Repository logo

Infoscience

  • English
  • French
Log In
Logo EPFL, École polytechnique fédérale de Lausanne

Infoscience

  • English
  • French
Log In
  1. Home
  2. Academic and Research Output
  3. Journal articles
  4. Perimeter Control and Route Guidance of Multi-Region MFD Systems With Boundary Queues Using Colored Petri Nets
 
research article

Perimeter Control and Route Guidance of Multi-Region MFD Systems With Boundary Queues Using Colored Petri Nets

Fu, Hui
•
Chen, Saifei
•
Chen, Kaiyu
Show more
2022
Ieee Transactions On Intelligent Transportation Systems

Perimeter control based on Macroscopic Fundamental Diagram (MFD) aims to meter the number of transferring vehicles at the periphery of the protected urban region in order to obtain the desired number of vehicles in that region. The advantage of perimeter control is less computational effort, while its drawback is that it may create long queues and delays at the perimeter of the controlled area. For capturing boundary queue dynamics, an enhanced accumulation-based MFD model is proposed using colored Petri Nets by considering transfer flows, boundary queues and travel delays simultaneously. The gated intersections and related road segments on the border of a protected region are modeled as so-called boundary buffers. Based on the enhanced MFD model, anintegrated perimeter control framework is proposed with consideration of travel time and queuing time in buffers. In this framework, the controllers between peripheral and protected region are optimized using model predictive control theory. Then, internal flow controllers are adopted to homogenize traffic density among subregions, and route guidance is also used to balance the number of queuing vehicles among boundary buffers. Simulation results verify the effectiveness of the proposed integrated perimeter control. Furthermore, the impacts of buffer storage capacity on region heterogeneity and trip completion rates are also investigated in this paper.

  • Details
  • Metrics
Type
research article
DOI
10.1109/TITS.2021.3119017
Web of Science ID

WOS:000732881200001

Author(s)
Fu, Hui
Chen, Saifei
Chen, Kaiyu
Kouvelas, Anastasios  
Geroliminis, Nikolaos  
Date Issued

2022

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC

Published in
Ieee Transactions On Intelligent Transportation Systems
Volume

23

Issue

8

Start page

12977

End page

12999

Subjects

Engineering, Civil

•

Engineering, Electrical & Electronic

•

Transportation Science & Technology

•

Engineering

•

Transportation

•

petri nets

•

mathematical models

•

delays

•

vehicle dynamics

•

microscopy

•

logic gates

•

adaptation models

•

traffic dynamics

•

mfd (macroscopic fundamental diagram)

•

perimeter control

•

route guidance

•

urban road networks

•

fundamental diagram

•

flow-control

•

congestion

•

model

•

dynamics

•

optimization

•

ride

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
LUTS  
Available on Infoscience
January 1, 2022
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/184215
Logo EPFL, École polytechnique fédérale de Lausanne
  • Contact
  • infoscience@epfl.ch

  • Follow us on Facebook
  • Follow us on Instagram
  • Follow us on LinkedIn
  • Follow us on X
  • Follow us on Youtube
AccessibilityLegal noticePrivacy policyCookie settingsEnd User AgreementGet helpFeedback

Infoscience is a service managed and provided by the Library and IT Services of EPFL. © EPFL, tous droits réservés