1 research outputs found
Traffic flow optimization with QoS constrained network admission control
The paper proposes a control design method in order to gate
input flow to a protected urban vehicular network such that
travel time Quality of Service (QoS) constraints are
preserved within the network. In view of the network to be
protected (also called the region), two types of queues are
distinguished: external and internal. While external queues
represent vehicles waiting to enter the protected network,
an internal queue can be used to describe the network's
aggregated behaviour. By controlling the number of vehicles
entering the internal queue, the travel time within the
network subject to the vehicular conservation law and the
Network Fundamental Diagram (NFD) can be subsequently
controlled. The admission controller can thus be
interpreted as a mechanism which transforms the unknown
arrival process governing the number of vehicles entering
the network to a regulated process, such that prescribed
QoS requirements on travel time in the network and upper
bound on the external queue are satisfied. The admission
control problem is formulated as a constrained convex
optimization problem and a Model Predictive Control (MPC)
problem. A case study demonstrates the benefits of the
admission control mechanisms proposed