Safety Prediction Models for Six-Lane and One-Way Urban and Suburban Arterials (2022) / Chapter Skim
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Pages 49-57
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49 CHAPTER 3. FRAMEWORK FOR SAFETY PREDICTION This chapter describes the proposed methodology for estimating the safety performance of six or more lanes and one-way urban and suburban arterials.
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50 ) exp( ititit εμθ = (118)
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51 Nbi = predicted number of total intersection-related crashes per year for base conditions. CMF1r CMF2r … CMFnr = CMFs for various road segment features (1, 2, …, n)
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52 procedure also has the advantage of overcoming the regression-to-the-mean (RTM) bias since the models and CMFs are estimated using cross-sectional data; RTM only affects before-after studies or repeated measurements.
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53 Expanding on the work of Jonsson et al.
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54 INTERACTION AMONG FACTOR EFFECTS The safety prediction methods in Part C of the HSM are formulated using multiplicative CMFs. This formulation assumes that the CMFs are independent of each other.
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55 𝑁 = predicted average crash frequency of an individual roadway segment (excluding vehicle-pedestrian and vehicle-bicycle collisions)
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57 Then the derivative of ( )
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