Operation Safety and Emergency Disposal Decision-Making under Disastrous Conditions of Highway

Hua Zhi Yuan; Jing Liu; Yue Jie Han; Ying Yan; Hao Chen

doi:10.4028/www.scientific.net/AMM.198-199.1012

Paper Titles

Virtual Instrument Measurement System Architecture Design Based on Database Management
p.989

Stability Margin Clearance of Missile Autopilot Using μ Anylysis
p.995

Evolution Description of Service View within C⁴ISR Architecture Framework
p.1001

Research on the Equipment Overhaul Management System
p.1006

Operation Safety and Emergency Disposal Decision-Making under Disastrous Conditions of Highway
p.1012

Correction of World Coordinate Error in the Three-Dimensional Laser Scanning System of Human Body
p.1016

On Aero Control Law Joined Compensatory PID for Glide down to Fixed Low Altitude System and Simulation Researches
p.1021

An Evolutionary Method of Traditional Artificial Potential Field
p.1025

Design and Realization of Equipment Management System Based on J2EE and Android OS
p.1030

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 198-199Operation Safety and Emergency Disposal...

Operation Safety and Emergency Disposal Decision-Making under Disastrous Conditions of Highway

Abstract:

In order to improve the operation safety under disastrous conditions of highway, the classification of highway catastrophic conditions was analyzed. And then the operation safety management and the kinds of countermeasure and foundation of decision-making for emergency disposal against disastrous conditions of freeway were put forward.

You might also be interested in these eBooks

Applied Mechanics, Mechatronics Automation & System Simulation

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 198-199)

Pages:

1012-1015

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.198-199.1012

Citation:

Cite this paper

Online since:

September 2012

Authors:

Hua Zhi Yuan, Jing Liu, Yue Jie Han, Ying Yan, Hao Chen

Keywords:

Disastrous Conditions, Emergency Disposal, Highway

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] Kimbrough, Scott. Monte Carlo analysis of safe following distances under different road conditions. American Society of Mechanical Engineers, Design Engineering Division (Publication) DE, v116, n1, pp.81-87, 2003, Proceedings of the ASME Design Engineering Division-(2003).

DOI: 10.1115/imece2003-42865

Google Scholar

[2] Swain, Nikunja K. A survey of application of fuzzy logic in Intelligent Transportation Systems (ITS) and rural ITS.: Conference Proceedings-IEEE SOUTHEASTCON, v 2006, pp.85-90, 2006, Proceedings of the IEEE Southeast Con (2006).

DOI: 10.1109/second.2006.1629329

Google Scholar

[3] Abdel-Aty, Mohamed A., Pemmanaboina, Rajashekar. Calibrating a real-time traffic crash-prediction model using archived weather and ITS traffic data. IEEE Transactions on Intelligent Transportation Systems, v7, n2, pp.167-174, June 2006 ATMIS.

DOI: 10.1109/tits.2006.874710

Google Scholar

[4] Pei Yulong, Cheng Guozhu. Research on the relationship between discrete character of speed and traffic accident and speed management of freeway[J]. China Journal of Highway and Transport. 2004(1), 74-78(in Chinese).

Google Scholar

[5] Guo Zhongyin, Fang Shou'en. Road Safety Engineering[M]. Beijing: China Communication Press, 2002, 339-372(in Chinese).

Google Scholar

[6] FHWA Road Weather Management Program, Weather Impacts on Roads. Traffic and Operational Decisions, May (2004).

Google Scholar

[7] Salvatore Cafiso, Ruediger Lamm, Grazia La Cava. Fuzzy model for safety evaluation process of new and old roads[M]. Transportation Research Record, n1881, pp.54-62, (2004).

DOI: 10.3141/1881-07

Google Scholar

[8] Wang Xiaofei. Research on Operation Safety Management and Emergency Disposal against Disastrous Conditions of Freeway Corridor[D]. School of Transportation Engineering, Tongji University, (2008).

Google Scholar

[9] Liu Anye, Wang Yaowu, Zhang Lei. New method for identifying road traffic accident-prone locations based on BP neural net-work[J]. China Civil Engineering Journal, 2008(6), 108-111(in Chinese).

Google Scholar