2014 IEEE Conference and Expo Transportation Electrification Asia-Pacific (ITEC Asia-Pacific) 2014
DOI: 10.1109/itec-ap.2014.6941081
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Cited by 5 publications
(4 citation statements)
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“…To solve the proposed model, a multi-objective optimization was proposed. In [68], the siting and sizing were determined based on the calculation of the radius of the charging station service. Some other approaches considered the optimal ET plug-in charging station time usage.…”
Section: Electric Taxis (Ets) Approachesmentioning
confidence: 99%
“…To solve the proposed model, a multi-objective optimization was proposed. In [68], the siting and sizing were determined based on the calculation of the radius of the charging station service. Some other approaches considered the optimal ET plug-in charging station time usage.…”
Section: Electric Taxis (Ets) Approachesmentioning
confidence: 99%
“…To solve the proposed model, a multi-objective optimization was proposed. In [68], the siting and sizing were determined based on the calculation of the radius of the charging station service.…”
Section: Electric Taxis (Ets) Approachesmentioning
confidence: 99%
“…As BSM is in the early stage of development, the BSSs for taxis and buses are relatively easy to extend, considering the utilization ratio of BSEV and investment cost of BSS. Some researches of BSSs focus on taxis [19], [20], buses [21]- [23], and a combination of two [24]. However, the scale of taxis and buses only takes a small portion of the whole vehicle population.…”
Section: Ioc Class Coefficient Of Investment and Operation Cost MI Clmentioning
confidence: 99%
“…In (19), C j R is used to determine if there are accessible BSSs in location j. C R,i and P R,BSS can be calculated as in (20) and (21). C R,i means the service degree of the ith BSS within the entire region.…”
Section: Spatial-temporal Distribution Of Bsev Service Demand Bymentioning
confidence: 99%