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Analysis of Roadway Traffic Accidents Based on Rough Sets and Bayesian Networks

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Figure

Table 2 – Correlation analysis and mutual information analysis results for accident type (ACT)
Table  4   summarizes  and  compares  the  values  of  performance indicators including accuracy, ACPE, and  AUC for the baseline BNs and RS-based BNs (the  indi-cator values for each RS subset are shown in  Figure 1 )
Figure  2   shows  that  among  all  the  selected  attri- attri-butes from RS, seatbelt use, highest secondary task  rank,  and  land  use  are  the  ones  that  are  not   direct-ly  related  to  accident  type  but  with  indirect   influenc-es  (having
Table  6   shows  that  pre-crash  manoeuvre,  driver’s  attention from forward roadway to centre mirror,  num-ber  of  secondary  tasks  undertaken,  traffic  density,  and relation to junction are significant attributes that  directly  relate  to  accide

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