Analysis of world experience in the use of artificial intelligence in traffic control systems at various levels

Author:

Navoi D. V.1,Kapski D. V.1,Filippova N. A.2,Pugachev I. N.3

Affiliation:

1. Belarusian National Technical University

2. 2Moscow Automobile and Road Construction State Technical University

3. Khabarovsk Federal Research Center of the Far Eastern Branch of the Russian Academy of Sciences

Abstract

When operating automated traffic control systems and their transformation into intelligent transport systems, modern requirements are imposed on the overall parameter safety, which characterizes the quality and efficiency of road traffic, especially when organizing high-speed loaded traffic of motor vehicles. The article discusses the use of various mathematical methods for these purposes when modeling transport processes and systems, including taking into account the development of artificial intelligence algorithms, so that when making decisions on traffic control, one can have reliable forecast indicators obtained from adequate models. A comparison of the models is made and recommendations are given on their applicability and the results obtained for traffic management purposes.

Publisher

Belarusian National Technical University

Reference64 articles.

1. Kapskii D.V. Osnovy avtomatizatsii intellektual'nykh transportnykh sistem: Uchebnik / D.V. Kapskii, E.N. Kot, S.V. Bogdanovich [i dr.]. – Vologda: OOO "Izdatel'stvo "Infra-Inzheneriya", 2022. – 412 s.

2. Skirkovskii, S.V. Teoreticheskie i prakticheskie podkhody k sozdaniyu i razvitiyu intellektual'noi transportnoi sistemy goroda / S.V. Skirkovskii, D.V. Kapskii, D.V. Navoi; Ministerstvo transporta i kommunikatsii Respubliki Belarus'; Belorusskii gosudarstvennyi universitet transporta. – Gomel': Uchrezhdenie obrazovaniya "Belorusskii gosudarstvennyi universitet transporta", 2022. – 171 s.

3. Pugachev I.N. Otsenka ekologicheskikh poter' v dorozhnom dvizhenii na osnove GPS-dannykh o parametrakh transportnykh potokov i modelirovaniya / I.N. Pugachev, D.V. Kapskii, L.P. Maiorova [i dr.]. – Khabarovsk: Tikhookeanskii gosudarstvennyi universitet, 2020. – 250 s.

4. Kapskii, D.V. Analiz algoritmov upravleniya dorozhnym dvizheniem i ikh primenimosti na sovremennom etape razvitiya IITS / D.V. Kapskii, I.N. Pugachev, D.V. Navoi // Dal'nii Vostok: problemy razvitiya arkhitekturno-stroitel'nogo kompleksa. – 2019. – № 1-1. – S. 259-264.

5. Kapskii, D.V. Trekhurovnevaya model' upravleniya transportnymi i peshekhodnymi potokami / D.V. Kapskii, I.N. Pugachev, D.V. Navoi // Dal'nii Vostok: problemy razvitiya arkhitekturno-stroitel'nogo kompleksa. – 2019. – № 1-1. – S. 265-270.

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