Urban Studies and Planning Commons^™

Multiple Stochastic Learning Automata For Vehicle Path Control In An Automated Highway System, Cem Unsal, Pushkin Kachroo, John S. Bay

Electrical & Computer Engineering Faculty Research

This paper suggests an intelligent controller for an automated vehicle planning its own trajectory based on sensor and communication data. The intelligent controller is designed using the learning stochastic automata theory. Using the data received from on-board sensors, two automata (one for lateral actions, one for longitudinal actions) can learn the best possible action to avoid collisions. The system has the advantage of being able to work in unmodeled stochastic environments, unlike adaptive control methods or expert systems. Simulations for simultaneous lateral and longitudinal control of a vehicle provide encouraging results

What Does Smart Growth Mean For Housing?, Karen A. Danielsen, Robert E. Lang, William Fulton

Public Policy and Leadership Faculty Publications

Barely noticed amid the returns from the 1998 midterm elections was a quiet revolution that goes to the heart of how and where Americans live. While most news accounts focused on the high-profile candidate elections, voters across the nation-in Democratic and Republican areas alike-approved more than 160 state and local ballot measures intended to preserve open space and limit urban sprawl.

The coalition forming around the idea of limiting sprawl includes environmentalists, farmers, big-city mayors, and some developers. But perhaps most important, the so-called "smart growth" movement also includes many suburban voters who are fed up with growth. For example, …