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Volumn , Issue , 2010, Pages 70-75

Short term prediction of traffic parameters using support vector machines technique

Author keywords

Heterogeneous traffic; Intelligent Transportation Systems; Short term traffic prediction; Support vector machines

Indexed keywords

ADVANCED TRAVELLER INFORMATION SYSTEMS; FILTERING TECHNIQUE; HETEROGENEOUS TRAFFIC; INTELLIGENT TRANSPORTATION SYSTEMS; MACHINE LEARNING TECHNIQUES; PATTERN CLASSIFICATION; PREDICTION METHODOLOGY; REAL TIME; REGRESSION TECHNIQUES; SHORT TERM PREDICTION; SHORT TERM TRAFFIC PREDICTION; TRAFFIC CONDITIONS; TRAFFIC PARAMETERS; TRAFFIC PLANNING; TRAFFIC VARIABLES; TRAVEL TIME;

EID: 79952352942     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICETET.2010.37     Document Type: Conference Paper
Times cited : (29)

References (9)
  • 1
    • 47849099540 scopus 로고    scopus 로고
    • Support vector machine technique for the short term prediction of travel time
    • Istanbul, Turkey
    • Vanajakshi, L., Rilett, L. R. (2007). "Support Vector Machine Technique for the Short Term Prediction of Travel Time" Intelligent Vehicles Symposium, Istanbul, Turkey, 600-605
    • (2007) Intelligent Vehicles Symposium , pp. 600-605
    • Vanajakshi, L.1    Rilett, L.R.2
  • 2
    • 4544262864 scopus 로고    scopus 로고
    • A comparison of the performance of artificial neural networks and support vector machines for the prediction of traffic speed
    • University of Parma, Parma, Italy
    • Vanajakshi, L., Rilett, L. R. (2004). "A comparison of the performance of artificial neural networks and support vector machines for the prediction of traffic speed" Intelligent Vehicles Symposium, University of Parma, Parma, Italy, 194-199
    • (2004) Intelligent Vehicles Symposium , pp. 194-199
    • Vanajakshi, L.1    Rilett, L.R.2
  • 6
    • 70449989388 scopus 로고    scopus 로고
    • Short-time traffic flow volume prediction based on support vector machine with time-dependent structure
    • Singapore
    • Li, Q. (2009) 'Short-time Traffic Flow Volume Prediction Based on Support Vector Machine with Time-dependent Structure' Instrumentation and Measurement Technology Conference, Singapore, 1730-1733
    • (2009) Instrumentation and Measurement Technology Conference , pp. 1730-1733
    • Li, Q.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.