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, extende...
With rapid increase of number of vehicles on roads it is necessary to maintain close monitoring of t...
Real-time incident detection on freeways plays an important part in any modern traffic management op...
This paper describes joint work done by IBM Research (development of the solution) and GrandLyon (as...
The paper analyses the real-time detection of incidents in road traffic. A general model is presente...
Real-time models for automatic Incident Detection and Estimation of Incident Probabilities...
The high cost of congestion caused by incidents such as accidents, disabled vehicles, construction w...
Traffic incidents have negative impacts on traffic flow and the gross domestic product of most count...
In the trend toward civilization, transportation has always been considered asan indisputable aspect...
This paper presents a hybrid approach to automatic incident detection (AID) in transportation system...
AbstractThe prediction of traffic situations is a vital issue in modern Intelligent Transport System...
In this paper we discuss an approach to the detection of incidents on freeways. Our techniques are b...
Advances in real-time data collection, data storage and computational systems have led to developmen...
Developed in this paper is a traffic flow model parametrised to describe abnormal traffic behaviour....
Traffic incident detection is one of the major research areas of intelligent transportation systems ...
The increasing contribution of incidents to freeway congestion has generated strong interest in the ...
With rapid increase of number of vehicles on roads it is necessary to maintain close monitoring of t...
Real-time incident detection on freeways plays an important part in any modern traffic management op...
This paper describes joint work done by IBM Research (development of the solution) and GrandLyon (as...
The paper analyses the real-time detection of incidents in road traffic. A general model is presente...
Real-time models for automatic Incident Detection and Estimation of Incident Probabilities...
The high cost of congestion caused by incidents such as accidents, disabled vehicles, construction w...
Traffic incidents have negative impacts on traffic flow and the gross domestic product of most count...
In the trend toward civilization, transportation has always been considered asan indisputable aspect...
This paper presents a hybrid approach to automatic incident detection (AID) in transportation system...
AbstractThe prediction of traffic situations is a vital issue in modern Intelligent Transport System...
In this paper we discuss an approach to the detection of incidents on freeways. Our techniques are b...
Advances in real-time data collection, data storage and computational systems have led to developmen...
Developed in this paper is a traffic flow model parametrised to describe abnormal traffic behaviour....
Traffic incident detection is one of the major research areas of intelligent transportation systems ...
The increasing contribution of incidents to freeway congestion has generated strong interest in the ...
With rapid increase of number of vehicles on roads it is necessary to maintain close monitoring of t...
Real-time incident detection on freeways plays an important part in any modern traffic management op...
This paper describes joint work done by IBM Research (development of the solution) and GrandLyon (as...