Proceedings of the 2016 International Conference on Civil, Structure and Environmental Engineering

Estimating Suitable Probability Distribution Function of Risk for Different Traffic States

Authors
Qian Li
Corresponding Author
Qian Li
Available Online April 2016.
DOI
10.2991/i3csee-16.2016.10How to use a DOI?
Keywords
Time to collision; MLE; Normal distribution; Generalized estreme value distribution; Chi-squared test
Abstract

Generally, time to collision TTC is used to quantify traffic risk. In this paper, we aimed at studying suitable probability distribution of TTC under different traffic states. By using maximum likelihood estimation(MLE), the parameters of different states are found. Normal distribution and generalized extreme value distribution are used to assume probability distribution function,and chi-squared test is used to test the results. It is found that the normal distribution is more suitable for the data.

Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

Volume Title
Proceedings of the 2016 International Conference on Civil, Structure and Environmental Engineering
Series
Advances in Engineering Research
Publication Date
April 2016
ISBN
10.2991/i3csee-16.2016.10
ISSN
2352-5401
DOI
10.2991/i3csee-16.2016.10How to use a DOI?
Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Qian Li
PY  - 2016/04
DA  - 2016/04
TI  - Estimating Suitable Probability Distribution Function of Risk for Different Traffic States
BT  - Proceedings of the 2016 International Conference on Civil, Structure and Environmental Engineering
PB  - Atlantis Press
SP  - 51
EP  - 55
SN  - 2352-5401
UR  - https://doi.org/10.2991/i3csee-16.2016.10
DO  - 10.2991/i3csee-16.2016.10
ID  - Li2016/04
ER  -