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

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

Research output: Chapter in Book/Report/Conference proceeding › Chapter › Research › peer-review

Harvard

Zakharov, V, Krylatov, A & Volf, D 2018, Green route allocation in a transportation network. in Computational Methods in Applied Sciences. vol. 45, Computational Methods in Applied Sciences, vol. 45, Springer Nature, pp. 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. In Computational Methods in Applied Sciences (Vol. 45, pp. 71-86). (Computational Methods in Applied Sciences; Vol. 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. In Computational Methods in Applied Sciences. Vol. 45. Springer Nature. 2018. p. 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. Vol. 45 Springer Nature, 2018. pp. 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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T1 - Green route allocation in a transportation network

AU - Zakharov, Victor

AU - Krylatov, Alexander

AU - Volf, Dmitriy

PY - 2018

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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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U2 - 10.1007/978-3-319-54490-8_5

DO - 10.1007/978-3-319-54490-8_5

M3 - Chapter

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T3 - Computational Methods in Applied Sciences

SP - 71

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BT - Computational Methods in Applied Sciences

PB - Springer Nature

ER -

ID: 9339459