Urban traffic systems dynamic entities discrete behavior

A new modeling methodology that enables represent the urban traffic system (UTS) dynamic entities using a multi-agent event oriented approach is presented. The methodology uses an enhanced n-Level net system (n-LNS) formalism of Petri nets. The first level describes the traffic network and UTS static and dynamic information objects; the second level describes the general entity behavior (activity execution, decision-making, entity interaction); finally at third level, particular entity behavior (process, skills and activities) incorporating a decision-making mechanism is described. The suggested novel methodology presented in this paper enable integrating formally diverse UTS dynamic entities behaviors in an event and multi-agent oriented approach.