). We propose two methods for estimation of missing density values in TDMs. In the first method, the problem is formulated relatively strictly in terms of quadratic programming (QP) and a QP solver is utilized to find a solution. The second, more general method is based on a multiobjective genetic algorithm which allows us to find a reasonable compromise among several objectives that a traffic expert may formulate. These two methods can work automatically or they can be used by a traffic expert for an iterative density estimation. Results of experimental evaluation based on real and randomly generated data are presented.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JC - Computer hardware and software
OECD FORD branch
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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>Z - Vyzkumny zamer (s odkazem do CEZ)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 15th International IEEE Conference on Intelligent Transportation Systems
ISBN
978-1-4673-3062-6
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
632-637
Publisher name
IEEE Intelligent Transportation Systems Society
Place of publication
Anchorage
Event location
Anchorage
Event date
Sep 16, 2012
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000312599600105