An optimization approach for congestion management for traffic signal control systems via first-order hybrid Petri nets

Ryotaro Yamazaki, Tatsushi Nishi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationIEEM 2015 - 2015 IEEE International Conference on Industrial Engineering and Engineering Management
PublisherIEEE Computer Society
Pages1252-1256
Number of pages5
ISBN (Electronic)9781467380669
DOIs
Publication statusPublished - Jan 18 2016
Externally publishedYes
EventIEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2015 - Singapore, Singapore
Duration: Dec 6 2015Dec 9 2015

Publication series

NameIEEE International Conference on Industrial Engineering and Engineering Management
Volume2016-January
ISSN (Print)2157-3611
ISSN (Electronic)2157-362X

Conference

ConferenceIEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2015
CountrySingapore
CitySingapore
Period12/6/1512/9/15

Keywords

  • a decomposition method
  • congestion management
  • discrete event systems
  • first-order hybrid Petri nets
  • modeling
  • optimization
  • traffic signal control systems

ASJC Scopus subject areas

  • Business, Management and Accounting (miscellaneous)
  • Industrial and Manufacturing Engineering
  • Safety, Risk, Reliability and Quality

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