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Volumn , Issue , 2014, Pages 282-289

Traffic prediction, data compression, abnormal data detection and missing data imputation: An integrated study based on the decomposition of traffic time series

Author keywords

[No Author keywords available]

Indexed keywords

FORECASTING; INTELLIGENT SYSTEMS; INTELLIGENT VEHICLE HIGHWAY SYSTEMS; PREDICTIVE ANALYTICS; STREET TRAFFIC CONTROL; TIME SERIES;

EID: 84937144263     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ITSC.2014.6957705     Document Type: Conference Paper
Times cited : (16)

References (41)
  • 3
    • 79951775181 scopus 로고    scopus 로고
    • Statistical methods versus neural networks in transportation research: Differences, similarities and some insights
    • M. G. Karlaftis, E. I. Vlahogianni, "Statistical methods versus neural networks in transportation research: Differences, similarities and some insights," Transportation Research Part C: Emerging Technologies, Vol. 19, no. 3, pp. 387-399, 2011.
    • (2011) Transportation Research Part C: Emerging Technologies , vol.19 , Issue.3 , pp. 387-399
    • Karlaftis, M.G.1    Vlahogianni, E.I.2
  • 6
    • 1942472972 scopus 로고    scopus 로고
    • Detecting errors and imputing missing data for single loop surveillance systems
    • C. Chen, J. Kwon, J. Rice, A. Skabardonis, P. Varaiya, "Detecting errors and imputing missing data for single loop surveillance systems," Transportation Research Record, no. 1855, pp. 160-167, 2002.
    • (2002) Transportation Research Record , Issue.1855 , pp. 160-167
    • Chen, C.1    Kwon, J.2    Rice, J.3    Skabardonis, A.4    Varaiya, P.5
  • 7
    • 59349121003 scopus 로고    scopus 로고
    • Robust PCA based abnormal traffic flow pattern isolation and loop detector fault detection
    • X. Jin, Y. Zhang, L. Li, J. Hu, "Robust PCA based abnormal traffic flow pattern isolation and loop detector fault detection," Tsinghua Sciences and Technologies, Vol. 13, no. 6, pp. 829-835, 2008.
    • (2008) Tsinghua Sciences and Technologies , vol.13 , Issue.6 , pp. 829-835
    • Jin, X.1    Zhang, Y.2    Li, L.3    Hu, J.4
  • 8
    • 84961288977 scopus 로고    scopus 로고
    • A functional data approach to missing value imputation and outlier detection for traffic flow data
    • J.-M. Chiou, Y.-C. Zhang, W.-H. Chen, C.-W. Chang, "A functional data approach to missing value imputation and outlier detection for traffic flow data," Transportmetrica B: Transport Dynamics, Vol. 2, no. 2, pp. 106-129, 2014.
    • (2014) Transportmetrica B: Transport Dynamics , vol.2 , Issue.2 , pp. 106-129
    • Chiou, J.-M.1    Zhang, Y.-C.2    Chen, W.-H.3    Chang, C.-W.4
  • 9
    • 33845979473 scopus 로고    scopus 로고
    • Measuring variability in urban traffic flow by use of principal component analysis
    • T. Tsekeris, A. Stathopoulos, "Measuring variability in urban traffic flow by use of Principal Component Analysis," Journal of Transportation and Statistics, Vol. 9, no. 1, pp. 49-62, 2006.
    • (2006) Journal of Transportation and Statistics , vol.9 , Issue.1 , pp. 49-62
    • Tsekeris, T.1    Stathopoulos, A.2
  • 10
    • 33748777697 scopus 로고    scopus 로고
    • Methodology for processing archived ITS data for reliability analysis in urban networks
    • A. Stathopoulos and T. Tsekeris, "Methodology for processing archived ITS data for reliability analysis in urban networks," Proceedings of IEE Intelligent Transpiration Systems, Vol. 153, no. 1, pp. 105-112, 2006.
    • (2006) Proceedings of IEE Intelligent Transpiration Systems , vol.153 , Issue.1 , pp. 105-112
    • Stathopoulos, A.1    Tsekeris, T.2
  • 14
    • 33645038382 scopus 로고    scopus 로고
    • Assessing robustness of imputation models based on data from different jurisdictions: Examples of Alberta and Saskatchewan, Canada
    • M. Zhong, S. Sharma, Z. Liu, "Assessing robustness of imputation models based on data from different jurisdictions: Examples of Alberta and Saskatchewan, Canada," Transportation Research Record, no. 1917, pp. 116-126, 2005.
