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Volumn 5633 LNAI, Issue , 2009, Pages 176-190

Evaluation of distraction in a driver-vehicle-environment framework: An application of different data-mining techniques

Author keywords

Adaptive Network based Fuzzy Inference System; Distraction; Fuzzy Logic; Machine Learning; Neural Networks; Traffic Safety

Indexed keywords

ADAPTIVE NETWORK BASED FUZZY INFERENCE SYSTEM; ARTIFICIAL NEURAL NETWORK; COUNTER MEASURES; DRIVING TASKS; TRAFFIC SAFETY;

EID: 76249124732     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-03067-3_15     Document Type: Conference Paper
Times cited : (14)

References (14)
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    • Effect of In-vehicle Route Guidance Systems on Driver Workload and Choice of Vehicle Speed: Findings from a Driving Simulator Experiment
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    • Srinivasan, R., Jovanis, P.P.: Effect of In-vehicle Route Guidance Systems on Driver Workload and Choice of Vehicle Speed: Findings from a Driving Simulator Experiment. In: Ergonomics and safety in intelligent driver interfaces. Lawrence Erlbaum Associates, Publishers, Mahwah (1997)
    • (1997) Ergonomics and safety in intelligent driver interfaces
    • Srinivasan, R.1    Jovanis, P.P.2
  • 7
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    • Compensatory Control in the Regulation of human Performance under Stress and high Workload: A cognitive energetical Framework
    • Hockey, G.R.J.: Compensatory Control in the Regulation of human Performance under Stress and high Workload: a cognitive energetical Framework. Biological Psychology 45, 73-93 (1997)
    • (1997) Biological Psychology , vol.45 , pp. 73-93
    • Hockey, G.R.J.1
  • 8
    • 76249126744 scopus 로고    scopus 로고
    • Tango, F., et al.: Field Tests and Machine Learning Approaches for refining Algorithms and Correlations of Driver's Model Parameters. Applied Ergonomics Journal, Special Issue: Cacciabue P.C. et al (eds). Springer, Heidelberg (in press)
    • Tango, F., et al.: Field Tests and Machine Learning Approaches for refining Algorithms and Correlations of Driver's Model Parameters. Applied Ergonomics Journal, Special Issue: Cacciabue P.C. et al (eds). Springer, Heidelberg (in press)
  • 9
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    • The Lane Change Task as a Tool for Driver Distraction Evaluation
    • Dearborn, Michigan October
    • Mattes, S.: The Lane Change Task as a Tool for Driver Distraction Evaluation. In: IHRAITS Workshop on Driving Simulator Scenarios - Dearborn, Michigan (October 2003)
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    • Mattes, S.1
  • 13
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    • Real-time Detection of Driver Cognitive Distraction using Support Vector Machines
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    • Liang, Y., et al.: Real-time Detection of Driver Cognitive Distraction using Support Vector Machines. IEEE Transaction on Intelligent Transportation Systems 8(2) (June 2007)
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  • 14
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    • The influence of IVIS distractions on tactical and control levels of driving performance
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    • Reyes, M., Lee, J.D.: The influence of IVIS distractions on tactical and control levels of driving performance. In: Proceedings of the Human Factors and Ergonomics Society 48th Annual Meeting (CD), pp. 2369-2373. Human Factors and Ergonomics Society, Santa Monica (2004)
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    • Reyes, M.1    Lee, J.D.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.