TY - GEN
T1 - An optimization approach for congestion management for traffic signal control systems via first-order hybrid Petri nets
AU - Yamazaki, Ryotaro
AU - Nishi, Tatsushi
PY - 2016/1/18
Y1 - 2016/1/18
N2 - In this paper, we study an optimization approach for congestion management for traffic signal control systems via first-order hybrid Petri nets. The traffic signal control problem is represented by the optimal firing sequence problem for the first-order hybrid Petri net (FOHPN). In order to solve large scale problems, the Petri net decomposition approach for FOHPN is developed. The computational results show that the computation time can be reduced by the proposed approach and the outcome of the FOHPN decomposition approach for congestion management.
AB - In this paper, we study an optimization approach for congestion management for traffic signal control systems via first-order hybrid Petri nets. The traffic signal control problem is represented by the optimal firing sequence problem for the first-order hybrid Petri net (FOHPN). In order to solve large scale problems, the Petri net decomposition approach for FOHPN is developed. The computational results show that the computation time can be reduced by the proposed approach and the outcome of the FOHPN decomposition approach for congestion management.
KW - a decomposition method
KW - congestion management
KW - discrete event systems
KW - first-order hybrid Petri nets
KW - modeling
KW - optimization
KW - traffic signal control systems
UR - http://www.scopus.com/inward/record.url?scp=84962009799&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84962009799&partnerID=8YFLogxK
U2 - 10.1109/IEEM.2015.7385848
DO - 10.1109/IEEM.2015.7385848
M3 - Conference contribution
AN - SCOPUS:84962009799
T3 - IEEE International Conference on Industrial Engineering and Engineering Management
SP - 1252
EP - 1256
BT - IEEM 2015 - 2015 IEEE International Conference on Industrial Engineering and Engineering Management
PB - IEEE Computer Society
T2 - IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2015
Y2 - 6 December 2015 through 9 December 2015
ER -