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Volumn , Issue , 2013, Pages 1387-1393

Improving traffic prediction with tweet semantics

Author keywords

[No Author keywords available]

Indexed keywords

CRITICAL COMPONENT; ONLINE SOCIAL MEDIAS; OPTIMIZATION FRAMEWORK; TRAFFIC CONDITIONS; TRAFFIC MANAGEMENT; TRAFFIC PREDICTION; TRANSFORMATION MATRICES; TRANSPORTATION SYSTEM;

EID: 84896061078     PISSN: 10450823     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (100)

References (29)
  • 1
    • 0018729076 scopus 로고
    • Analysis of freeway traffic time-series data by using box-jenkins techniques
    • M. S. Ahmed and A. R. Cook. Analysis of freeway traffic time-series data by using box-jenkins techniques. Transportation Research Board, 722:1-9, 1979.
    • (1979) Transportation Research Board , vol.722 , pp. 1-9
    • Ahmed, M.S.1    Cook, A.R.2
  • 2
    • 84896062608 scopus 로고    scopus 로고
    • A new short-term traffic prediction and incident detection system on i-4, vol. I. Final research report
    • Department of Civil and Environmental Engineering, University of Central Florida
    • H. Al-Deek, S. Ishak, and M. Wang. A new short-term traffic prediction and incident detection system on i-4, vol. i. final research report. Technical report, Transportation Systems Institute(TSI), Department of Civil and Environmental Engineering, University of Central Florida, 2001.
    • (2001) Technical Report, Transportation Systems Institute(TSI)
    • Al-Deek, H.1    Ishak, S.2    Wang, M.3
  • 3
    • 80055063924 scopus 로고    scopus 로고
    • Twitter mood predicts the stock market
    • abs/1010.3003
    • Johan Bollen, Huina Mao, and Xiao- Jun Zeng. Twitter mood predicts the stock market. CoRR, abs/1010.3003, 2010.
    • (2010) CoRR
    • Bollen, J.1    Mao, H.2    Zeng, X.-J.3
  • 5
    • 0037336276 scopus 로고    scopus 로고
    • Traffic prediction using multivariate nonparametric regression
    • S. Clark. Traffic prediction using multivariate nonparametric regression. Journal of Transportation Engineering, 129:161-168, 2003.
    • (2003) Journal of Transportation Engineering , vol.129 , pp. 161-168
    • Clark, S.1
  • 6
    • 80053230843 scopus 로고    scopus 로고
    • A latent variable model for geographic lexical variation
    • Jacob Eisenstein, Brendan O'Connor, Noah A. Smith, and Eric P. Xing. A latent variable model for geographic lexical variation. In EMNLP, pages 1277-1287, 2010.
    • (2010) EMNLP , pp. 1277-1287
    • Eisenstein, J.1    O'connor, B.2    Smith, N.A.3    Xing, E.P.4
  • 7
    • 77950537175 scopus 로고    scopus 로고
    • Regularization paths for generalized linear models via coordinate descent
    • 2
    • J. H. Friedman, T. Hastie, and R. Tibshirani. Regularization paths for generalized linear models via coordinate descent. Journal of Statistical Software, 33(1):1-22, 2 2010.
    • (2010) Journal of Statistical Software , vol.33 , Issue.1 , pp. 1-22
    • Friedman, J.H.1    Hastie, T.2    Tibshirani, R.3
  • 9
    • 78651271213 scopus 로고    scopus 로고
    • Realtime short-term traffic speed level forecasting and uncertainty quantification using layered kalman fiters
    • J. Guo and B. M. Williams. Realtime short-term traffic speed level forecasting and uncertainty quantification using layered kalman fiters. Transportation Research Record, 2175:28-37, 2010.
    • (2010) Transportation Research Record , vol.2175 , pp. 28-37
    • Guo, J.1    Williams, B.M.2
  • 10
    • 67949085060 scopus 로고    scopus 로고
    • A novel forecasting approach inspired by human memory: The example of short-term traffic volume forecasting
    • S. Huang and A. W. Sadek. A novel forecasting approach inspired by human memory: The example of short-term traffic volume forecasting. Transportation Research Part C, 17:510-525, 2009.
    • (2009) Transportation Research Part C , vol.17 , pp. 510-525
    • Huang, S.1    Sadek, A.W.2
  • 11
    • 2142812984 scopus 로고    scopus 로고
    • Forecasting traffic flow conditions in an urban network: Comparison of multivariate and univariate approaches
    • Y. Kamarianakis and P. Prastacos. Forecasting traffic flow conditions in an urban network: comparison of multivariate and univariate approaches. Transportation Research Record, 1858:74- 84, 2003.
    • (2003) Transportation Research Record , vol.1858 , pp. 74-84
    • Kamarianakis, Y.1    Prastacos, P.2
  • 13
    • 0343274484 scopus 로고
    • On forecasting freeway occupancies and volumes
    • M. Levin and Y.-D. Tsao. On forecasting freeway occupancies and volumes. Transportation Research Record, 773:47-49, 1980.
    • (1980) Transportation Research Record , vol.773 , pp. 47-49
    • Levin, M.1    Tsao, Y.-D.2
  • 14
  • 15
    • 33750332104 scopus 로고
    • Whether weather matters to traffic demand, traffic safety, and traffic operations and flows
