Stochastic Optimal-Control Approach to Automatic Incident-Responsive Coordinated Ramp Control

This paper presents a stochastic optimal-control-based approach to real-time incident-responsive coordinated ramp control. The proposed coordinated ramp-control methodology includes two major functions, i.e., 1) identification of control-zone-based congestion patterns using the modified generalized-...

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Bibliographic Details
Published in:IEEE transactions on intelligent transportation systems 2007-06, Vol.8 (2), p.359-367
Main Authors: SHEU, Jiuh-Biing, CHANG, Mei-Shiang
Format: Article
Language:English
Subjects:
Applied sciences
Automatic control
Communication system traffic control
Computer science
control theory
systems
Computer simulation
Computer systems and distributed systems. User interface
Congestion
Control theory. Systems
Coordinated ramp controls
Detectors
Exact sciences and technology
Feasibility
Filtering
Ground, air and sea transportation, marine construction
incident management
Intelligent transportation systems
Kalman filtering
Kalman filters
Mathematical analysis
Mathematical models
Optimal control
Ramps
Real time systems
Robotics
Software
stochastic optimal control
Stochastic processes
Stochasticity
Traffic control
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Description
Summary:This paper presents a stochastic optimal-control-based approach to real-time incident-responsive coordinated ramp control. The proposed coordinated ramp-control methodology includes two major functions, i.e., 1) identification of control-zone-based congestion patterns using the modified generalized-sequential-probability-ratio-testing technology and 2) group-based ramp control using stochastic optimal control coupled with extended Kalman filtering technologies. With the aid of the Paramics microscopic traffic simulator, numerical studies under various simulated incident-induced congestion conditions were conducted. Corresponding numerical results indicate the feasibility of the proposed ramp-control method in responding to diverse lane-blocking incident-induced traffic-congestion conditions
ISSN:1524-9050
1558-0016
DOI:10.1109/TITS.2007.893327