- freely available
Energies 2016, 9(2), 86; https://doi.org/10.3390/en9020086
2. Environmental Issues Related to the Use of Electric Vehicles (EVs)
2.1. Environmental Aspects of Transportation
2.2. Environmental Impact of Delivering Goods in Urban Areas
2.3. Decarbonizing the Last-Mile Delivery Process with the Use of EVs
3. Strategic and Planning Issues Related to the Use of EVs
3.1. Different Kinds of Recharging Stations
3.2. Recharging Station Location
3.3. Capacity of Recharging Stations
3.4. Fleet Size and Mix
4. Emerging Vehicle Routing Problem (VRP) Operational Issues Related to the Use of EVs
4.1. Economic Issues of EVs
4.2. Fleet size and Mix Issues of EVs
4.3. Charging Networks Issues of EVs
4.4. Routing Issues of EVs
5. Solving Approaches for VRPs with EVs
6. Other Related and Emergent Issues
Conflicts of Interest
- Toth, P.; Vigo, D. Vehicle Routing: Problems, Methods, and Application, 2nd ed.; Society for Industrial and Applied Mathematics (SIAM): Philadelphia, PA, USA, 2014. [Google Scholar]
- Caceres, J.; Arias, P.; Guimarans, D.; Riera, D.; Juan, A. Rich Vehicle Routing Problem: Survey. ACM Comput. Surv. 2014, 47, 1–28. [Google Scholar] [CrossRef]
- Vidal, T.; Crainic, T.G.; Gendreau, M.; Prins, C. Heuristics for multi-attribute vehicle routing problems: A survey and synthesis. Eur. J. Oper. Res. 2013, 231, 1–21. [Google Scholar] [CrossRef]
- Figliozzi, M.A. Vehicle routing problem for emissions minimization. Transp. Res. Rec. J. Transp. Res. Board 2010, 2197, 1–7. [Google Scholar] [CrossRef]
- Bektas, T.; Laporte, G. The pollution-routing problem. Transp. Res. B 2011, 45, 1232–1250. [Google Scholar] [CrossRef]
- Davis, B.A.; Figliozzi, M.A. A methodology to evaluate the competitiveness of electric delivery trucks. Transp. Res. E 2013, 49, 8–23. [Google Scholar] [CrossRef]
- Sinha, K.C.; Labi, S. Transportation Decision Making: Principles of Project Evaluation and Programming; John Wiley & Sons: New Jersey, NY, USA, 2007. [Google Scholar]
- Piecyk, M.; McKinnon, A.; Allen, J. Evaluating and Internalizing the Environmental Costs of Logistics. In Green Logistics: Improving the Environmental Sustainability of Logistics; McKinnon, A., Browne, A., Whiteing, A., Eds.; Kogan Page: London, UK, 2012. [Google Scholar]
- Korzhenevych, A.; Dehnen, N.; Bröcker, J.; Holtkamp, M.; Meier, H.; Gibson, G.; Varma, A.; Cox, V. Update of the Handbook on External Costs of Transport. Ricardo-AEA/R/ED57769. 2014. Available online: http://ec.europa.eu/transport/themes/sustainable/studies/doc/2014-handbook-external-costs-transport.pdf (accessed on 16 January 2016).