    • T.H. Maze, M. Agarwal, and G. Burchett. Whether weather matters to traffic demand, traffic safety, and traffic operations and flows. Transportation Research Record, 1948:170-176, 2006.
    • (1948) Transportation Research Record , pp. 170-176
    • Maze, T.H.1    Agarwal, M.2    Burchett, G.3
  • 16
    • 79952736659 scopus 로고    scopus 로고
    • Real-time road traffic prediction with spatio-temporal correlations
    • W. Min and L. Wynter. Real-time road traffic prediction with spatio-temporal correlations. Transportation Research Part C, 19:606-616, 2011.
    • (2011) Transportation Research Part C , vol.19 , pp. 606-616
    • Min, W.1    Wynter, L.2
  • 17
    • 0021375695 scopus 로고
    • Dynamic prediction of traffic volume through kalman filtering theory
    • I. Okutani and Y. J. Stephanedes. Dynamic prediction of traffic volume through kalman filtering theory. Transportation Research Part B, 18:1-11, 1984.
    • (1984) Transportation Research Part B , vol.18 , pp. 1-11
    • Okutani, I.1    Stephanedes, Y.J.2
  • 18
    • 80053272732 scopus 로고    scopus 로고
    • Streaming first story detection with application to twitter
    • Sasa Petrovic, Miles Osborne, and Victor Lavrenko. Streaming first story detection with application to twitter. In HLT-NAACL, pages 181-189, 2010.
    • (2010) HLT-NAACL , pp. 181-189
    • Petrovic, S.1    Osborne, M.2    Lavrenko, V.3
  • 19
    • 77954571408 scopus 로고    scopus 로고
    • Earthquake shakes twitter users: Real-time event detection by social sensors
    • Takeshi Sakaki, Makoto Okazaki, and Yutaka Matsuo. Earthquake shakes twitter users: real-time event detection by social sensors. In WWW, pages 851- 860, 2010.
    • (2010) WWW , pp. 851-860
    • Sakaki, T.1    Okazaki, M.2    Matsuo, Y.3
  • 21
    • 0030234980 scopus 로고    scopus 로고
    • Multiple-interval freeway traffic flow forecasting
    • B. L. Smith and M. J. Demetsky. Multiple-interval freeway traffic flow forecasting. Transportation Research Record, 1554:136-141, 1996.
    • (1996) Transportation Research Record , vol.1554 , pp. 136-141
    • Smith, B.L.1    Demetsky, M.J.2
  • 22
    • 0031472064 scopus 로고    scopus 로고
    • Traffic flow forecasting: Comparison of modelling approaches
    • B. L. Smith and M. J. Demetsky. Traffic flow forecasting: comparison of modelling approaches. Journal of Transportation Engineering, 123(4):261-266, 1997.
    • (1997) Journal of Transportation Engineering , vol.123 , Issue.4 , pp. 261-266
    • Smith, B.L.1    Demetsky, M.J.2
  • 23
    • 0036692982 scopus 로고    scopus 로고
    • Comparison of parametric and nonparametric models for traffic flow forecasting
    • B. L. Smith, B. M. Williams, and R. K. Oswalsd. Comparison of parametric and nonparametric models for traffic flow forecasting. Transportation Research Part C, 10:303-321, 2002.
    • (2002) Transportation Research Part C , vol.10 , pp. 303-321
    • Smith, B.L.1    Williams, B.M.2    Oswalsd, R.K.3
  • 24
    • 77956025040 scopus 로고    scopus 로고
    • Short text classification in twitter to improve information filtering
    • Bharath Sriram, Dave Fuhry, Engin Demir, Hakan Ferhatosmanoglu, and Murat Demirbas. Short text classification in twitter to improve information filtering. In SIGIR, pages 841-842, 2010.
    • (2010) SIGIR , pp. 841-842
    • Sriram, B.1    Fuhry, D.2    Demir, E.3    Ferhatosmanoglu, H.4    Demirbas, M.5
  • 25
    • 33646762818 scopus 로고    scopus 로고
    • Accurate freeway travel time prediction with state-space neural networks under missing data
    • J. van Lint, S. Hoogendoorn, and H. van Zuylen. Accurate freeway travel time prediction with state-space neural networks under missing data. Transportation Research Part C, 13:347-369, 2005.
    • (2005) Transportation Research Part C , vol.13 , pp. 347-369
    • Van Lint, J.1    Hoogendoorn, S.2    Van Zuylen, H.3
  • 26
    • 23844513726 scopus 로고    scopus 로고
    • Optimized and meta-optimized neural networks for short-term traffic flow prediction: A genetic approach
    • E. Vlahogianni, M. G. Karlaftis, and J. C. Golias. Optimized and meta-optimized neural networks for short-term traffic flow prediction: A genetic approach. Transportation Research Part C, 13:211-234, 2005.
    • (2005) Transportation Research Part C , vol.13 , pp. 211-234
    • Vlahogianni, E.1    Karlaftis, M.G.2    Golias, J.C.3
  • 28
    • 0032207514 scopus 로고    scopus 로고
    • Urban traffic flow prediction: Application of seasonal autoregressive integrated moving average and exponential smoothing models
    • B. M. Williams, P.K. Durvasula, and D. E. Brown. Urban traffic flow prediction: application of seasonal autoregressive integrated moving average and exponential smoothing models. Transportation Research Record, 1644:132-144, 1998.
    • (1998) Transportation Research Record , vol.1644 , pp. 132-144
    • Williams, B.M.1    Durvasula, P.K.2    Brown, D.E.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.