Роль макро-моделирования в активном управлении транспортной сетью

Abstract

Active Traffic Management (ATM) is the ability to dynamically manage recurrent and nonrecurrent congestion based on prevailing traffic conditions in order to maximize the efficiency of road networks. It is a continuous process of (1) obtaining and analyzing traffic measurement data; (2) operations planning - simulating various scenarios and control strategies; (3) implementing the most promising control strategies in the field; and (4) maintaining a real time decision support system that filters current traffic measurements to predict the traffic state in the near future, and to suggest the best available control strategy for the predicted situation. ATM relies on a fast and trusted traffic simulator for the rapid quantitative assessment of a large number of control strategies for the road network under various scenarios, in a matter of minutes. The open source macrosimulation tool Aurora Road Network Modeler is a good candidate for this purpose. The presentation describes the underlying dynamical traffic model, and covers the traffic performance measures and evaluation of scenarios as part of operations planning. It also introduces the framework within which the control strategies are modeled and evaluated and presents the algorithm for real time traffic state estimation and short term prediction.