Adaptive seasonal time series models for forecasting short-term traffic flow

Transportation Research Record

Volumn , Issue 2024, 2007, Pages 116-125

  Shekhar, Shashank ^a   Williams, Billy M ^b  

^a PARSONS BRINCKERHOFF   (United States)

^b North Carolina State University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE FILTERING; AUTOMATION; KALMAN FILTERS; MAINTENANCE; MATHEMATICAL MODELS; PARAMETER ESTIMATION; REAL TIME CONTROL; RECURSIVE FUNCTIONS; ROBUSTNESS (CONTROL SYSTEMS); TECHNOLOGICAL FORECASTING; TIME SERIES ANALYSIS;

FORECAST LOCATION; MODEL PARAMETERS; TRAFFIC FORECASTING;

STREET TRAFFIC CONTROL;

EID: 40449101916     PISSN: 03611981     EISSN: None     Source Type: Journal    
DOI: 10.3141/2024-14     Document Type: Article

References (11)

1. Introduction to Time Series and Forecasting. Brockwell P. J. 1996 10.1007/978-1-4757-2526-1
2. Modeling and Forecasting Vehicular Traffic Flow as a Seasonal Stochastic Time Series Process. Williams B. M. 1999
3. Transportation Research Part C Smith B. L. 303 10 2002 10.1016/S0968-090X(02)00009-8
4. Journal of Transportation Engineering Williams B. M. 664 129 6 2003 10.1061/(ASCE)0733-947X(2003)129:6(664)
5. Transportation Research Record 1644 Williams B. M. 132 1998
6. Recursive Methods for Forecasting Short-Term Traffic Flow Using Seasonal ARIMA Time Series Model. Shekhar S. 2004
7. Time Series Analysis: Forecasting and Control. Box G. E. P. 1976
8. Time Series Models Harvey A. C. 1993
9. Kalman Filtering Theory Balakrishnan A. V. 1987
10. Adaptive Filter Theory Haykin S. 2002
11. Journal of the American Statistical Association Chen C. 284 88 1993