Development of Crash Prediction Models for Urban Road Segments Using Poisson Inverse Gaussian Regression-Reference-Cited by-同舟云学术

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Development of Crash Prediction Models for Urban Road Segments Using Poisson Inverse Gaussian Regression

Published:2022-08-31 Issue: Volume: Page:
ISSN:
Container-title:International Conference on Transportation and Development 2022
language:
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Author:

Khattak Muhammad Wisal¹²²³⁴,De Backer Hans¹²²³⁴,De Winne Pieter¹²²³⁴,Brijs Tom¹²²³⁴,Pirdavani Ali¹²²³⁴

Affiliation:

1. Dept. of Civil Engineering, UGent, Zwijnaarde, Belgium; Transportation Research Institute (IMOB), UHasselt, Diepenbeek, Belgium.

2. Dept. of Civil Engineering, UGent, Zwijnaarde, Belgium.

3. Transportation Research Institute (IMOB), UHasselt, Diepenbeek, Belgium.

4. Faculty of Engineering Technology, Transportation Research Institute (IMOB), UHasselt, Diepenbeek, Belgium.

Publisher

American Society of Civil Engineers

Link

https://ascelibrary.org/doi/pdf/10.1061/9780784484333.010

Reference38 articles.

1. Andreß, H.-J., Golsch, K., and Schmidt, A. W. (2013). Applied Panel Data Analysis for Economic and Social Surveys. Springer Science & Business Media.

2. Comparison of confidence and prediction intervals for different mixed-Poisson regression models.;Ash J. E.;Journal of Transportation Safety & Security,2021

3. A crash-prediction model for multilane roads.;Caliendo C.;Accident Analysis & Prevention,2007

4. Cameron, A. C., and Trivedi, P. K. (2013). Regression Analysis of Count Data. Econometric Society Monographs, Cambridge University Press, Cambridge.

5. Modeling safety of highway work zones with random parameters and random effects models

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