[net.ai] Project - Traffic Information System

XASV02%svpa@ucl-cs.arpa (09/20/84)

From:  "Dr. A. Sloman" <XASV02%svpa@ucl-cs.arpa>

                       [Edited by Laws@SRI-AI.]


     An Intelligent Collator and Condenser of Traffic Information

The Cognitive Studies Programme, at Sussex University, UK, now has an
AI/Natural Language project to build a traffic information system.
The project is concerned with a system which processes and integrates
reports from the police about traffic accidents. It must also make decisions
about which motorists are to be informed about these accidents, by means
of broadcasts over an (eventually) nationwide cellular radio network.
A significant part of the project will involve investigating to what
extent unrestricted natural language input can be handled, and how the obvious
problems of unexpected and ungrammatical input can be overcome. It will also
be necessary to encode rules about intelligent broadcasting strategies for
traffic information.  A dedicated workstation (probably SUN-2/120)
will be provided for the project, as well as access to network
facilities and other computing facilities at Sussex University (mostly
VAX-based).

For information about the project, and/or about the large and growing AI
group at Sussex University, please contact Chris Mellish, Arts Building E,
University of Sussex, BRIGHTON BN1 9QN, England. Phone (0273)606755 -
if Chris is not in ask for Alison Mudd.
(Contact via netmail is not convenient at present.)

Aaron Sloman