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• W2887019600 startingPage "907" @default.
• W2887019600 abstract "As electric vehicles (EVs) have gained an increasing market penetration rate, the traffic on urban roads will tend to be a mix of traditional gasoline vehicles (GVs) and EVs. These two types of vehicles have different energy consumption characteristics, especially the high energy efficiency and energy recuperation system of EVs. When GVs and EVs form a platoon that is recognized as an energy-friendly traffic pattern, it is critical to holistically consider the energy consumption characteristics of all vehicles to maximize the energy efficiency benefit of platooning. To tackle this issue, this paper develops an optimal control model as a foundation to provide eco-driving suggestions to the mixed-traffic platoon. The proposed model leverages the promising connected vehicle technology assuming that the speed advisory system can obtain the information on the characteristics of all platoon vehicles. To enhance the model applicability, the study proposes two eco-driving advisory strategies based on the developed optimal control model. One strategy provides the lead vehicle an acceleration profile, while the other provides a set of targeted cruising speeds. The acceleration-based eco-driving advisory strategy is suitable for platoons with an automated leader, and the speed-based advisory strategy is more friendly for platoons with a human-operated leader. Results of numerical experiments demonstrate the significance when the eco-driving advisory system holistically considers energy consumption characteristics of platoon vehicles." @default.
• W2887019600 created "2018-08-22" @default.
• W2887019600 creator A5019785197 @default.
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• W2887019600 date "2018-08-01" @default.
• W2887019600 modified "2023-10-14" @default.
• W2887019600 title "Eco-driving advisory strategies for a platoon of mixed gasoline and electric vehicles in a connected vehicle system" @default.
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• W2887019600 doi "https://doi.org/10.1016/j.trd.2018.07.014" @default.
• W2887019600 hasPublicationYear "2018" @default.
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