    • (2005) Transportation Research Record , Issue.1917 , pp. 116-126
    • Zhong, M.1    Sharma, S.2    Liu, Z.3
  • 15
    • 28944453700 scopus 로고    scopus 로고
    • Multiple imputation scheme for overcoming the missing values and variability issues in ITS data
    • D. Ni, J. D. Leonard, II, A. Guin, C. Feng, "Multiple imputation scheme for overcoming the missing values and variability issues in ITS data," ASCE Journal of Transportation Engineering, Vol. 131, no. 12, pp. 931-938, 2005.
    • (2005) ASCE Journal of Transportation Engineering , vol.131 , Issue.12 , pp. 931-938
    • Ni, D.1    Leonard, J.D.2    Guin, A.3    Feng, C.4
  • 17
    • 70349166727 scopus 로고    scopus 로고
    • PPCA-based missing data imputation for traffic flow volume: A systematical approach
    • L. Qu, L. Li, Y. Zhang, J. Hu, "PPCA-Based missing data imputation for traffic flow volume: A systematical approach," IEEE Transactions on Intelligent Transportation Systems, Vol. 10, no. 3, pp. 512-522, 2009.
    • (2009) IEEE Transactions on Intelligent Transportation Systems , vol.10 , Issue.3 , pp. 512-522
    • Qu, L.1    Li, L.2    Zhang, Y.3    Hu, J.4
  • 18
    • 84867162135 scopus 로고    scopus 로고
    • Imputing erroneous data of singlestation loop detectors for nonincident conditions: Comparison between temporal and spatial methods
    • W. Yin, P. M. Tuite, H. Rakha, "Imputing erroneous data of singlestation loop detectors for nonincident conditions: Comparison between temporal and spatial methods," Journal of Intelligent Transportation Systems, Vol. 16, no. 3, pp. 159-176, 2012.
    • (2012) Journal of Intelligent Transportation Systems , vol.16 , Issue.3 , pp. 159-176
    • Yin, W.1    Tuite, P.M.2    Rakha, H.3
  • 19
    • 84880340417 scopus 로고    scopus 로고
    • Efficient missing data imputing for traffic flow by considering temporal and spatial dependence
    • L. Li, Y. Li, Z. Li, "Efficient missing data imputing for traffic flow by considering temporal and spatial dependence," Transportation Research Part C: Emerging Technologies, Vol. 34, pp. 108-120, 2013.
    • (2013) Transportation Research Part C: Emerging Technologies , vol.34 , pp. 108-120
    • Li, L.1    Li, Y.2    Li, Z.3
  • 20
    • 84893144148 scopus 로고    scopus 로고
    • Missing traffic data: Comparison of imputation methods
    • Y. Li, Z. Li, L. Li, "Missing traffic data: Comparison of imputation methods," IET Intelligent Transportation Systems, Vol. 8, no. 1, pp. 51-57, 2014.
    • (2014) IET Intelligent Transportation Systems , vol.8 , Issue.1 , pp. 51-57
    • Li, Y.1    Li, Z.2    Li, L.3
  • 21
    • 84931834972 scopus 로고    scopus 로고
    • A functional approach to monitor and recognize patterns of daily traffic profiles
    • I.G. Guardiola, T. Leon, F. Mallor, "A functional approach to monitor and recognize patterns of daily traffic profiles," Transportation Research Part B: Methodological, Vol. 65, pp. 119-136, 2014.
    • (2014) Transportation Research Part B: Methodological , vol.65 , pp. 119-136
    • Guardiola, I.G.1    Leon, T.2    Mallor, F.3
  • 23
    • 0027879547 scopus 로고
    • On the early history of the singular value decomposition
    • G. W. Stewart, "On the early history of the singular value decomposition," SIAM Review, Vol. 35, no. 4, pp. 551-566, 1993.
    • (1993) SIAM Review , vol.35 , Issue.4 , pp. 551-566
    • Stewart, G.W.1
  • 26
    • 3242704391 scopus 로고    scopus 로고
    • Wavelet packet-autocorrelation function method for traffic flow pattern analysis
    • X. Jiang, H. Adeli, "Wavelet packet-autocorrelation function method for traffic flow pattern analysis," Computer-Aided Civil and Infrasturcture Engineering, Vol. 19, no. 5, pp. 324-337, 2004.
    • (2004) Computer-Aided Civil and Infrasturcture Engineering , vol.19 , Issue.5 , pp. 324-337
    • Jiang, X.1    Adeli, H.2
  • 27
    • 26444571471 scopus 로고    scopus 로고
    • Dynamic wavelet neural network model for traffic flow forecasting
    • X. Jiang, H. Adeli, "Dynamic Wavelet Neural Network model for traffic flow forecasting," ASCE Journal of Transportation Engineering, Vol. 131, no. 10, pp. 771-779, 2005.
