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Volumn , Issue , 2014, Pages 2823-2827

Urban traffic flow prediction: A MapReduce based parallel multivariate linear regression approach

Author keywords

[No Author keywords available]

Indexed keywords

FORECASTING; INTELLIGENT SYSTEMS; INTELLIGENT VEHICLE HIGHWAY SYSTEMS; LINEAR REGRESSION; PREDICTIVE ANALYTICS; TIME SERIES ANALYSIS;

EID: 84937119782     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ITSC.2014.6958142     Document Type: Conference Paper
Times cited : (14)

References (17)
  • 3
    • 79958135902 scopus 로고    scopus 로고
    • Variational inference for infinite mixtures of Gaussian processes with applications to traffic flow prediction
    • S.-L Sun, and X. Xu. Variational Inference for Infinite Mixtures of Gaussian Processes with Applications to Traffic Flow Prediction. IEEE Transactions on Intelligent Transportation Systems, vol.12, no.2, pp.466-475, 2011.
    • (2011) IEEE Transactions on Intelligent Transportation Systems , vol.12 , Issue.2 , pp. 466-475
    • Sun, S.-L.1    Xu, X.2
  • 6
    • 84866843145 scopus 로고    scopus 로고
    • Distributed maximum likelihood estimation for flow and speed density prediction in distributed trafficdetectors with Gaussian mixture model assumption
    • A. Ramezani, B. Moshiri, A.R. Kian, B.N. Aarabi, and B. Abdulhai, Distributed maximum likelihood estimation for flow and speed density prediction in distributed trafficdetectors with Gaussian mixture model assumption. IET Intelligent Transport Systems, vol.6, no.2, 215-222, 2012.
    • (2012) IET Intelligent Transport Systems , vol.6 , Issue.2 , pp. 215-222
    • Ramezani, A.1    Moshiri, B.2    Kian, A.R.3    Aarabi, B.N.4    Abdulhai, B.5
  • 10
    • 84870977920 scopus 로고    scopus 로고
    • On-road sensor configuration design for traffic flow prediction using fuzzy neural networks and taguchi method
    • K.-Y. Chan, T. S. Dillon, On-Road Sensor Configuration Design for Traffic Flow Prediction Using Fuzzy Neural Networks and Taguchi Method, IEEE Transactions on Instrumentation and Measurement, vol.62, no.1, pp.50-59, 2013.
    • (2013) IEEE Transactions on Instrumentation and Measurement , vol.62 , Issue.1 , pp. 50-59
    • Chan, K.-Y.1    Dillon, T.S.2
  • 14
    • 84883463862 scopus 로고    scopus 로고
    • Enabling real-time city sensing with kernel stream oracles and MapReduce
    • C. Kaiser, A. Pozdnoukhov, Enabling real-time city sensing with kernel stream oracles and MapReduce. Pervasive and Mobile Computing, vol.9, no.5, pp.708-721, 2013.
    • (2013) Pervasive and Mobile Computing , vol.9 , Issue.5 , pp. 708-721
    • Kaiser, C.1    Pozdnoukhov, A.2
  • 15
    • 80053193134 scopus 로고    scopus 로고
    • Using cloud computing to process intensive floating car data for urban traffic surveillance
    • Q. Li, T. Zhang, and Y. Yu, Using cloud computing to process intensive floating car data for urban traffic surveillance, International Journal of Geographical Information Science, vol.25, no.8, pp.1303-1322, 2011.
    • (2011) International Journal of Geographical Information Science , vol.25 , Issue.8 , pp. 1303-1322
    • Li, Q.1    Zhang, T.2    Yu, Y.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.