- Juan, A.; Goentzel, J.; Bektaş, T. Routing fleets with multiple driving ranges: Is it possible to use greener fleet configurations? Appl. Soft Comput. 2014, 21, 84–94. [Google Scholar] [CrossRef]
- Figliozzi, M.A. The impacts of congestion on commercial vehicle tour characteristics and costs. Transp. Res. E Logist. Transp. Rev. 2010, 46, 496–506. [Google Scholar] [CrossRef]
- Chen, J. Energy efficiency comparison between hydraulic hybrid and hybrid electric vehicles. Energies 2015, 8, 4697–4723. [Google Scholar] [CrossRef]
- Martin, K.B.; Grasman, S.E. An assessment of wind-hydrogen systems for light duty vehicles. Int. J. Hydrog. Energy 2009, 34, 6581–6588. [Google Scholar] [CrossRef]
- Grimm, N.B.; Faeth, S.H.; Golubiewski, N.E.; Redman, C.L.; Wu, J.; Bai, X.; Briggs, J.M. Global change and the ecology of cities. Science 2008, 319, 756–760. [Google Scholar] [CrossRef] [PubMed]
- Schliwa, G.; Armitage, R.; Aziz, S.; Evans, J.; Rhoades, J. Sustainable city logistics: Making cargo cycles viable for urban freight transport. Res. Transp. Bus. Manag. 2015, 15, 50–57. [Google Scholar] [CrossRef]
- Feng, W.; Figliozzi, M.A. An economic and technological analysis of the key factors affecting the competitiveness of electric commercial vehicles: A case study from the USA market. Transp. Res. C 2013, 26, 135–145. [Google Scholar] [CrossRef]
- Russo, F.; Comi, A. City characteristics and urban goods movements: A way to environmental transportation system in a sustainable city. Procedia Soc. Behav. Sci. 2012, 39, 61–73. [Google Scholar] [CrossRef]
- Shahraeeni, M.; Ahmed, S.; Malek, K.; van Drimmelen, B.; Kjeang, E. Life cycle emissions and cost of transportation systems: Case study on diesel and natural gas for light duty trucks in municipal fleet operations. J. Nat. Gas Sci. Eng. 2015, 24, 26–34. [Google Scholar] [CrossRef]
- Bernard, S.M.; Samet, J.M.; Grambsch, A.; Ebi, K.L.; Romieu, I. The potential impacts of climate variability and change on air pollution-related health effects in the United States. Environ. Health Perspect. 2001, 109, 199–209. [Google Scholar] [CrossRef] [PubMed]
- Nüesch, T.; Cerofolini, A.; Mancini, G.; Cavina, N.; Onder, C.; Guzzella, L. Equivalent consumption minimization strategy for the control of real driving NOx emissions of a diesel hybrid electric vehicle. Energies 2014, 7, 3148–3178. [Google Scholar] [CrossRef]
- Colin, G.; Chamaillard, Y.; Charlet, A.; Nelson-Gruel, D. Towards a friendly energy management strategy for hybrid electric vehicles with respect to pollution, battery and drivability. Energies 2014, 7, 6013–6030. [Google Scholar] [CrossRef]
- Chen, Z.; Xiong, R.; Wang, K.; Jiao, B. Optimal energy management strategy of a plug-in hybrid electric vehicle based on a particle swarm optimization algorithm. Energies 2015, 8, 3661–3678. [Google Scholar] [CrossRef]
- Hwang, T.; Ouyang, Y. Urban freight truck routing under stochastic congestion and emission considerations. Sustainability 2015, 7, 6610–6625. [Google Scholar] [CrossRef]
- Jaller, M.; Holguín-Veras, J.; Hodge, S. Parking in the city: Challenges for freight traffic. Transp. Res. Rec. J. Transp. Res. Board 2013, 2379, 46–56. [Google Scholar] [CrossRef]
- Browne, M.; Allen, J.; Leonardi, J. Evaluating the use of an urban consolidation centre and electric vehicles in central London. IATSS Res. 2011, 35, 1–6. [Google Scholar] [CrossRef]
- Pelletier, S.; Jabali, O.; Laporte, G. Goods Distributions with Electric Vehicles: Review and Research Perspectives. CIRRELT Publications. CIRRELT-2014–44. 2014. Available online: https://www.cirrelt.ca/DocumentsTravail/CIRRELT-2014-43.pdf (accessed on 16 January 2016).
- Feng, W.; Figliozzi, M.A. Conventional vs electric commercial vehicle fleets: A case study of economic and technological factors affecting the competitiveness of electric commercial vehicles in the USA. Procedia Soc. Behav. Sci. 2012, 39, 702–711. [Google Scholar] [CrossRef]
- Afroditi, A.; Boile, M.; Theofanis, S.; Sdoukopoulos, E.; Margaritis, D. Electric Vehicle Routing Problem with industry constraints: Trends and insights for future research. Transp. Res. Procedia 2014, 3, 452–459. [Google Scholar] [CrossRef]
- Conway, A.; Fatisson, P.E.; Eickemeyer, P.; Cheng, J.; Peters, D. Urban micro-consolidation and last mile goods delivery by freight-tricycle in Manhattan: Opportunities and challenges. In Proceedings of the 91st Transportation Research Board Annual Meeting, Washington, DC, USA, 22–26 January 2012.