    • (2005) ASCE Journal of Transportation Engineering , vol.131 , Issue.10 , pp. 771-779
    • Jiang, X.1    Adeli, H.2
  • 28
    • 34249030515 scopus 로고    scopus 로고
    • Short-term traffic volume forecasting using Kalman filter with discrete wavelet decomposition
    • Y. Xie, Y. Zhang, Z. Ye, "Short-Term traffic volume forecasting using Kalman filter with discrete wavelet decomposition," Computer-Aided Civil and Infrastructure Engineering, Vol. 22, no. 5, pp. 326-334, 2007.
    • (2007) Computer-Aided Civil and Infrastructure Engineering , vol.22 , Issue.5 , pp. 326-334
    • Xie, Y.1    Zhang, Y.2    Ye, Z.3
  • 33
    • 84902550168 scopus 로고    scopus 로고
    • A hybrid short-term traffic flow forecasting method based on spectral analysis and statistical volatility model
    • Y. Zhang, Y. Zhang, A. Haghani, "A hybrid short-term traffic flow forecasting method based on spectral analysis and statistical volatility model," Transportation Research Part C: Emerging Technologies, Vol. 43, pp. 65-78, 2014.
    • (2014) Transportation Research Part C: Emerging Technologies , vol.43 , pp. 65-78
    • Zhang, Y.1    Zhang, Y.2    Haghani, A.3
  • 34
    • 84902553625 scopus 로고    scopus 로고
    • Adaptive Kalman filter approach for stochastic short-term traffic flow rate prediction and uncertainty quantification
    • J. Guo, W. Huang, B. M. Williams, "Adaptive Kalman filter approach for stochastic short-term traffic flow rate prediction and uncertainty quantification," Transportation Research Part C: Emerging Technologies, Vol. 43, Part 1, pp. 50-64, 2014.
    • (2014) Transportation Research Part C: Emerging Technologies , vol.43 , pp. 50-64
    • Guo, J.1    Huang, W.2    Williams, B.M.3
  • 36
    • 84887336979 scopus 로고    scopus 로고
    • Multi-matrices factorization with application to missing sensor data imputation
    • X.-Y. Huang, W. Li, K. Chen, X.-H. Xiang, R. Pan, L. Li, W.-X. Cai, "Multi-Matrices factorization with application to missing sensor data imputation," Sensors, Vol. 13, no. 11, pp. 15172-15186, 2013.
    • (2013) Sensors , vol.13 , Issue.11 , pp. 15172-15186
    • Huang, X.-Y.1    Li, W.2    Chen, K.3    Xiang, X.-H.4    Pan, R.5    Li, L.6    Cai, W.-X.7
  • 37
    • 33847119831 scopus 로고    scopus 로고
    • Short-term traffic flow prediction with regime switching models
    • M. Cetin, G. Comert, "Short-term traffic flow prediction with regime switching models," Transpiration Research Record, no. 1965, pp. 23-31, 2006.
    • (2006) Transpiration Research Record , Issue.1965 , pp. 23-31
    • Cetin, M.1    Comert, G.2
  • 38
    • 84865143932 scopus 로고    scopus 로고
    • Real-time road traffic forecasting using regime-switching space-time models and adaptive lasso
    • Y. Kamarianakis, W. Shen, L. Wynter, "Real-time road traffic forecasting using regime-switching space-time models and adaptive lasso," Applied Stochastic Models Business and Industry, Vol. 28, no. 4, pp. 297-315, 2012.
    • (2012) Applied Stochastic Models Business and Industry , vol.28 , Issue.4 , pp. 297-315
    • Kamarianakis, Y.1    Shen, W.2    Wynter, L.3
  • 39
    • 84883773412 scopus 로고    scopus 로고
    • An online change-point-based model for traffic parameter prediction
    • C. Gurcan, B. Anton, "An online change-point-based model for traffic parameter prediction," IEEE Transactions on Intelligent Transportation Systems, Vol. 14, no. 3, pp. 1360-1369, 2013.
    • (2013) IEEE Transactions on Intelligent Transportation Systems , vol.14 , Issue.3 , pp. 1360-1369
    • Gurcan, C.1    Anton, B.2
  • 40
    • 84937160624 scopus 로고    scopus 로고
    • A comparison of detrending models and multiregime models for traffic flow prediction
    • in press
    • Z. Li, Y. Li, L. Li, "A comparison of detrending models and multiregime models for traffic flow prediction," IEEE Intelligent Transportation Systems Magazine, in press.
    • IEEE Intelligent Transportation Systems Magazine
    • Li, Z.1    Li, Y.2    Li, L.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.