Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › научная › Рецензирование
Transit network design for green vehicles routing. / Zakharov, Victor; Krylatov, Alexander.
Modelling, Computation and Optimization in Information Systems and Management Sciences - Proceedings of the 3rd International Conference on Modelling, Computation and Optimization in Information Systems and Management Sciences, MCO 2015 - Part II. ред. / Hoai An Le Thi; Ngoc Thanh Nguyen; Tao Pham Dinh. Springer Nature, 2015. стр. 449-458 (Advances in Intelligent Systems and Computing; Том 360).Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › научная › Рецензирование
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TY - GEN
T1 - Transit network design for green vehicles routing
AU - Zakharov, Victor
AU - Krylatov, Alexander
N1 - Publisher Copyright: © Springer International Publishing Switzerland 2015. Copyright: Copyright 2016 Elsevier B.V., All rights reserved.
PY - 2015
Y1 - 2015
N2 - Transport of modern worldwide cities generates harmful emissions that accounts for nearly half of the total pollution in urban areas. Therefore local governments are forced to stimulate appearance of new fuels and technological innovations in urban mobility. Nevertheless there is a lack of methodological tools for supporting decision makers in spheres of motivation for using green vehicles by drivers and allocation available green capacity. This paper is devoted to the problem of green and non-green traffic flow assignment on the network consisting of green and non-green routes. The approach of defining green routes (green subnetwork) which are fully loaded and provide less travel time for green vehicles are developed. Conditions of well-balanced green subnetwork are obtained explicitly for the network of parallel routes.
AB - Transport of modern worldwide cities generates harmful emissions that accounts for nearly half of the total pollution in urban areas. Therefore local governments are forced to stimulate appearance of new fuels and technological innovations in urban mobility. Nevertheless there is a lack of methodological tools for supporting decision makers in spheres of motivation for using green vehicles by drivers and allocation available green capacity. This paper is devoted to the problem of green and non-green traffic flow assignment on the network consisting of green and non-green routes. The approach of defining green routes (green subnetwork) which are fully loaded and provide less travel time for green vehicles are developed. Conditions of well-balanced green subnetwork are obtained explicitly for the network of parallel routes.
KW - Green routes allocation
KW - Routing
KW - Transit network design
KW - Wardrop equilibrium
UR - http://www.scopus.com/inward/record.url?scp=84942693151&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-18167-7_39
DO - 10.1007/978-3-319-18167-7_39
M3 - Conference contribution
SN - 9783319181660
T3 - Advances in Intelligent Systems and Computing
SP - 449
EP - 458
BT - Modelling, Computation and Optimization in Information Systems and Management Sciences - Proceedings of the 3rd International Conference on Modelling, Computation and Optimization in Information Systems and Management Sciences, MCO 2015 - Part II
A2 - Le Thi, Hoai An
A2 - Nguyen, Ngoc Thanh
A2 - Dinh, Tao Pham
PB - Springer Nature
T2 - 3rd International Conference on Modelling, Computation and Optimization in Information Systems and Management Sciences, MCO 2015
Y2 - 11 May 2015 through 13 May 2015
ER -
ID: 3933104