- Lenz, B.; Riehle, E. Bikes for urban freight? Transp. Res. Rec. J. Transp. Res. Board 2013, 2379, 39–45. [Google Scholar] [CrossRef]
- Demir, E.; Bektas, T.; Laporte, G. A review of recent research on green road freight transportation. Eur. J. Oper. Res. 2014, 237, 775–793. [Google Scholar] [CrossRef]
- Demir, E.; Huang, Y.; Scholts, S.; van Woensel, T. A selected review on the negative externalities of the freight transportation: Modeling and pricing. Transp. Res. E 2015, 77, 95–114. [Google Scholar] [CrossRef]
- Wang, Y.; Wang, C. Locating passenger vehicle refueling stations. Transp. Res. E 2010, 46, 791–801. [Google Scholar] [CrossRef]
- Li, J.Q. Transit bus scheduling with limited energy. Transp. Sci. 2014, 48, 521–539. [Google Scholar] [CrossRef]
- Yang, J.; Sun, H. Battery swap station location-routing problem with capacitated electric vehicles. Comput. Oper. Res. 2015, 55, 217–232. [Google Scholar]
- Zheng, Y.; Dong, Z.Y.; Xu, Y.; Meng, K.; Zhao, J.H.; Qiu, J. Electric vehicle battery charging/swap stations in distribution systems: Comparison study and optimal planning. IEEE Trans. Power Syst. 2014, 29, 221–229. [Google Scholar] [CrossRef]
- Liu, Y.X.; Hui, F.H.; Xu, R.L.; Chen, T.; Xu, X.; Li, J. Investigation on the construction mode of charging and battery-exchange station. In Proceedings of the Power Energy Engineering Conference, Wuhan, China, 25–28 March 2011; pp. 1–2.
- Lombardi, P.; Heuer, M.; Styczynski, Z. Battery switch station as storage system in an autonomous power system: Optimization issue. In Proceedings of the IEEE PES General Meeting, Minneapolis, MN, USA, 25–29 July 2010; pp. 1–6.
- Zhou, F.Q.; Lian, Z.W.; Wan, X.L.; Yang, X.H.; Xu, Y.S. Discussion on operation mode to the electric vehicle charging station. Power Syst. Prot. Control 2010, 1, 65–72. [Google Scholar]
- Upchurch, C.; Kuby, M. Comparing the p-median and flow refueling models for locating alternative-fuel stations. J. Transp. Geogr. 2010, 18, 750–758. [Google Scholar] [CrossRef]
- Goodchild, M.F.; Noronha, V. Location-Allocation and Impulsive Shopping the Case of Gasoline Retailing. Spatial Analysis and Location-Allocation Models; Van Nostrand Reinhold: New York, NY, USA, 1987. [Google Scholar]
- Hodgson, M. A flow-capturing location-allocation model. Geogr. Anal. 1990, 22, 270–279. [Google Scholar] [CrossRef]
- Kuby, M.; Lim, S. The flow-refueling location problem for alternative-fuel vehicles. Socio Econ. Plan. Sci. 2005, 39, 125–145. [Google Scholar] [CrossRef]
- Lim, S.; Kuby, M. Heuristic algorithms for siting alternative-fuel stations using the flow-refueling location model. Eur. J. Oper. Res. 2010, 204, 51–61. [Google Scholar] [CrossRef]
- Capar, I.; Kuby, M. An efficient formulation of the flow refueling location model for alternative-fuel stations. Inst. Ind. Eng. Trans. 2012, 44, 622–636. [Google Scholar] [CrossRef]
- Mak, H.Y.; Rong, Y.; Shen, Z.J.M. Infrastructure planning for electric vehicles with battery swapping. Manag. Sci. 2013, 59, 1557–1575. [Google Scholar] [CrossRef]
- Wang, Y.W.; Lin, C.C. Locating road-vehicle refueling stations. Transp. Res. E Logist. Transp. Rev. 2009, 45, 821–829. [Google Scholar] [CrossRef]
- Wang, Y.W. Locating flow-recharging stations at tourist destinations to serve recreational travelers. Int. J. Sustain. Transp. 2011, 5, 153–171. [Google Scholar] [CrossRef]
- You, P.S.; Hsieh, Y.C. A hybrid heuristic approach to the problem of the location of vehicle charging stations. Comput. Ind. Eng. 2014, 70, 195–204. [Google Scholar] [CrossRef]
- Melaina, M.W. Initiating hydrogen infrastructure: Preliminary analysis of a sufficient number of initial hydrogen stations in the US. Int. J. Hydrog. Energy 2003, 28, 743–755. [Google Scholar] [CrossRef]
- Nicholas, M.A.; Handy, S.L.; Sperling, D. Using GIS to evaluate siting and networks of hydrogen stations. Transp. Res. Rec. J. Transp. Res. Board 2004, 1880, 126–134. [Google Scholar] [CrossRef]
- Nicholas, M.; Ogden, J. Detailed analysis of urban station siting for California hydrogen highway network. Transp. Res. Rec. 2007, 129–139. [Google Scholar] [CrossRef]
- Schwoon, M. A tool to optimize the initial distribution of hydrogen fueling stations. Transp. Res. D Transp. Environ. 2007, 12, 70–82. [Google Scholar] [CrossRef]
- Stiller, C.; Seydel, P.; Bünger, U.; Wietschel, M. Early hydrogen user centres and corridors as part of the European hydrogen energy roadmap (HyWays). Int. J. Hydrog. Energy 2008, 33, 4193–4208. [Google Scholar] [CrossRef]
- Hosseini, M.; MirHassani, S.A. Selecting optimal location for electric recharging stations with queue. KSCE J. Civ. Eng. 2015, 19, 2271–2280. [Google Scholar] [CrossRef]
- Olivella-Rosell, P.; Villafafila-Robles, R.; Sumper, A.; Bergas-Jané, J. Probabilistic agent-based model of electric vehicle charging demand to analyse the impact on distribution networks. Energies 2015, 8, 4160–4187. [Google Scholar] [CrossRef][Green Version]
- Keles, D.; Wietschel, M.; Most, D.; Rentz, O. Market penetration of fuel cell vehicles—Analysis based on agent behavior. Int. J. Hydrog. Energy 2008, 33, 4444–4455. [Google Scholar] [CrossRef]
- Dangl, T. Investment and capacity choice under uncertain demand. Eur. J. Oper. Res. 1999, 117, 415–428. [Google Scholar] [CrossRef]
- Qin, R.; Grasman, S.E.; Martin, K.B. An inventory modeling approach for hydrogen fueling station capacity considering and outside option. Energy Syst. 2013, 4, 195–217. [Google Scholar]
- Struben, J.; Sterman, J. Transition challenges for alternative fuel vehicle and transportation systems. Environ. Plan. B Plan. Des. 2007, 35, 1070–1097. [Google Scholar] [CrossRef]
- Gnann, T.; Plötz, P. A review of combined models for market diffusion of alternative fuel vehicles and refueling infrastructure. Renew. Sustain. Energy Rev. 2015, 47, 783–793. [Google Scholar] [CrossRef]
- Lin, C.; Choy, K.L.; Ho, G.T.S.; Chung, S.H.; Lam, H.Y. Survey of green vehicle routing problem: Past and future trends. Expert Syst. Appl. 2014, 3, 1118–1138. [Google Scholar] [CrossRef]
- Lebeau, P.; De Cauwer, C.; Van Mierlo, J.; Macharis, C.; Verbeke, W.; Coosemans, T. Conventional, Hybrid, or Electric Vehicles: Which Technology for an Urban Distribution Centre? Sci. World J. 2015, 302867. [Google Scholar] [CrossRef] [PubMed]
- Gonçalves, F.; Cardoso, S.R.; Relvas, S.; Barbosa-Povoa, A. Optimization of a distribution network using electric vehicles: A VRP problem. In Proceedings of the IO2011-15 Congresso da associação Portuguesa de Investigação Operacional, Coimbra, Portugal, 18–20 April 2011.
- Erdoğan, S.; Miller-Hooks, E. A green vehicle routing problem. Transp. Res. E Logist. Transp. Rev. 2012, 48, 100–114. [Google Scholar] [CrossRef]
- Schneider, M.; Stenger, A.; Goeke, D. The electric vehicle-routing problem with time windows and recharging stations. Transp. Sci. 2014, 48, 500–520. [Google Scholar] [CrossRef]
- Conrad, R.G.; Figliozzi, M.A. The Recharging Vehicle Routing Problem. Available online: http://web.cecs.pdx.edu/~maf/Conference_Proceedings/2011_The_Recharging_Vehicle_Routing_Problem.pdf (accessed on 16 January 2016).
- Bae, S.H.; Sarkis, J.; Yoo, C.S. Greening transportation fleets: Insights from a two-stage game theoretic model. Transp. Res. E Logist. Transp. Rev. 2011, 47, 793–807. [Google Scholar] [CrossRef]
- Van Duin, J.H.R.; Tavasszy, L.A.; Quak, H.J. Towards E(lectric)-urban freight: First promising steps in the electric vehicle revolution. Eur. Transp. Trasp. Eur. 2013, 54, 1–19. [Google Scholar]
- Hiermann, G.; Puchinger, J.; Hartl, R.F. The Electric Fleet Size and Mix Vehicle Routing Problem with Time Windows and Recharging Stations. 2015. Available online: http://prolog.univie.ac.at/research/publications/downloads/Hie_2015_638.pdf (accessed on 16 January 2016).
- Mercuri, R.; Bauen, A.; Hart, D. Options for refueling hydrogen fuel cell vehicles in Italy. J. Power Sources 2002, 106, 353–363. [Google Scholar] [CrossRef]
- Joffe, D.; Hart, D.; Bauen, A. Modelling of hydrogen infrastructure for vehicle refueling in London. J. Power Sources 2004, 131, 13–22. [Google Scholar] [CrossRef]
- O’Garra, T.; Mourato, S.; Pearson, P. Analyzing awareness and acceptability of hydrogen vehicles: A London case study. Int. J. Hydrog. Energy 2005, 30, 649–659. [Google Scholar] [CrossRef]
- Brey, J.J.; Brey, R.; Carazo, A.F.; Contreras, I.; Hernandez-Diaz, A.G.; Gallardo, V. Designing a gradual transition to a hydrogen economy on Spain. J. Power Sources 2006, 159, 1231–1240. [Google Scholar] [CrossRef]
- Weinert, J.X.; Liu, S.; Ogden, J.M.; Ma, J. Hydrogen refueling station costs in Shanghai. Int. J. Hydrog. Energy 2007, 32, 4089–4100. [Google Scholar] [CrossRef]
- Tzimas, E.; Castello, P.; Peteves, S. The evolution of size and cost of a hydrogen delivery infrastructure in Europe in the medium and long term. Int. J. Hydrog. Energy 2007, 32, 1355–1368. [Google Scholar] [CrossRef]
- Ball, M.; Wietschel, M.; Rentz, O. Integration of a hydrogen economy into the German energy system: An optimizing modeling approach. Int. J. Hydrog. Energy 2007, 32, 1355–1368. [Google Scholar] [CrossRef]
- Almansoori, A.; Shah, N. Design and operation of a future hydrogen supply chain: Snapshot model. Chem. Eng. Res. Des. 2006, 84, 423–438. [Google Scholar] [CrossRef]
- Kim, J.; Moon, I. Strategic design of hydrogen infrastructure considering cost and safety using multiobjective optimization. Int. J. Hydrog. Energy 2008, 33, 5887–5896. [Google Scholar] [CrossRef]
- Lin, Z.; Chen, C.; Ogden, J.; Fan, Y. The least-cost hydrogen for southern California. Int. J. Hydrog. Energy 2008, 33, 3009–3014. [Google Scholar] [CrossRef]
- Johnson, N.; Yang, C.; Ogden, J. A GIS-based assessment of coal-based hydrogen infrastructure deployment in the State of Ohio. Int. J. Hydrog. Energy 2008, 30, 5287–5303. [Google Scholar] [CrossRef]
- Ogden, J.M. Developing an infrastructure for hydrogen vehicles: A southern California case study. Int. J. Hydrog. Energy 1999, 24, 709–730. [Google Scholar] [CrossRef]
- Agnolucci, P.; McDowall, W. Designing future hydrogen infrastructure: Insights from analysis at different spatial scales. Int. J. Hydrog. Energy 2013, 38, 5181–5191. [Google Scholar] [CrossRef]
- Galus, M.D.; Zima, M.; Andersson, G. On integration of plug-in hybrid electric vehicles into existing power system structures. Energy Policy 2011, 38, 6736–6745. [Google Scholar] [CrossRef]
- Sioshansi, R. OR Forum-Modeling the impacts of electricity tariffs on plug-in hybrid electric vehicle charging, costs, and emissions. Oper. Res. 2012, 60, 506–516. [Google Scholar] [CrossRef]
- Huang, J.; Leng, M.; Liang, L.; Liu, J. Promoting electric automobiles: Supply chain analysis under a government’s subsidy incentive scheme. IIE Trans. 2012, 45, 826–844. [Google Scholar] [CrossRef]
- Avci, B.; Girortra, K.; Netessine, S. Electric vehicles with a battery switching station: Adoption and environmental impact. Manag. Sci. 2014, 61, 772–794. [Google Scholar] [CrossRef]
- Kleindorfer, P.R.; Neboian, A.; Roset, A.; Spinler, S. Fleet renewal with electric vehicles at La Poste. Interfaces 2012, 42, 465–477. [Google Scholar] [CrossRef]
- Wang, Y.W.; Lin, C.C. Locating multiple types of recharging stations for battery-powered electric vehicle transport. Transp. Res. E Logist. Transp. Rev. 2013, 58, 76–87. [Google Scholar] [CrossRef]
- Chocteau, V.; Drake, D.; Kleindorfer, P.; Orsato, R.J.; Roset, A. Collaborative innovation for sustainable fleet operations: The Electric Vehicle Adoption Decision. 2011. Available online: http://www.insead.edu/facultyresearch/research/doc.cfm?did=47857 (accessed on 16 January 2016).
- Golden, B.; Assad, A.; Levy, L.; Gheysens, F. The fleet size and mix vehicle routing problem. Comput. Oper. Res. 1984, 11, 49–66. [Google Scholar] [CrossRef]
- Baldacci, R.; Battarra, M.; Vigo, D. Routing a Heterogeneous Fleet of Vehicles. In The Vehicle Routing Problem: Latest Advances and New Challenges; Golden, B., Raghavan, S., Wasil, E., Eds.; Springer: New York, NY, USA, 2008; pp. 3–27. [Google Scholar]
- Liu, F.H.; Shen, S.Y. The fleet size and mix vehicle routing problem with time windows. J. Oper. Res. Soc. 1999, 50, 721–732. [Google Scholar] [CrossRef]
- Tredeau, F.P.; Salameh, Z.M. Evaluation of lithium iron phosphate batteries for electric vehicles application. In Proceedings of the IEEE Vehicle Power and Propulsion Conference, Dearborn, MI, USA, 7–10 September 2009; pp. 1266–1270.
- Botsford, C.; Szczepanek, A. Fast charging vs. slow charging: Pros and cons for the new age of electric vehicles. In Proceedings of the EVS24 International Battery, Hybrid and Fuel Cell Electric Vehicle Symposium, Stavanger, Norway, 13–16 May 2009.
