Corpus ID: 237513526

Risk Measurement, Risk Entropy, and Autonomous Driving Risk Modeling

@article{Yu2021RiskMR,
  title={Risk Measurement, Risk Entropy, and Autonomous Driving Risk Modeling},
  author={Jiamin Yu},
  journal={ArXiv},
  year={2021},
  volume={abs/2109.07211}
}
  • Jiamin Yu
  • Published 15 September 2021
  • Computer Science, Economics
  • ArXiv
It has been for a long time to use big data of autonomous vehicles for perception, prediction, planning, and control of driving. Naturally, it is increasingly questioned why not using these big data for risk management and actuarial modeling. This article examines the emerging technical difficulties, new ideas, and methods of risk modeling under autonomous driving scenarios. This paper first discusses the changes in risk modeling under autonomous driving scenarios. By information theory, a… Expand

Figures and Tables from this paper

References

SHOWING 1-10 OF 18 REFERENCES
Possible aggregation biases in road safety research and a mechanism approach to accident modeling.
  • G. Davis
  • Engineering, Medicine
  • Accident; analysis and prevention
  • 2004
TLDR
Here, a simple deterministic model of a vehicle/pedestrian encounter is used to illustrate how naïvely applying statistical methods to aggregated data could lead to an ecological fallacy and to Simpson's paradox. Expand
Driver behavior in car-to-pedestrian incidents: An application of the Driving Reliability and Error Analysis Method (DREAM).
TLDR
Analysis of video-recordings of car-to-pedestrian incidents captured by onboard cameras in a naturalistic driving study in Japan indicates that an interactive advanced driver assistance system able to redirect the driver's attention could have averted many of the intersection incidents, while autonomous systems may be needed away from intersections. Expand
The Development of a Time-Related Measure to Describe Driving Strategy
A preview prediction model is used to describe the potential role of a fixed control strategy in automobile driving. On the basis of this model the time-to-line-crossing (TLC) concept was developed,Expand
A comparison of different ways to approximate time-to-line crossing (TLC) during car driving.
TLDR
Three experiments are presented in which the accuracy of different methods to approximate time-to-line crossing is assessed and it was found that prior to crossing thelane boundary, the simple approximation resulted in more accurate estimation of available time before the lane boundary is exceeded compared to the more complex approximation. Expand
NEAR-MISS DETERMINATION THROUGH USE OF A SCALE OF DANGER
NEAR-MISS TRAFFIC EVENTS HAVE BEEN CONSIDERED BUT NOT ADOPTED AS A TRAFFIC SAFETY TOOL BECAUSE OF THE HIGH DEGREE OF SUBJECTIVITY INVOLED WITH THEIR IDENTIFICATION. A SCALE OF DANGER MAY BE APPLIEDExpand
Do Calculated Conflicts in Microsimulation Model Predict Number of Crashes?
TLDR
A microsimulation model and its calculations are described, and the results that are subsequently used to determine indicators for traffic safety are presented, showing a quantitative relationship between the number of conflicts at priority junctions and the numberof passing motor vehicles on one hand and theNumber of observed crashes on the other hand. Expand
The 100-Car Naturalistic Driving Study Phase II – Results of the 100-Car Field Experiment
The "100-Car Naturalistic Driving Study" is a three-phased effort designed to accomplish three objectives: Phase I, Conduct Test Planning Activities; Phase II, Conduct a Field Test; and Phase III,Expand
ON DETERMINISTIC DEVELOPMENTS OF TRAFFIC STREAM MODELS
TLDR
It is suggested that an approach to traffic stream models via kinetic models possibly would be more appropriate and useful. Expand
Theoretical Impediments to Machine Learning With Seven Sparks from the Causal Revolution
  • J. Pearl
  • Computer Science, Mathematics
  • WSDM
  • 2018
TLDR
This paper presents a summary of seven tasks which are beyond reach of current machine learning systems and which have been accomplished using the tools of causal inference, to demonstrate the essential role of such models. Expand
A Student's Guide to Coding and Information Theory
TLDR
This easy-to-read guide provides a concise introduction to the engineering background of modern communication systems, from mobile phones to data compression and storage, using practical applications to illustrate theoretical definitions. Expand
...
1
2
...