DocumentCode :
2791414
Title :
Hybrid petri net modeling of traffic flow and signal control
Author :
Zhang, Li-Guo ; Li, Zhen-long ; Chen, Yang-Zhou
Author_Institution :
Sch. of Electron. Inf. & Control Eng., Beijing Univ. of Technol., Beijing
Volume :
4
fYear :
2008
fDate :
12-15 July 2008
Firstpage :
2304
Lastpage :
2308
Abstract :
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.
Keywords :
Petri nets; optimisation; road vehicles; traffic control; HPN; event system; hybrid Petri net modeling; individual intersection models; road stretch models; traffic control systems; traffic flow control; traffic optimization; traffic signal control; vehicle flow behavior; vehicles motion; Communication system traffic control; Cybernetics; Discrete event systems; Machine learning; Petri nets; Power system modeling; Road vehicles; Traffic control; Transportation; Vehicle dynamics; Hybrid Petri nets; Modeling; Performance evaluation; Traffic signal control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics, 2008 International Conference on
Conference_Location :
Kunming
Print_ISBN :
978-1-4244-2095-7
Electronic_ISBN :
978-1-4244-2096-4
Type :
conf
DOI :
10.1109/ICMLC.2008.4620789
Filename :
4620789
Link To Document :
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