Forecasting accident frequency of an urban road network: A comparison of four artificial neural network techniques-Reference-Cited by-同舟云学术

Forecasting accident frequency of an urban road network: A comparison of four artificial neural network techniques

Published:2018-08-09 Issue:7 Volume:37 Page:767-780
ISSN:0277-6693
Container-title:Journal of Forecasting
language:en
Short-container-title:Journal of Forecasting

Author:

Behbahani Hamid¹,Amiri Amir Mohamadian²^ORCID,Imaninasab Reza³,Alizamir Meysam⁴

Affiliation:

1. Department of Civil Engineering; Iran University of Science and Technology; Tehran Iran

2. Department of Highway Engineering; Iran University of Science and Technology; Tehran Iran

3. Department of Highway Engineering, Lyles School of Civil Engineering; Purdue University; West Lafayette IN USA

4. Young Researchers and Elite Club; Islamic Azad University; Hamedan Iran

Publisher

Wiley

Subject

Management Science and Operations Research,Statistics, Probability and Uncertainty,Strategy and Management,Computer Science Applications,Modeling and Simulation

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/for.2542/fullpdf

Reference27 articles.

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3. Development of artificial neural network models to predict driver injury severity in traffic accidents at signalized intersections;Abdelwahab;Transportation Research Record,2001

4. An artificial intelligence approach to traffic accident estimation: Model development and application;Akgüngör;Transport,2009

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