Analyzing the uncertainty of simulation results in accident reconstruction with Response Surface Methodology

Zou, Tiefang; Cai, Ming; Du, Ronghua; Liu, Jike

doi:10.1016/j.forsciint.2011.08.016

Cited by 38 publications

(20 citation statements)

References 16 publications

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“…Monte Carlo method [9][10][11][12] is a highly efficient calculation method with the basic idea being treating the frequency of an event approximately as its probability. It can make some parameters of an event coincide with the values to be calculated by experientially summarized probability model; then help to get the estimated statistical numbers of such parameters after repeated imitation experiments; finally regards the estimated figures as the approximate target values.…”

Section: Introduction Of Monte Carlo Methodsmentioning

confidence: 99%

Properties of Monte Carlo and Its Application to Risk Management

Rui-mei¹

2015

IJUNESST

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Section: Introduction Of Monte Carlo Methodsmentioning

confidence: 99%

Properties of Monte Carlo and Its Application to Risk Management

Rui-mei¹

2015

IJUNESST

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“…al. [25] and McKay et.al. [11] are investigating the problem of analyzing and evaluating uncertainty.…”

Section: Introductionmentioning

confidence: 93%

Dealing with Uncertainties in Manufacturing Process Simulations

Ruediger

Hagen

2017

AMM

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Abstract. Uncertainty in manufacturing processes is as old as the manufacturing process itself. Simulations on the other hand are always certain in their outcome based on the chosen parameters. Nevertheless it makes sense to incorporate uncertainties in the simulation for validation and analysis of the real and simulated processes. This paper aims on highlighting the importance of an accurate understanding and measurement of uncertainty for simulation validation and thus to increase the significance and acceptance of simulation results in the working environment.

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“…Moreover, nowadays people are paying increasing attention to accidents, hence, situation of traffic safety of China is still quite serious [1] . In order to improve traffic safety, researchers both home and abroad have implemented many researches on this, putting forward several measures of improving traffic safety in different levels [2][3][4] .…”

Section: Introductionmentioning

confidence: 99%

An Analysis of Road Segment Traffic Safety Based on Accident Reconstruction

Yong-gang

Zou

2016

2016 Eighth International Conference on Measuring Technology and Mechatronics Automation (ICMTMA)

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In order to gain experience and lesson from accidents in a better way, basic steps of accident reconstruction and simulation method is put forward and an analytic method of road segment traffic safety is discussed. This method firstly establishes a road model of accident scene, then establishes an accident participant model (people, vehicle, road block, etc.), then conducts repeated simulations to ensure that simulation results can explain all measured traces on accident scene, and then based on effective simulation of the accident, continue to conduct simulations by changing conditions like people, vehicle, road, etc. in order to study traffic safety of this road segment. Finally, demonstrate steps of this method through a real accident case. The result shows that the analytic method for traffic safety of road segment based on accident reconstruction can intuitively analyze traffic safety problems of road segment on which the accident occurs.

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Analyzing the uncertainty of simulation results in accident reconstruction with Response Surface Methodology

Cited by 38 publications

References 16 publications

Properties of Monte Carlo and Its Application to Risk Management

Properties of Monte Carlo and Its Application to Risk Management

Dealing with Uncertainties in Manufacturing Process Simulations

An Analysis of Road Segment Traffic Safety Based on Accident Reconstruction

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