Please use this identifier to cite or link to this item:
|Title:||Empirical evaluation of alternative approaches in identifying crash hot spots||Authors:||Huang, H.
|Issue Date:||2009||Citation:||Huang, H., Chin, H.C., Haque, M. (2009). Empirical evaluation of alternative approaches in identifying crash hot spots. Transportation Research Record (2103) : 32-41. ScholarBank@NUS Repository. https://doi.org/10.3141/2103-05||Abstract:||This study proposes a framework of a model-based hot spot identification method by applying full Bayes (FB) technique. In comparison with the state-of-the-art approach [i.e., empirical Bayes method (EB)], the advantage of the FB method is the capability to seamlessly integrate prior information and all available data into posterior distributions on which various ranking criteria could be based. With intersection crash data collected in Singapore, an empirical analysis was conducted to evaluate the following six approaches for hot spot identification: (a) naive ranking using raw crash data, (b) standard EB ranking, (c) FB ranking using a Poisson-gamma model, (d) FB ranking using a Poisson-lognormal model, (e) FB ranking using a hierarchical Poisson model, and (f) FB ranking using a hierarchical Poisson (AR-1) model. The results show that (a) when using the expected crash rate-related decision parameters, all model-based approaches perform significantly better in safety ranking than does the naive ranking method, and (b) the FB approach using hierarchical models significantly outperforms the standard EB approach in correctly identifying hazardous sites.||Source Title:||Transportation Research Record||URI:||http://scholarbank.nus.edu.sg/handle/10635/65527||ISSN:||03611981||DOI:||10.3141/2103-05|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Aug 14, 2020
WEB OF SCIENCETM
checked on Aug 5, 2020
checked on Aug 3, 2020
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.