A clusterwise regression approach for the estimation of crash frequencies. Issue 3 (4th March 2021)
- Record Type:
- Journal Article
- Title:
- A clusterwise regression approach for the estimation of crash frequencies. Issue 3 (4th March 2021)
- Main Title:
- A clusterwise regression approach for the estimation of crash frequencies
- Authors:
- Veeramisti, Naveen
Paz, Alexander
Khadka, Mukesh
Arteaga, Cristian - Abstract:
- Abstract: In the current literature, data is aggregated for the estimation of functions to explain or predict crash patterns using either clustering analysis, regression analysis, or stage-wise models. Typically, analysis sites are grouped into site subtypes based on predefined characteristics. The assumption is that sites within each subtype experience similar crash patterns as a function of prespecified explanatory characteristics. To develop functions to estimate crashes, all data points are clustered only as a function of associated site characteristics. As a consequence, estimated parameters may be based on different crash patterns that represents various trends that could be better captured by using multiple functions. To address this limitation, this study proposes a mathematical program utilizing clusterwise regression to assign sites to clusters and simultaneously seek sets of parameter values for the corresponding estimation functions, so as to maximize the probability of observing the available data. A simulated annealing, coupled with maximum likelihood estimation, was used to solve the mathematical program. Results were analyzed for two site subtypes with fatal and all injury crashes: (1) roadway segments for urban multilane divided segments and (2) urban four-leg signalized intersections. Clusterwise regression improved the predicted number of crashes with multiple estimation functions within the same site subtype.
- Is Part Of:
- Journal of transportation safety & security. Volume 13:Issue 3(2021)
- Journal:
- Journal of transportation safety & security
- Issue:
- Volume 13:Issue 3(2021)
- Issue Display:
- Volume 13, Issue 3 (2021)
- Year:
- 2021
- Volume:
- 13
- Issue:
- 3
- Issue Sort Value:
- 2021-0013-0003-0000
- Page Start:
- 247
- Page End:
- 277
- Publication Date:
- 2021-03-04
- Subjects:
- clusterwise regression -- negative multinomial -- log-likelihood -- traffic safety -- network screening -- crash frequency -- accident prediction model
Transportation -- United States -- Safety measures -- Periodicals
Transportation -- Security measures -- United States -- Periodicals
Transportation -- Safety measures
Transportation -- Security measures
United States
Periodicals
353.9805 - Journal URLs:
- http://www.tandf.co.uk/journals/titles/19439962.asp ↗
http://www.tandfonline.com/loi/utss20#.Vl24Q1Inyic ↗
http://www.tandfonline.com/ ↗ - DOI:
- 10.1080/19439962.2019.1611681 ↗
- Languages:
- English
- ISSNs:
- 1943-9970
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 22786.xml