How accurate are drivers' predictions of their own mobility? Accounting for psychological factors in the development of intelligent charging technology for electric vehicles

Transportation Research Part A: Policy and Practice

Volumn 48, Issue , 2013, Pages 123-131

  Hahnel, Ulf J J ^a,b   Gölz, Sebastian ^b   Spada, Hans ^a  

^a UNIVERSITY OF FREIBURG   (Germany)

^b FRAUNHOFER INSTITUTE FOR SOLAR ENERGY SYSTEMS ISE   (Germany)

Author keywords

Drivers' mobility predictions; Electric vehicles; Intelligent charging

Indexed keywords

ELECTRIC AUTOMOBILES; ELECTRIC VEHICLES; FORECASTING; RENEWABLE ENERGY RESOURCES; SECONDARY BATTERIES;

ELECTRIC VEHICLES (EVS); INACCURATE INFORMATION; MANAGEMENT SYSTEMS; MOBILITY BEHAVIOR; MOBILITY PREDICTIONS; PSYCHOLOGICAL FACTORS; RENEWABLE ENERGIES; RENEWABLE ENERGY SOURCE;

CHARGING (BATTERIES);

ACCURACY ASSESSMENT; ELECTRIC VEHICLE; ERROR ANALYSIS; GPS; MOBILITY; OPTIMIZATION; PREDICTION; PSYCHOLOGY;

EID: 84873743296     PISSN: 09658564     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.tra.2012.10.011     Document Type: Article

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