Deterministic-timed Petri nets (DTPNs) are adopted in this paper in order to microscopically model a signalized urban area. The proposed representation may be viewed, at a higher level, as composed of modules which interact by means of immediate (that is, non-timed) transitions. Such a representation allows two levels of traffic control: the high level switches between different internal structures of the modules, in order to modify the model of the traffic system according to the system state, whereas the low level optimizes the performances of the traffic system by solving a mathematical programming problem which minimizes the number of vehicles in the system
Traffic systems are discrete systems that can be heavily populated. One way of overcoming the state ...
Timed Petri nets are considered in this paper, with the aim of providing an efficient tool for the m...
In this preliminary paper the simulation of an efficient hybrid model is presented to predict the be...
Urban signalized traffic areas are considered in this paper, with the aim of minimizing congestion s...
A microscopic model of signalized urban areas and its representation by means of stochastic-timed Pe...
In this paper a new model for urban traffic control is presented. An urban area, composed of element...
Traffic flow at urban intersections varies randomly during the day. It depends on several dynamic fa...
This paper deals with modelling of traffic networks for control purposes. A modular framework based ...
The problem of reducing congestion within urban areas by means of a traffic-responsive control strat...
Significant classes of transportation systems can be represented by Petri net models. In this paper,...
Significant classes of transportation systems can be represented by Petri net models. In this paper,...
Abstract — The paper proposes a model for real time control of urban traffic networks. A modular fra...
International audienceTraffic flow is a hybrid system which is characterized by two major behaviors:...
An urban network of signalized intersections can be suitably modeled as a hybrid system, in which th...
Control in urban traffic networks constitutes an important and challenging research topic nowadays. ...
Traffic systems are discrete systems that can be heavily populated. One way of overcoming the state ...
Timed Petri nets are considered in this paper, with the aim of providing an efficient tool for the m...
In this preliminary paper the simulation of an efficient hybrid model is presented to predict the be...
Urban signalized traffic areas are considered in this paper, with the aim of minimizing congestion s...
A microscopic model of signalized urban areas and its representation by means of stochastic-timed Pe...
In this paper a new model for urban traffic control is presented. An urban area, composed of element...
Traffic flow at urban intersections varies randomly during the day. It depends on several dynamic fa...
This paper deals with modelling of traffic networks for control purposes. A modular framework based ...
The problem of reducing congestion within urban areas by means of a traffic-responsive control strat...
Significant classes of transportation systems can be represented by Petri net models. In this paper,...
Significant classes of transportation systems can be represented by Petri net models. In this paper,...
Abstract — The paper proposes a model for real time control of urban traffic networks. A modular fra...
International audienceTraffic flow is a hybrid system which is characterized by two major behaviors:...
An urban network of signalized intersections can be suitably modeled as a hybrid system, in which th...
Control in urban traffic networks constitutes an important and challenging research topic nowadays. ...
Traffic systems are discrete systems that can be heavily populated. One way of overcoming the state ...
Timed Petri nets are considered in this paper, with the aim of providing an efficient tool for the m...
In this preliminary paper the simulation of an efficient hybrid model is presented to predict the be...