Reference:
L.D. Baskar,
B. De Schutter,
H. Hellendoorn,
Z. Papp, and
T.J.J. van den Boom,
"Hierarchical traffic control and management with intelligent
vehicles: A survey," Tech. rep. 06-040, Delft Center for Systems and
Control, Delft University of Technology, Delft, The Netherlands, 73
pp., Feb. 2007.
Abstract:
Traffic congestion in highway network is one of the main issues to be
addressed by today's traffic management schemes. Further, automation
combined with the increasing market penetration of on-line
communication, navigation, and advanced driver assistance systems will
ultimately result in intelligent vehicle highway systems that offer
solutions to the traffic congestion problem and also improve the
capacity without building new highways. This report presents the
results of a survey on Intelligent Vehicles (IV) and IV-based control
measures which can provide an opportunity for integration within an
intelligent roadside infrastructure, and can be used to improve the
efficiency, performance, and throughput of traffic flow. This report
consists of five chapters. The first chapter introduces intelligent
vehicles. A description on automated highway systems and IV are
presented. Some interesting IV-based control measures that can improve
traffic flow are discussed. Chapter two gives a flavor of how traffic
flow is described mathematically. Microscopic, mesoscopic and
macroscopic traffic flow models are discussed. Chapter three treats
the subject of traffic control. We describe the existing control
designs in connection with (IV-based) traffic management and
especially focus on model predictive control methods. Chapter four
extends the topic on distributed control and also briefly discusses
traffic control frameworks. In Chapter 5, we also propose a control
design framework that uses the selected IV control measures in a
hierarchical roadside/vehicle traffic management structure. We
conclude by providing a roadmap of the research.