The assessment of risk related to car crashes in road networks is a topic relevant for both social impact as well as for the related political/administrative decisions. By means of Monte Carlo simulation we study the performance of different models aimed at evaluating the number of crash occurrences that can be expected at each road street segment level in a network of streets in a certain time window.
Cantaluppi, G., Giardino, G., Zappa, D., A comparison of geospatial models for car crash risk, in Andrea Bucci, A. C. A. E. A. M. (ed.), 11th Scientific Meeting of the SIS Group "Statistics for the Evaluation and Quality in Services" BOOK OF SHORT PAPERS, il Viandante, Chieti (Italia). 2023: 464- 469 [https://hdl.handle.net/10807/246935]
A comparison of geospatial models for car crash risk
Cantaluppi, Gabriele
;Zappa, Diego
2023
Abstract
The assessment of risk related to car crashes in road networks is a topic relevant for both social impact as well as for the related political/administrative decisions. By means of Monte Carlo simulation we study the performance of different models aimed at evaluating the number of crash occurrences that can be expected at each road street segment level in a network of streets in a certain time window.
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