Neural networks in transportation research – recent applications

• Autorzy: Pamuła T.

Identyfikatory

DOI

10.20858/tp.2016.11.2.

Warianty tytułu

PL

Zastosowanie sieci neuronowych w badaniach w transporcie – ostatnie opracowania

• Języki publikacji: EN

Abstrakty

EN

Neural networks’ (NNs) capability of mapping the nonlinear functions of variables describing the behaviour of objects and the simplicity of designing their configuration favours their applications in transport. This paper presents representative examples in the scope of prediction of road traffic parameters, road traffic control, measurement of road traffic parameters, driver behaviour and autonomous vehicles, and transport policy and economics. The features of the solutions are examined. The review shows that feed forward multilayer neural networks are the most often utilised configurations in transportation research. No systematic approach is reported on the optimisation of the NN configurations to achieve a set level of performance in solving modelling tasks.

PL

Zdolność sieci neuronowej do odwzorowania nieliniowych zależności między zmiennymi, które opisują zachowanie obiektów, oraz łatwość opracowania efektywnej konfiguracji sprzyjają zastosowaniom ich w transporcie. W artykule przedstawiono reprezentatywne przykłady z zakresu: predykcji parametrów ruchu drogowego, sterowania ruchem drogowym, pomiarów parametrów ruchu, zachowania kierowców i prowadzenia autonomicznych pojazdów, ekonomii i polityki transportowej, oraz omówiono własności proponowanych rozwiązań. Przegląd wskazuje, że najczęściej wybieranymi sieciami neuronowymi są sieci jednokierunkowe wielowarstwowe. Brak jest systematycznego podejścia do optymalizacji konfiguracji sieci w celu osiągnięcia zadanego poziomu dokładności w zadaniach modelowania.

Słowa kluczowe

EN

neural networks; transportation; prediction of road traffic parameters

PL

sieci neuronowe; transport; predykcja parametrów ruchu drogowego

• Wydawca: Wydawnictwo Politechniki Śląskiej
• Czasopismo: Transport Problems
• Rocznik: 2016
• Tom: T. 11, z. 2
• Strony: 27--36
• Opis fizyczny: Bibliogr. 35 poz.

Twórcy

autor

Pamuła T.

• Silesian University of Technology, Faculty of Transport, Krasiński 8, 40-019 Katowice, Poland

Bibliografia

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Uwagi

PL

Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę.