2014
DOI: 10.1016/j.eswa.2013.11.015
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Green vehicle routing in urban zones – A neuro-fuzzy approach

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Cited by 50 publications
(33 citation statements)
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“…Eq. (3) states that controlling the total energy of EV, which is enough to reach CSs. Here EV Bcap stands for battery capacity of EV, EV BSOC,i (t) stands for battery SOC in the time t, l stands for length (km) of possible routed way and P EVc stands the energy consumption per km for EVs.…”
Section: Formulation Of the Optimization Problemmentioning
confidence: 99%
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“…Eq. (3) states that controlling the total energy of EV, which is enough to reach CSs. Here EV Bcap stands for battery capacity of EV, EV BSOC,i (t) stands for battery SOC in the time t, l stands for length (km) of possible routed way and P EVc stands the energy consumption per km for EVs.…”
Section: Formulation Of the Optimization Problemmentioning
confidence: 99%
“…mainly used to deliver goods to seller under many different purposes (time dependent, shortest way, emergency goods, etc.) [3][4][5]. From this point of view, VRP is crucial for routing of EVs considering long charging times, insufficient CSs, limited driving range, etc.…”
Section: Introductionmentioning
confidence: 99%
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“…Fusco et al (2013) evaluate the effects of using a combined natural gas and electric vehicle fleet on the network's operating costs. Finally, Jovanović et al (2014) propose a neuro-fuzzy approach for determining routes and allocating green buses, considering harmful exhausts and noise as environmental externalities.…”
Section: Environmental Considerations For the Trndpmentioning
confidence: 99%
“…Another important decision is the choice of the emission calculation method since most of the models require a lot of parameters (e.g., fuel type, vehicle and route characteristics, and traffic condition) that cannot be always estimated in advance [20,[42][43][44][45]. As an alternative, the activity-based method that multiplies activity intensity (unit: TEU-km) with the CO 2 emission factor (unit: g/TEU-km) to calculate the total CO 2 emissions [5] yields a better feasibility in transportation practice and has been already applied in various studies [2,5,37,39,41,46].…”
Section: Literature Reviewmentioning
confidence: 99%