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AI-Based Optimization of the Management of Snow Removal Assets / Resources Advisory Committee Meeting / April 13, 2001 AI-Based Optimization of Snow Removal.

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Presentation on theme: "AI-Based Optimization of the Management of Snow Removal Assets / Resources Advisory Committee Meeting / April 13, 2001 AI-Based Optimization of Snow Removal."— Presentation transcript:

1 AI-Based Optimization of the Management of Snow Removal Assets / Resources Advisory Committee Meeting / April 13, 2001 AI-Based Optimization of Snow Removal Assets / Resources Advisory Committee Meeting April 13, 2001

2 AI-Based Optimization of the Management of Snow Removal Assets / Resources Advisory Committee Meeting / April 13, 2001 Meeting Agenda: 2:00 p.m. Coffee/Refreshments 2:15Welcome/Introductions -- Prof. Salim 2:25Progress Report -- Prof. Salim 2:40Software Issues -- Prof. Salim 2:50Software Demo – Mr. Villavicencio Mr. Zora 3:20Panel Discussion -- All 3:50Setting of Action Items -- Prof. Salim 4:00Scheduling of Next Meeting

3 AI-Based Optimization of the Management of Snow Removal Assets / Resources Advisory Committee Meeting / April 13, 2001 Welcome/Introductions – Prof. Salim Grant Participants: Profs. Salim and Timmerman, Industrial Technology Profs. Emch and Strauss Geography

4 AI-Based Optimization of the Management of Snow Removal Assets / Resources Advisory Committee Meeting / April 13, 2001 Welcome/Introductions – Prof. Salim Advisory Board Members: Budd Curttright Public Works Director City of Cedar Falls Barbara Berquam GIS Coordinator Black Hawk County Dennis Burkheimer Maintenance Safety Services DOT ‑ Ames Dave Nelson Area Maintenance Manager DOT ‑ Waterloo Steve Decker Street Department City of Waterloo Daron Van Helden Public & Gov't Relations AAA Minnesota / Iowa

5 AI-Based Optimization of the Management of Snow Removal Assets / Resources Advisory Committee Meeting / April 13, 2001 Project Progress – Prof. Salim Technical Progress: Integration of Art * Enterprise and GIS package. Creation of Databases for resources. Software development of a prototype system. Demonstration case for Cedar Falls.

6 AI-Based Optimization of the Management of Snow Removal Assets / Resources Advisory Committee Meeting / April 13, 2001 Project Progress – Prof. Salim Educational Progress: Training of graduate students. Undergraduate research experiences. Project public website: www.uni.edu/transport. www.uni.edu/transport New website exclusive to project under development.

7 AI-Based Optimization of the Management of Snow Removal Assets / Resources Advisory Committee Meeting / April 13, 2001 Project Progress – Prof. Salim Publicity Goals: The following article will be orally presented at the indicated meeting in Helsinki, Finland, June 6, 2001. Title: A Communication-Based Paradigm for Construction Asset Management Authors: MD Salim and Marc A. Timmerman Accepted for the proceedings of the 2 nd Worldwide ECCE Symposium Information and Communication Technology (ICT) in the Practice of Building and Civil Engineering.

8 AI-Based Optimization of the Management of Snow Removal Assets / Resources Advisory Committee Meeting / April 13, 2001 Project Progress – Prof. Salim Submitted for review for oral presentation and conference proceeding publication at The Eighth East Asia- Pacific Conference on Structural Engineering and Construction in Singapore in December of 2001: Title: Optimization of Construction Logistics Using AI-based Heuristic Asset Management Tools Authors: MD Salim and Marc A. Timmerman

9 AI-Based Optimization of the Management of Snow Removal Assets / Resources Advisory Committee Meeting / April 13, 2001 Project Progress – Summary Table 0% 3.6 Final manual spring 2002/spring 2002 0% 4 Dissemination 4.1 Publication and presentation spring 2002/spring 2002 30% 3.2 Website implementation spring 2002/spring 2002 0% 4.3 Revised manual spring 2002/spring 2002 0% 4.4 Revised software spring 2002/spring 2002 0% 4.5 Commercialization spring 2002/spring 2002 0%

10 AI-Based Optimization of the Management of Snow Removal Assets / Resources Advisory Committee Meeting / April 13, 2001 Review of Project Software User Interface Input Problem Set-Up DATABASE GIS DATABASE ASSETS Optimizer OK? User Interface Output ART * ENTERPRISE ArcView 3.20 ARTSCRIPT (LISP) Yes No

11 AI-Based Optimization of the Management of Snow Removal Assets / Resources Advisory Committee Meeting / April 13, 2001 Software Issues – Prof. Salim Have just obtained GIS network integrator. This will be used for networking snowplow routes. In process of developing better lab network interface with UNI Computer support staff. In process of developing needed CD burn-in facilities and software for final project distribution.

12 AI-Based Optimization of the Management of Snow Removal Assets / Resources Advisory Committee Meeting / April 13, 2001 Software Demonstration– Mr. Villavicencio Mr. Zora

13 AI-Based Optimization of the Management of Snow Removal Assets / Resources Advisory Committee Meeting / April 13, 2001 Snow Removal Asset/Resource Management System General prototype. Focus on integration of AI shell with GIS and databases Use current information of DOT available through WWW Simple rules for: – Priority assignment of segments of roads, based on interstate condition, truck route, high or low traffic volume (based on Aadt of 5000 and 2000 respectively) – Assignment of snow plower based on cost and capacity criteria for each priority – Requires a hierarchy of rules to provide correct results (non monotonic logic)

14 AI-Based Optimization of the Management of Snow Removal Assets / Resources Advisory Committee Meeting / April 13, 2001 May be easily extended to include new knowledge, restrictions, and other assets Can include Cases for learning on CBR engine Uses 6 rules, 350 objects, 24 functions/routines, 8 databases for input, and generates 2 databases

15 AI-Based Optimization of the Management of Snow Removal Assets / Resources Advisory Committee Meeting / April 13, 2001 Prototype Development Knowledge Modeling

16 AI-Based Optimization of the Management of Snow Removal Assets / Resources Advisory Committee Meeting / April 13, 2001 Development of the Prototype Implemented using Rapid Development Cycle method adapted for AI steps. 2 different programming languages: – ArtScript from Art Enterprise (Lisp-like). Implements logic and part of database analysis – Avenue from ArcView (VB-like). Graphic representation and data preparation for Expert System shell

17 AI-Based Optimization of the Management of Snow Removal Assets / Resources Advisory Committee Meeting / April 13, 2001 Development of Prototype Architecture of the System General View – User’s Perspective

18 AI-Based Optimization of the Management of Snow Removal Assets / Resources Advisory Committee Meeting / April 13, 2001 General View – Developer’s perspective

19 AI-Based Optimization of the Management of Snow Removal Assets / Resources Advisory Committee Meeting / April 13, 2001 Output generated by the system Initial map generated for Cedar Falls

20 AI-Based Optimization of the Management of Snow Removal Assets / Resources Advisory Committee Meeting / April 13, 2001 Priority Assignment and results

21 AI-Based Optimization of the Management of Snow Removal Assets / Resources Advisory Committee Meeting / April 13, 2001 Panel Discussion -All

22 AI-Based Optimization of the Management of Snow Removal Assets / Resources Advisory Committee Meeting / April 13, 2001 Wrap Up – Prof. Salim Setting of action items. Plan for next meeting.


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