@conference {
	title = {Filtering and Prediction Algorithms for Urban Traffic Control Systems},
	author = {Baras, John S., Levine, William S.},
	year = {1976},
	month = {07/1976},
	abstract = {There is evidence that the algorithms for estimating traffic flows from~sensor data need to be improved before computer controlled traffic responsive~urban traffic control systems can reach their full potential effectiveness. A~large part of the problem appears to be that the data from traffic sensors is,in the statistical jargon, a marked point process. It is only very recently that the theoretical techniques for estimation based on point process data have reached the sophistication needed for traffic problems. Thus, this paper~describes and illustrates the way in which these techniques are being applied~to the design of algorithms for filtering and prediction of urban traffic flows.},
	address = {Los Angeles, California},
	booktitle = {4th Intersociety Conference on Transportation},
	pages = {pp. 1-17}
}
