[
[1] Wei Y, Yu Y, Xu L, et al. Vehicle emission computation through microscopic traffic simulation calibrated using genetic algorithm. Journal of Artificial Intelligence and Soft Computing Research, 2019, 9(1): 67-80.10.2478/jaiscr-2018-0025
]Search in Google Scholar
[
[2] Huang W, Wei Y, Guo J, et al. Next-generation innovation and development of intelligent transportation system in China. Science China Information Sciences, 2017, 60(11): 1-11.10.1007/s11432-017-9182-x
]Search in Google Scholar
[
[3] Zheng H, He X, Li Y, et al. Traffic equilibrium and charging facility locations for electric vehicles. Networks and Spatial Economics, 2017, 17(2): 435-457.10.1007/s11067-016-9332-z
]Search in Google Scholar
[
[4] Frade I, Ribeiro A, Gonçalves G, et al. Optimal location of charging stations for electric vehicles in a neighborhood in Lisbon, Portugal. Transportation Research Record, 2011, 2252(1): 91-98.10.3141/2252-12
]Search in Google Scholar
[
[5] He S Y, Kuo Y H, Wu D. Incorporating institutional and spatial factors in the selection of the optimal locations of public electric vehicle charging facilities: A case study of Beijing, China. Transportation Research Part C: Emerging Technologies, 2016, 67: 131-148.10.1016/j.trc.2016.02.003
]Search in Google Scholar
[
[6] He J, Yang H, Tang T Q, et al. An optimal charging station location model with the consideration of electric vehicle’s driving range. Transportation Research Part C: Emerging Technologies, 2018, 86: 641-654.10.1016/j.trc.2017.11.026
]Search in Google Scholar
[
[7] Hodgson M J. A flow-capturing location-allocation model. Geographical Analysis, 1990, 22(3): 270-279.10.1111/j.1538-4632.1990.tb00210.x
]Search in Google Scholar
[
[8] KKuby M, Lim S. The flow-refueling location problem for alternative-fuel vehicles. Socio-Economic Planning Sciences, 2005, 39(2): 125-145.10.1016/j.seps.2004.03.001
]Search in Google Scholar
[
[9] Kim J G, Kuby M. The deviation-flow refueling location model for optimizing a network of refueling stations. international journal of hydrogen energy, 2012, 37(6): 5406-5420.10.1016/j.ijhydene.2011.08.108
]Search in Google Scholar
[
[10] Ono K, Hanada Y, Kumano M, et al. Enhancing island model genetic programming by controlling frequent trees. Journal of Artificial Intelligence and Soft Computing Research, 2019, 9(1): 51-65.10.2478/jaiscr-2018-0024
]Search in Google Scholar
[
[11] Dziwiński P, Bartczuk Ł, Paszkowski J. A new auto adaptive fuzzy hybrid particle swarm optimization and genetic algorithm. Journal of Artificial Intelligence and Soft Computing Research, 2020, 10(2): 95-111.10.2478/jaiscr-2020-0007
]Search in Google Scholar
[
[12] He F, Yin Y, Zhou J. Deploying public charging stations for electric vehicles on urban road networks. Transportation Research Part C: Emerging Technologies, 2015, 60: 227-240.10.1016/j.trc.2015.08.018
]Search in Google Scholar
[
[13] Riemann R, Wang D Z W, Busch F. Optimal location of wireless charging facilities for electric vehicles: flow-capturing location model with stochastic user equilibrium. Transportation Research Part C: Emerging Technologies, 2015, 58: 1-12.
]Search in Google Scholar
[
[14] Wang F, Chen R, Miao L, et al. Location optimization of electric vehicle mobile charging stations considering multi-period stochastic user equilibrium. Sustainability, 2019, 11(20): 5841.10.3390/su11205841
]Search in Google Scholar
[
[15] Xi X, Sioshansi R, Marano V. Simulation–optimization model for location of a public electric vehicle charging infrastructure. Transportation Research Part D: Transport and Environment, 2013, 22: 60-69.10.1016/j.trd.2013.02.014
]Search in Google Scholar
[
[16] Cai H, Jia X, Chiu A S F, et al. Siting public electric vehicle charging stations in Beijing using big-data informed travel patterns of the taxi fleet. Transportation Research Part D: Transport and Environment, 2014, 33: 39-46.10.1016/j.trd.2014.09.003
]Search in Google Scholar
[
[17] Nie Y M, Ghamami M. A corridor-centric approach to planning electric vehicle charging infrastructure. Transportation Research Part B: Methodological, 2013, 57: 172-190.10.1016/j.trb.2013.08.010
]Search in Google Scholar
[
[18] Upchurch C, Kuby M, Lim S. A model for location of capacitated alternative-fuel stations. Geographical Analysis, 2009, 41(1): 85-106.10.1111/j.1538-4632.2009.00744.x
]Search in Google Scholar
[
[19] Cao J D, Li R X, Huang W, et al. Traffic network equilibrium problems with demands uncertainty and capacity constraints of arcs by scalarization approaches. Science China Technological Sciences, 2018, 61(11): 1642-1653.10.1007/s11431-017-9172-4
]Search in Google Scholar
[
[20] Jiang N, Xie C, Waller S T. Path-constrained traffic assignment: model and algorithm. Transportation Research Record, 2012, 2283(1): 25-33.10.3141/2283-03
]Search in Google Scholar
[
[21] Jiang N, Xie C. Computing and analyzing mixed equilibrium network flows with gasoline and electric vehicles. Computer-Aided Civil and Infrastructure Engineering, 2014, 29(8): 626-641.10.1111/mice.12082
]Search in Google Scholar
[
[22] Nie Y, Zhang H M, Lee D H. Models and algorithms for the traffic assignment problem with link capacity constraints. Transportation Research Part B: Methodological, 2004, 38(4): 285-312.10.1016/S0191-2615(03)00010-9
]Search in Google Scholar
[
[23] Wu F, Sioshansi R. A stochastic flow-capturing model to optimize the location of fast-charging stations with uncertain electric vehicle flows. Transportation Research Part D: Transport and Environment, 2017, 53: 354-376.10.1016/j.trd.2017.04.035
]Search in Google Scholar
[
[24] Riemann R, Wang D Z W, Busch F. Optimal location of wireless charging facilities for electric vehicles: flow-capturing location model with stochastic user equilibrium. Transportation Research Part C: Emerging Technologies, 2015, 58: 1-12.10.1016/j.trc.2015.06.022
]Search in Google Scholar
[
[25] Yang J, Dong J, Hu L. A data-driven optimization-based approach for siting and sizing of electric taxi charging stations. Transportation Research Part C: Emerging Technologies, 2017, 77: 462-477.10.1016/j.trc.2017.02.014
]Search in Google Scholar
[
[26] Beckmann M, McGuire C B, Winsten C B. Studies in the Economics of Transportation. 1956.
]Search in Google Scholar
[
[27] Du M, Jiang X, Cheng L, et al. Robust evaluation for transportation network capacity under demand uncertainty. Journal of Advanced Transportation, 2017, 1-11.10.1155/2017/9814909
]Search in Google Scholar
