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Green route allocation in a transportation network. / Zakharov, Victor; Krylatov, Alexander; Volf, Dmitriy.

Computational Methods in Applied Sciences. Том 45 Springer Nature, 2018. стр. 71-86 (Computational Methods in Applied Sciences; Том 45).

Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › глава/раздел › научная › Рецензирование

Harvard

Zakharov, V, Krylatov, A & Volf, D 2018, Green route allocation in a transportation network. в Computational Methods in Applied Sciences. Том. 45, Computational Methods in Applied Sciences, Том. 45, Springer Nature, стр. 71-86. https://doi.org/10.1007/978-3-319-54490-8_5

APA

Zakharov, V., Krylatov, A., & Volf, D. (2018). Green route allocation in a transportation network. в Computational Methods in Applied Sciences (Том 45, стр. 71-86). (Computational Methods in Applied Sciences; Том 45). Springer Nature. https://doi.org/10.1007/978-3-319-54490-8_5

Vancouver

Zakharov V, Krylatov A, Volf D. Green route allocation in a transportation network. в Computational Methods in Applied Sciences. Том 45. Springer Nature. 2018. стр. 71-86. (Computational Methods in Applied Sciences). https://doi.org/10.1007/978-3-319-54490-8_5

Author

Zakharov, Victor ; Krylatov, Alexander ; Volf, Dmitriy. / Green route allocation in a transportation network. Computational Methods in Applied Sciences. Том 45 Springer Nature, 2018. стр. 71-86 (Computational Methods in Applied Sciences).

BibTeX

@inbook{751566e8f5e14ce5abc1a85ecf1ffbcc,
title = "Green route allocation in a transportation network",
abstract = "A lack of methodological tools that can be used to support decision makers in decreasing greenhouse gas emission levels has motivated us to write this paper. This paper investigates the problem of determining the allocation of available green route capacity. The approach for designing a green transit network that offers green vehicles shorter travel times between given origins and destinations is discussed. This approach is extended to minimize greenhouse gas emissions. For this purpose, bi-level programs are formulated to minimize the emission function under competitive and non-competitive scenarios.",
author = "Victor Zakharov and Alexander Krylatov and Dmitriy Volf",
year = "2018",
doi = "10.1007/978-3-319-54490-8_5",
language = "English",
volume = "45",
series = "Computational Methods in Applied Sciences",
publisher = "Springer Nature",
pages = "71--86",
booktitle = "Computational Methods in Applied Sciences",
address = "Germany",

}

RIS

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AU - Zakharov, Victor

AU - Krylatov, Alexander

AU - Volf, Dmitriy

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N2 - A lack of methodological tools that can be used to support decision makers in decreasing greenhouse gas emission levels has motivated us to write this paper. This paper investigates the problem of determining the allocation of available green route capacity. The approach for designing a green transit network that offers green vehicles shorter travel times between given origins and destinations is discussed. This approach is extended to minimize greenhouse gas emissions. For this purpose, bi-level programs are formulated to minimize the emission function under competitive and non-competitive scenarios.

AB - A lack of methodological tools that can be used to support decision makers in decreasing greenhouse gas emission levels has motivated us to write this paper. This paper investigates the problem of determining the allocation of available green route capacity. The approach for designing a green transit network that offers green vehicles shorter travel times between given origins and destinations is discussed. This approach is extended to minimize greenhouse gas emissions. For this purpose, bi-level programs are formulated to minimize the emission function under competitive and non-competitive scenarios.

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