A novel approach to collision hotspot identification accounting for regression to the mean and trend

A novel approach to collision hotspot identification accounting for regression to the mean and trend

<p dir="ltr">This research considers a Bayesian analysis of crash data in an attempt to predict, from a group of potential collision hotspot sites, which of these sites could benefit from treatment with a road safety scheme. Intrinsic to the analysis is the identification of trend an...

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Bibliographic Details
Main Author: Timo Hoffmann (10888739) (author)
Other Authors: Lee Fawcett (19774536) (author), Neil Thorpe (19774539) (author), Fabio Galatioto (19774542) (author), Karsten Kremer (19774545) (author), Ane Münch (19774548) (author), Peter Slater (9260498) (author)
Published: 2015
Subjects:
Commerce, management, tourism and services
Transportation, logistics and supply chains
Mathematical sciences
Statistics
Bayesian Analysis
Crash Data
Collision Hotspots Road
Safety Scheme
Time Series Analysis
Predictive Distribution
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