TY - JOUR PY - 2005// TI - An approach-based crash analysis and appraisal model for safety design and management JO - Journal of the Eastern Asia Society for Transportation Studies A1 - Wei, KY A1 - Hwang, Kevin P. SP - 3713 EP - 3727 VL - 6 IS - N2 - This research focuses on examining the interacting relationship between vehicle crashes and road engineering factors. The back-propagation artificial neural network (BPN) method with feed-forward structure is used to develop the model. Each intersection is decomposed into several approach sets to establish the proposed microscopic relationship with vehicle crashes. A total of 1,225 records at 69 primary/secondary intersections in Tainan, Taiwan, were used to calibrate the bi-level models of 11 crash types. First is a distinguish model to tell if an approach set will have crash; the second is a prediction model to forecast crash numbers by type for each approach set. Error rates for all distinguish models are under 15% with an average of 6.1%. Error rates for all prediction models are under 25% with an average of 6.7%. An overall RMS is 0.1617. Practical field test also proves model's validity.

LA - SN - 1341-8521 UR - http://dx.doi.org/ ID - ref1 ER -