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Kernel Density Estimation Of Traffic Accidents In A Network Space, Zhixiao Xie, Jun Yan
Kernel Density Estimation Of Traffic Accidents In A Network Space, Zhixiao Xie, Jun Yan
Dr Jun Yan
A standard planar Kernel Density Estimation (KDE) aims to produce a smooth density surface of spatial point events over a 2-D geographic space. However, the planar KDE may not be suited for characterizing certain point events, such as traffic accidents, which usually occur inside a 1-D linear space, the roadway network. This paper presents a novel network KDE approach to estimating the density of such spatial point events. One key feature of the new approach is that the network space is represented with basic linear units of equal network length, termed lixel (linear pixel), and related network topology. The use …