Forecasting spatiotemporal impact of traffic incidents for next-generation navigation systems-Reference-Cited by-同舟云学术

Forecasting spatiotemporal impact of traffic incidents for next-generation navigation systems

Published:2014-09-09 Issue:1 Volume:45 Page:75-104
ISSN:0219-1377
Container-title:Knowledge and Information Systems
language:en
Short-container-title:Knowl Inf Syst

Author:

Pan Bei,Demiryurek Ugur,Gupta Chetan,Shahabi Cyrus

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Hardware and Architecture,Human-Computer Interaction,Information Systems,Software

Link

http://link.springer.com/content/pdf/10.1007/s10115-014-0783-6.pdf

Reference27 articles.

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2. Boyles S, Fajardo D,Waller ST (2007) Naive bayesian classifier for incident duration prediction. In: Proceedings of the transportation research board 86th annual meeting. http://trid.trb.org/view.aspx?id=801877

3. Cheng H, Tan PN, Gao J, Scripps J (2006) Multistep-ahead time series prediction. In: Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD)

4. Chung Y, Recker WW (2012) A methodological approach for estimating temporal and spatial extent of delays caused by freeway accidents. IEEE Trans Intell Transp Syst 13(3):1454–1461

5. Daganzo CF (1994) The cell transmission model: a dynamic representation of highway traffic consistent with the hydrodynamic theory. Transp Res Part B Methodol 28:269–287

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