- Hung, Y.C.; Michailidis, G. Optimal routing for electric vehicle service systems. Eur. J. Oper. Res. 2015, 247, 515–524. [Google Scholar] [CrossRef]
- Liu, W.Y.; Lin, C.C.; Chiu, C.R.; Tsao, Y.S.; Wang, Q. Minimizing the carbon footprint for the time-dependent heterogeneous-fleet vehicle routing problem with alternative paths. Sustainability 2014, 6, 4658–4684. [Google Scholar] [CrossRef]
- Fang, W.T.; Huang, C.W.; Chou, J.Y.; Cheng, B.Y.; Shih, S.S. Low carbon footprint routes for bird watching. Sustainability 2015, 7, 3290–3310. [Google Scholar] [CrossRef]
- Dominguez, O.; Juan, A.; Nuez, I.; Ouelhadj, D. An ILS-Biased Randomization algorithm for the two-dimensional loading HFVRP with sequential loading and items rotation. J. Oper. Res. Soc. 2015. [Google Scholar] [CrossRef]
- Juan, A.; Grasman, S.; Caceres, J.; Bektas, T. A Simheuristic Algorithm for the single-period stochastic inventory routing problem with stock-outs. Simul. Model. Pract. Theory 2014, 46, 40–52. [Google Scholar] [CrossRef]
- Doerner, K.F.; Schmid, V. Survey: Matheuristics for Rich Vehicle Routing Problems. In Hybrid Metaheuristics; Blesa, M.J., Blum, C., Raidl, G., Roli, A., Sampels, M., Eds.; Springer: Berlin, Germany, 2010; pp. 206–221. [Google Scholar]
- Juan, A.; Faulin, J.; Grasman, S.; Rabe, M.; Figueira, G. A review of Simheuristics: Extending metaheuristics to deal with stochastic optimization problems. Oper. Res. Perspect. 2015, 2, 62–72. [Google Scholar] [CrossRef]
- Juan, A.; Faulin, J.; Jorba, J.; Caceres, J.; Marques, J. Using parallel & distributed computing for solving real-time vehicle routing problems with stochastic demands. Ann. Oper. Res. 2013, 207, 43–65. [Google Scholar]
- Fikar, C.; Juan, A.; Martinez, E.; Hirsch, P. A discrete-event driven metaheuristic for dynamic home-service routing with synchronized trip sharing. Eur. J. Ind. Eng. 2016, in press. [Google Scholar] [CrossRef]
- Aguirre, K.; Eisenhardt, L.; Lim, C.; Nelson, B.; Norring, A.; Slowik, P.; Tu, N. Lifecycle Analysis Comparison of a Battery Electric Vehicle and a Conventional Gasoline vehicle. Available online: http://www.ioe.ucla.edu/perch/resources/files/batteryelectricvehiclelca2012.pdf (accessed on 16 January 2016).
- Gao, L.; Winfield, Z.C. Life cycle assessment of environmental and economic impacts of advanced vehicles. Energies 2012, 5, 605–620. [Google Scholar] [CrossRef]
- Li, S.; Li, J.; LI, N.; Gao, Y. Vehicle Cycle Analysis Comparison of Battery Electric Vehicle and Conventional Vehicle in China; SAE Technical Paper 2013-01-2581; SAE International: Warrendale, PA, USA, 2013. [Google Scholar]
- Noori, M.; Gardner, S.; Tatari, O. Electric vehicle cost, emissions, and water footprint in the United States: Development of a regional optimization model. Energy 2015, 89, 610–625. [Google Scholar] [CrossRef]
- Aultman-Hall, L.; Sears, J.; Dowds, J.; Hines, P. Travel demand and charging capacity for electric vehicles in rural states. Transp. Res. Rec. J. Transp. Res. Board 2012, 2287, 27–36. [Google Scholar] [CrossRef]
- Newman, D.; Wells, P.; Donovan, C.; Nieuwenhuis, P.; Davies, H. Urban, sub-urban or rural: Where is the best place for electric vehicles? Int. J. Autom. Technol. Manag. 2014, 14, 306–323. [Google Scholar] [CrossRef]
- Wappelhorst, S.; Sauer, M.; Hinkeldein, D.; Bocherding, A.; Glaß, T. Potential of electric carsharing in urban and rural areas. Transp. Res. Procedia 2014, 4, 374–386. [Google Scholar] [CrossRef]
- Kinomura, S.; Kusafuka, H.; Kamichi, K.; Ono, T. Development of Vehicle Power Connector Equipped with Outdoor Power Outlet Using Vehicle Inlet of Plug-in Hybrid Vehicle; SAE Technical Papers 2013-01-1442; SAE International: Warrendale, PA, USA, 2013. [Google Scholar]
- Yamamura, T.; Miwa, H. Store-carry-forward energy distribution method and routing control method for use in a disaster. In Proceedings of the 2014 International Conference on Intelligent Networking and Collaborative Systems, Salerno, Italy, 10–12 September 2014; pp. 289–295.
