DC pole | Wartość | Język |
dc.contributor.author | Bernaś, Marcin | - |
dc.contributor.author | Płaczek, Bartłomiej | - |
dc.contributor.author | Smyła, Jarosław | - |
dc.date.accessioned | 2019-05-29T12:42:23Z | - |
dc.date.available | 2019-05-29T12:42:23Z | - |
dc.date.issued | 2019 | - |
dc.identifier.citation | Sensors, Vol. 19, iss. 8 (2019), Art. No. 1776 | pl_PL |
dc.identifier.issn | 1424-8220 | - |
dc.identifier.issn | 1424-8220 | - |
dc.identifier.uri | http://hdl.handle.net/20.500.12128/9242 | - |
dc.description.abstract | The paper introduces an artificial neural network ensemble for decentralized control
of traffic signals based on data from sensor network. According to the decentralized approach,
traffic signals at each intersection are controlled independently using real-time data obtained from
sensor nodes installed along traffic lanes. In the proposed ensemble, a neural network, which reflects
design of signalized intersection, is combined with fully connected neural networks to enable
evaluation of signal group priorities. Based on the evaluated priorities, control decisions are taken
about switching traffic signals. A neuroevolution strategy is used to optimize configuration of the
introduced neural network ensemble. The proposed solution was compared against state-of-the-art
decentralized traffic control algorithms during extensive simulation experiments. The experiments
confirmed that the proposed solution provides better results in terms of reduced vehicle delay,
shorter travel time, and increased average velocity of vehicles. | pl_PL |
dc.language.iso | en | pl_PL |
dc.rights | Uznanie autorstwa 3.0 Polska | * |
dc.rights.uri | http://creativecommons.org/licenses/by/3.0/pl/ | * |
dc.subject | traffic signal control | pl_PL |
dc.subject | neuroevolution | pl_PL |
dc.subject | sensor networks | pl_PL |
dc.subject | neural network ensemble | pl_PL |
dc.subject | decentralized systems | pl_PL |
dc.subject | fuzzy cellular automata | pl_PL |
dc.title | A Neuroevolutionary Approach to Controlling Traffic Signals Based on Data from Sensor Network | pl_PL |
dc.type | info:eu-repo/semantics/article | pl_PL |
dc.identifier.doi | 10.3390/s19081776 | - |
Pojawia się w kolekcji: | Artykuły (WNŚiT)
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