DocumentCode
329736
Title
Validation of WAIMSS incident duration estimation model
Author
Wu, Wei ; Kachroo, Pushkin ; Özbay, Kaan
Author_Institution
Center for Transp. Res., Virginia Polytech. Inst. & State Univ., Blacksburg, VA, USA
Volume
4
fYear
1998
fDate
11-14 Oct 1998
Firstpage
3234
Abstract
This paper presents an effort to validate the traffic incident duration estimation model of WAIMSS (wide area incident management support system). Duration estimation model of WAIMSS predicts the incident duration based on an estimation tree which was calibrated using incident data collected in Northern Virginia. Due to the limited sample size, a full scale test of the distribution, mean and variance of incident duration was performed only for the root node of the estimation tree, white only mean tests were executed at all other nodes whenever a data subset was available. Further studies were also conducted on the model error and tree structure issues especially related to complex incidents. The statistical analyses in general, strongly supported WAIMSS estimations of incident duration distribution, mean and variance. The error analysis provided encouraging results based on the distribution of estimation errors and estimation error percentages. A major structural deficiency of the current model was also revealed
Keywords
error analysis; estimation theory; road traffic; statistical analysis; traffic control; trees (mathematics); Northern Virginia; WAIMSS model; duration estimation model; error analysis; road traffic; statistical analysis; traffic incident; tree structure; wide area incident management support system; Calibration; Data analysis; Estimation error; Performance evaluation; Power system management; Predictive models; Statistical analysis; Testing; Traffic control; Transportation;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems, Man, and Cybernetics, 1998. 1998 IEEE International Conference on
Conference_Location
San Diego, CA
ISSN
1062-922X
Print_ISBN
0-7803-4778-1
Type
conf
DOI
10.1109/ICSMC.1998.726501
Filename
726501
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