- Yamagata, Y.; Seya, H.; Kuroda, S. Energy resilient smart community: Sharing green electricity using V2C technology. Energy Procedia 2014, 61, 84–87. [Google Scholar] [CrossRef]
|Environmental||(1) Including the cost of externalities (noise, air pollution, infrastructure wear, etc.) in L&T activities.|
|(2) Analyzing how the increasing use of EVs reduces the environmental impact of L&T activities. Exploring new environmentally-sustainable yet efficient ways of doing freight deliveries in urban areas. In particular, considering energy cost and carbon footprint in Vehicle Routing Problems. Studying the environmental cost of manufacturing EVs as well as producing the energy needed to power them.|
|(3) Measuring the effect of using small EVs (e.g., electric bikes, drones, etc.) to perform urban last mile distribution.|
|Strategic and Planning||(1) Analyzing different EV related technologies and infrastructures (e.g., standard EV vs. hydrogen vehicles).|
|(2) Computing the necessary recharging stations, both for standard EVs as well as for hydrogen vehicles, and analyzing their integration in the transport network, i.e., number and type of stations, location, capacity, etc.|
|(3) Determining the optimal combination of EVs and internal combustion engine vehicles (fleet size and mix problem). In particular, developing new optimization approaches for the Fleet Size and Mix Vehicle Routing Problem.|
|(4) Exploring potential uses of renewably-generated electricity to power hydrogen vehicles.|
|(5) Quantifying the benefits of horizontal cooperation among stakeholders of EV fleets (e.g., fleet manager, auto manufacturer, electricity supplier, etc.).|
|Operational||(1) Analyzing the impact of EVs recharging times in Vehicle Routing Problems with time-related constraints.|
|(2) Comparing battery swapping vs. battery recharging strategies, and proposing the right combination of both. In particular comparing these strategies in Vehicle Routing Problems with EVs.|
|(3) Considering the new issues derived from the driving-range limitations of EVs. In particular, developing new optimization approaches for the Vehicle Routing Problem with multiple driving-range constraints.|
|Fleet size and mix||(1) Determine the number and type of EVs to be purchased. |
(2) Determine the ideal composition of the heterogeneous fleet.
|(1) Environmental standards and price incentive to acquisition of EVs. |
(2) Fixed and variable charging times.
(3) Limited budget to renew the fleet of vehicles.
|(1) Minimize the acquisition and operating costs of new EVs. |
(2) Maximize the satisfaction of customer needs.
(3) Minimize the environmental impact.
|Charging networks||(1) Determine number and geographical position of recharging stations. |
(2) Determine capacity of recharging stations.
(3) Determine technology of recharging stations (low or fast recharge).
(4) Decide between swapping or recharging of batteries.
|(1) Limited budget to install new recharging stations. |
(2) Needs of EVs to recharge or exchange batteries.
|(1) Minimize the investment and operating costs of charging networks. |
(2) Maximize the level of service to customers.
|Routing||(1) Determine the number of visits to recharging stations. |
(2) Determine the timing of visits to recharging stations.
(3) Allocate available recharging resources to vehicles in recharging stations.
(4) Select the option of recharging or swapping batteries.
|(1) Geographical position of recharging stations. |
(2) Capacity of recharging stations.
(3) Fixed or variable recharging/swapping times.
|(1) Minimize routing cost considering recharging operations. |
(2) Minimize routing times considering recharging operations.
(3) Minimize recharging and swapping costs.
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