Methods for analyzing the uncertainty of a reconstructed result in a traffic accident with interval and probabilistic traces Tiefang Zou, Xulong Peng,

Methods for analyzing the uncertainty of a reconstructed result in a traffic accident with interval and probabilistic traces Tiefang Zou, Xulong Peng, Wenguang Wu, Ming Cai Forensic Science International Volume 270, Pages (January 2017) DOI: /j.forsciint Copyright © 2016 Elsevier Ireland Ltd Terms and Conditions

Fig. 1 The flowchart of the probabilistic-interval method.
Forensic Science International , DOI: ( /j.forsciint ) Copyright © 2016 Elsevier Ireland Ltd Terms and Conditions

Fig. 2 Density functions of the upper and lower bound of y.

Fig. 3 Distribution functions of the upper and lower bound of y.

Fig. 4 The flowchart of the algorithm 1.

Fig. 5 Distribution functions of different methods.

Fig. 6 Distribution functions of the probabilistic-interval method in different number of times. Forensic Science International , DOI: ( /j.forsciint ) Copyright © 2016 Elsevier Ireland Ltd Terms and Conditions

Fig. 7 The flowchart of the improved probabilistic-interval method.

Fig. 8 Distribution functions of y obtained from different methods.

Fig. 9 Distribution functions of y in different number of times.

Fig. 10 Distribution functions of y obtained from different methods.

Fig. 11 Distribution functions of y in different number of times.

Fig. 12 The sketch of the accident scene.

Fig. 13 The deformation of the vehicle.

Fig. 14 The simulation result.

Fig. 15 Relative position of the vehicle and pedestrian.

Fig. 16 Relative position of the vehicle and pedestrian when t=0.075s.

Fig. 18 Distribution functions of v.

Methods for analyzing the uncertainty of a reconstructed result in a traffic accident with interval and probabilistic traces Tiefang Zou, Xulong Peng,

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Methods for analyzing the uncertainty of a reconstructed result in a traffic accident with interval and probabilistic traces Tiefang Zou, Xulong Peng,

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