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Mixed-Vehicular Aggregated Transportation Network Design Considering En-route Recharge Service Provision for Electric Vehicles

Mixed-Vehicular Aggregated Transportation Network Design Considering En-route Recharge Service Provision for Electric Vehicles

作     者:ZHANG Xiang WALLER S Travis 

作者机构:School of Civil and Environmental Engineering University of New South Wales Australia 

基  金:supported by Research Centre for Integrated Transport Innovation UNSW 

出 版 物:《Journal of Systems Science & Complexity》 (系统科学与复杂性学报(英文版))

年 卷 期:2018年第31卷第5期

页      码:1329-1349页

摘      要:This paper addresses the transportation network design problem (NDP) wherein the dis- tance limit and en-route recharge of electric vehicles are taken into account. Specifically, in this work, the network design problem aims to select the optimal planning policy from a set of infrastructure design scenarios considering both road expansions and charging station allocations under a specified construction budget. The user-equilibrium mixed-vehicular traffic assignment problem with en-route recharge (MVTAP-ER) is formulated into a novel convex optimization model and extended to a newly developed bi-level program of the aggregated NDP integrating recharge facility allocation (NDP-RFA). In the algorithmic framework, a convex optimization technique and a tailored CA are adopted for, respectively, solving the subproblem MVTAP-ER and the primal problem NDP-RFA. Systematic ex- periments are conducted to test the efficacy of the proposed approaches. The results highlight the impacts of distance limits and budget levels on the project selection and evaluation, and the benefits of considering both road improvement policy and recharge service provision as compared to accounting for the latter only. The results also report that the two design objectives, to respectively minimize the total system travel time and vehicle miles travelled, are conflicting for certain scenarios.

主 题 词:Aggregated network design problem mixed-vehicular traffic assignment recharge facilityallocation transport system optimization. 

学科分类:08[工学] 082303[082303] 082302[082302] 0823[工学-农业工程类] 

核心收录:

D O I:10.1007/s11424-018-7165-1

馆 藏 号:203359594...

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