Personalized driving behavior monitoring and analysis for emerging hybrid vehicles

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 7319 LNCS, Issue , 2012, Pages 1-19

  Li, Kun ^a   Lu, Man ^a   Lu, Fenglong ^a   Lv, Qin ^b   Shang, Li ^a   Maksimovic, Dragan ^a  

^a Transport Methods Section   (United States)

^b UCB 450   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DE-NOISE; DRIVING BEHAVIOR; ELECTRIC-DRIVE VEHICLES; ENERGY USE; FUEL USE; LIMITED FEEDBACK; MODE CLASSIFICATION; MULTI-MODALITY; NON-INTRUSIVE; ON-BOARD DIAGNOSTICS; OPERATION MODE; PLUG-INS; SUBSTANTIAL REDUCTION; SYSTEM EVALUATION; USER STUDY; VEHICLE MANUFACTURERS;

BEHAVIORAL RESEARCH; GAS EMISSIONS; GREENHOUSE GASES; LAND VEHICLE PROPULSION; UBIQUITOUS COMPUTING; VEHICLE PERFORMANCE;

HYBRID VEHICLES;

EID: 84864256766     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-31205-2_1     Document Type: Conference Paper

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