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Title: Wavelet-Bayesian Hierarchical Stochastic Model for Short-Term Traffic Flow at Noncritical Junctions
Accession Number: 01099220
Record Type: Component
Availability: Transportation Research Board Business Office 500 Fifth Street, NW Abstract: In ITS (Intelligent Transportation System) equipped urban transportation systems non-critical junctions are often ignored in short-term traffic condition prediction algorithms as the traffic data collection systems in these junctions are not adequate. The paper proposes a short-term traffic volume model based on a combination of discrete wavelet transform (DWT) and Bayesian hierarchical methodology (BHM) applicable to non-critical junctions lacking continuous data collection systems. Unlike typical short-term traffic condition forecasting algorithms, large traffic flow datasets including information on current traffic scenarios are not required for the proposed model. In this model, a non-functional representation of the daily ‘trend’ of urban traffic flow observations is achieved using DWT while the fluctuations in the traffic flow in addition to the variations represented by the ‘trend’ are modeled as a stochastic process using BHM. The time-varying variance (within day) of these fluctuations over the ‘trend’ in urban traffic flow observations at a signalized intersection has been estimated in the model. The effectiveness and the accuracy of the model have been compared with a conventional short-term traffic flow forecasting time-series model based on Holt-Winters Exponential Smoothing (HWES) technique. Both the models are applied at two signalized intersections at the city-center of Dublin and their performances have been discussed.
Monograph Title: Monograph Accession #: 01084478
Report/Paper Numbers: 08-2190
Language: English
Corporate Authors: Transportation Research Board 500 Fifth Street, NW Authors: Ghosh, BidishaBasu, BiswajitO'Mahony, MargaretPagination: 18p
Publication Date: 2008
Conference:
Transportation Research Board 87th Annual Meeting
Location:
Washington DC, United States Media Type: DVD
Features: Figures; Maps; References
(23)
; Tables
(1)
TRT Terms: Uncontrolled Terms: Subject Areas: Administration and Management; Data and Information Technology; Highways; Operations and Traffic Management; Planning and Forecasting; I72: Traffic and Transport Planning
Source Data: Transportation Research Board Annual Meeting 2008 Paper #08-2190
Files: TRIS, TRB
Created Date: Jan 29 2008 4:32PM
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