@conference {
	title = {Some Results on Computer Control of Urban Traffic},
	author = {Baras, John S., Levine, William S.},
	year = {1980},
	month = {06/1980},
	abstract = {The problem of controlling vehicle traffic on an urban street network is a particular example of a large scale systems problem,~In a reasonably typical~network there will be one thousand or more traffic signals, there may be several hundred sensors (vehicle detectors) and the network is typically distributed over~several hundred square miles. It is now quite common to control these systems primarily from a central computer. The traffic control problem is modelled by a kind of "store and forward" network in which vehicles are {\textquoteright}stored{\textquoteright} in queues at the signals and "forwarded{\textquoteright} in platoons. The data from detectors is modelled as a point process that is statistically related~to the queues and platoons.~It would be very tempting to design optimal feedback control algorithms for these~systems. However, the size of the problems makes this impossible. Instead sub-optimal controls are developed. These sub-optimal controls use the minimum error variance estimator of the queues at each intersection as determined from the above model to improve the control provided by several intuitively derived sub-optimal~controls. The sub-optimal controls have been tested using a good simulation of urban traffic. The sub-optimal controls give substantially better performance than benchmark open loop controls. Conditions under which the network can be decomposed~than~into subnetworks without significant degradation in performance are also given.~},
	address = {Toulouse, France},
	booktitle = {IFAC Symposium on Large Scale Systems: Theory and Applications},
	pages = {pp. 449-458}
}
