Skip to main content

Currently Skimming:


Pages 78-89

The Chapter Skim interface presents what we've algorithmically identified as the most significant single chunk of text within every page in the chapter.
Select key terms on the right to highlight them within pages of the chapter.


From page 78...
... 78 Outline of a Causal Theory of Traffic Conflicts and Collisions Gary A Davis, John Hourdos, and Hui Xiong Department of Civil Engineering, Minnesota Traffic Observatory, University of Minnesota Using recent developments in causal analysis, a minimal model capable of rigorously representing traffic conflicts and crashes is constructed.
From page 79...
... 79 Hayward (1972) introduced the use of time to collision (TTC)
From page 80...
... 80 and combinations of TTC versus RR were used to define boundaries between near­crash and conflict situations. Since range rate can also be interpreted as closing speed (CS)
From page 81...
... 81 how these formal results might be applied to actual crash and near­crash events. Causal Model of Crashes and Conflicts Our starting point is Pearl's (2000)
From page 82...
... 82 The distance separating the major approach from the col­ lision point at this time is y u x y v t r t y v t a t r, ˆ , ˆ ˆ ˆ( )
From page 83...
... 83 Here the notation P(Uj) has been used as shorthand for P(u∈Uj)
From page 84...
... 84 This ratio will tend to be large for subsets where the minimum successful evasive action comes from the right­hand tail of the distribution of evasive actions. That is, other things being equal, crashes should tend to have extreme values of the eva­ sive action, and this is what Figure C.4 shows.
From page 85...
... 85 0 0.2 0.4 0.6 0.8 1 0 0.2 0.4 0.6 0.8 1 crash 1 crash 2 crash 3 slope=1 line 1.0 0 A2g 1 A10g 1 A13g 1 Aeq 1 1.00 Amin2g 1 Amin10g 1, Amin13g 1, Aeq 2, Figure C.4. Minimum versus observed decelerations (in g units)
From page 86...
... 86 In this paper, we postulated a minimal theoretical structure that incorporates crashes, near crashes, and conflicts; defined rigorously what we mean by a surrogate event; and then derived a relationship between crash propensity and the sur­ rogate. Our treatment produced a natural, one­dimensional method for grading the severity of noncrash events in terms of their minimum successful evasive actions.
From page 87...
... 87 Hauer, E
From page 88...
... 88 P y yc y u x P x x u P u y u i j j n i j i i<( )
From page 89...
... 89 and since ˆ , ˆ , , , , , y u x y u x if u U k j if u U k j j k k − ( )

Key Terms



This material may be derived from roughly machine-read images, and so is provided only to facilitate research.
More information on Chapter Skim is available.