Development of the real-time evaluation and decision support system for incident management

2004 ◽  
Author(s):  
Mingwei Hu ◽  
HaoTang ◽  
Der-Horng Lee ◽  
Qixin Shi
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Real Time ◽  
Support System ◽  
Incident Management ◽  
The Real ◽  
Time Evaluation

scholarly journals Real-time Detection of Road Traffic Incidents

2012 ◽  
Vol 22 (4) ◽  
pp. 273-283 ◽  
Author(s):  
Pero Škorput ◽  
Sadko Mandžuka ◽  
Niko Jelušić
Keyword(s):  
Kalman Filter ◽  
Decision Support ◽  
Decision Support System ◽  
Real Time ◽  
Extended Kalman Filter ◽  
Support System ◽  
Management System ◽  
Road Traffic ◽  
Incident Management ◽  
Incident Detection

The paper analyses the real-time detection of incidents in road traffic. A general model is presented of an integral road traffic incident management system. The paper presents the major incident detection methods. The detection procedure on open highway sections has been dealt with in particular. Adequate mathematical model has been defined, as the base for the realisation of the estimators of the traffic flow condition variables. The proposed method is the Extended Kalman Filter. The final part of the paper deals with an example for the realisation of the Incident Management Decision Support System (IMDSS). KEY WORDS: intelligent transport system, incident management system, traffic model in the status space, theory of estimation, extended Kalman filter, automatic incident detection, decision support system

Networked Optimal Decision Support System for Cutting Parameters

2010 ◽  
Vol 439-440 ◽  
pp. 727-731
Author(s):  
Chun Ping Yan ◽  
Qing Hua Zhou ◽  
Qi Feng Wang ◽  
Fei Liu
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Real Time ◽  
Support System ◽  
Cutting Parameters ◽  
Cutting Process ◽  
System Structure ◽  
Optimal Decision ◽  
Process Knowledge ◽  
The Real

The real-time, the consistency and the accuracy of information transmission in cutting process are poor, and it is hard for manufacturing enterprises to enhance the machining efficiency and quality. Consequently, based on the real-time dynamic environment of cutting system and oriented to first-line production and operating workers, a networked optimal decision support system for cutting parameters was constructed; its system structure and function structure were described and its running mode was analyzed likewise. On the basis of research on the normative description of cutting process knowledge, an ontology-based description method of cutting process knowledge was proposed.

Planning Emergency Manoeuvres

2008 ◽  
Vol 62 (1) ◽  
pp. 79-91 ◽  
Author(s):  
Rafal Szlapczynski
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Real Time ◽  
Collision Avoidance ◽  
Support System ◽  
Visualization Tool ◽  
Collision Risk ◽  
The Real ◽  
Target Behaviour ◽  
Avoidance Manoeuvre

The paper addresses the issue of planning emergency manoeuvres and re-planning ship trajectories in case of unpredicted target behaviour. It introduces two methods. The first is responsible for monitoring other ships parameters, estimating the probability of illegal target behaviour and re-planning own trajectory in case of unpredicted events. The second is a visualization tool that enables the navigator to assess collision risk in an encounter situation and choose a collision avoidance manoeuvre if necessary. This tool is based on the Collision Threat Parameters Area display and offers new features: fuzzy sectors of forbidden speed and course values and the possibility to use any given ship domain. Both methods are fast enough to be applied in the real-time decision-support system.

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