会议专题

HYBRID PETRI NET MODELING OF TRAFFIC FLOW AND SIGNAL CONTROL

Traffic control systems of signalized intersections are naturally hybrid systems, in which vehicle flow behavior can be described by a time-driven model and the traffic light dynamics are modeled as a discrete event system. In this paper, we use hybrid Petri nets (HPNs) to specify traffic and traffic control at an intersection and use a second-order macroscopic model to model the motion of vehicles in a road stretch between two successive intersections. The traffic control system of an arterial street is thus modeled as a composition of individual intersection models and road stretch models. Such a structure is suitable to perform traffic optimization by changing the length of the offset between two adjacent intersections with the common cycle.

Modeling Hybrid Petri nets Performance evaluation Traffic signal control

LI-GUO ZHANG ZHEN-LONG LI YANG-ZHOU CHEN

School of Electronic Information & Control Engineering, Beijing University of Technology, Beijing 100022, China

国际会议

2008 International Conference on Machine Learning and Cybernetics(2008机器学习与控制论国际会议)

昆明

英文

2304-2308

2008-07-12(万方平台首次上网日期,不代表论文的发表时间)