Advanced Optimization Method for Improving the Urban Traffic Management
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F16%3APU118853" target="_blank" >RIV/00216305:26220/16:PU118853 - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/document/7561507" target="_blank" >https://ieeexplore.ieee.org/document/7561507</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/FRUCT-ISPIT.2016.7561507" target="_blank" >10.1109/FRUCT-ISPIT.2016.7561507</a>
Alternative languages
Result language
angličtina
Original language name
Advanced Optimization Method for Improving the Urban Traffic Management
Original language description
The Smart City as a concept of future cities anticipates the smart and efficient traffic management. Current situation of traffic management did not offer a sufficient solution and it is not wise to use the current technology to improve the traffic situation on the city roads. This paper deals with advanced methods for optimization, the genetic algorithms, for using in urban traffic management. Implementation of genetic algorithm and also implementation of classical static solution were provided. We try to prove the advantages of modern optimization methods, which could bring more fluent traffic to the cities and solve the current challenges as i.e. high emissions, big delay, higher probability of accidents. The paper provides comparison measurements of static and dynamic solution in discrete time, discussion of the possible implementation in praxis and evaluation of the advantages and disadvantages for both methods.
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
<a href="/en/project/LO1401" target="_blank" >LO1401: Interdisciplinary Research of Wireless Technologies</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2016
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 18th FRUCT & ISPIT Conference, 18-22 April 2016, Technopark of ITMO University, Saint-Petersburg, Russia. FRUCT Oy, Finland.
ISBN
978-952-68397-3-8
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
48-53
Publisher name
Neuveden
Place of publication
St. Petersburg
Event location
St. Petersburg
Event date
Apr 18, 2016
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000389208900008