LOSS Evaluation for Continuous Downgrades Segments Based on Accident Frequency Prediction

Yi Xuan Sun; Chun Fu Shao; Meng Meng; Song Shou Ouyang

doi:10.4028/www.scientific.net/AMM.505-506.1061

Paper Titles

Pedestrian Evacuation with a Improved Dynamic Parameters Model
p.1037

Foggy Image Enhancement Based on Filter Variable Multi-Scale Retinex
p.1041

Development and Evaluation of a Green Wave Control Algorithm Based on Two-Way Bandwidth Maximization for Transit Signal Priority
p.1046

Video Analysis of Conflict Situations and Parking Problem
p.1055

LOSS Evaluation for Continuous Downgrades Segments Based on Accident Frequency Prediction
p.1061

Reach on Value of Crash Reduction Factor (CRF) in Safeguard Technology of Mountainous Rural Highway
p.1067

A Hybrid Algorithm for the Multi-Objective Time Dependent Vehicle Routing Problem
p.1071

Research on Traffic Organization at the Access of Urban Tunnels
p.1076

The Analysis of Emergency Rescue System for Urban Road Traffic Accidents
p.1080

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 505-506LOSS Evaluation for Continuous Downgrades Segments...

LOSS Evaluation for Continuous Downgrades Segments Based on Accident Frequency Prediction

Abstract:

In order to evaluate traffic safety performance of continuous downgrades segment more accurately and quantitatively, a new safety evaluation method namely level of safety service (LOSS) is introduced. Based on the current traffic safety situation in China, the LOSS definition and classification method are studied systematically. In this paper, LOSS is built as a 5 levels framework and the graded threshold values are derived from accident frequency prediction models. The empirical research dataset includes 322 accidents data on a 15.27km continuous downgrades segment. The dataset is grouped into 16 fixed longitudinal grade sections to highlight the geometrical characteristics. Negative binomial model is best fitted among four candidate models, while the parameter estimation result indicates that geometrical factors, oversize vehicles mixed rate and average speed have significant positive effect on accident frequency. The overall LOSS of sample segment locates into the Level 3 interval, which means less safety performance than expected. As an extended application, LOSS specific to each fixed longitudinal grade section is analyzed.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 505-506)

Pages:

1061-1066

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.505-506.1061

Citation:

Cite this paper

Online since:

January 2014

Authors:

Yi Xuan Sun, Chun Fu Shao*, Meng Meng, Song Shou Ouyang

Keywords:

Accidents Frequency Prediction, Continuous Downgrades, Loss, Traffic Engineering

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

* - Corresponding Author

References

[1] J Kononov, B Allery: Transportation Research Record, n 1840(2003), pp.57-66.

Google Scholar

[2] Miaou S P. Accident Analysis and Prevention, 26 (4), p.471–482 . (1994).

Google Scholar

[3] Kim D. Accident Analysis and Prevention, 38(6), p.1094–1100, (2006).

Google Scholar

[4] Washington S P, Karlaftis M G, Mannering F L. Statistical and Econometric Methods for Transportation Data Analysis. Chapman Hall/CRC, Boca Raton, FL, (2003).

DOI: 10.1201/9780203497111

Google Scholar

[5] Shankar V N, Albin R B, Milton J C, Mannering F L. Transportation Research Record 1635, p.44–48, (1998).

Google Scholar

[6] Kim D G, Lee Y, Washington S, Choi K. Accident Analysis and Prevention 39 (1), p.125–134. (2007).

Google Scholar

[7] The Ministry of Public Security of the People's Republic of China. GA/T859-2010( 2010).

Google Scholar

[8] The Ministry of Public Security of the People's Republic of China. GA16. 1~16. 11(2010).

Google Scholar