Title :
Research on Response System in Severe Weather Based on Pavement Management System
Author :
Jia Xiaoyang ; Zhu Di
Author_Institution :
Key Lab. of Road & Traffic Eng. of the Minist. of Educ., Tongji Univ., Shanghai
Abstract :
Weather change could have great effects on road transportation which may result in traffic accidents, road paralysis, etc. In order to guarantee the accessibility of road transportation in extreme weather, a pavement response system in severe weather should be established. In this paper, according to organizational-learning (OL) & Self-Adaptive (SA) system, Pavement Response System in Severe Weather (PRSSW) was built on the basis of pavement management system (PMS). Meanwhile, the logical framework of PRSSW was established. And this will strengthen the anti-disaster ability in PMS and provide theoretical support for PRSSW.
Keywords :
learning (artificial intelligence); road accidents; road safety; road traffic; traffic information systems; organizational-learning self-adaptive system; pavement management system; response system; road transportation; severe weather; Automation; Conference management; Cost function; Disaster management; Educational technology; Engineering management; Intelligent transportation systems; Project management; Road transportation; Technology management;
Conference_Titel :
Intelligent Computation Technology and Automation (ICICTA), 2008 International Conference on
Conference_Location :
Hunan
Print_ISBN :
978-0-7695-3357-5
DOI :
10.1109/ICICTA.2008.338
