ai-based optimization of the management of snow removal assets / resources advisory committee...
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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 AI-Based Optimization of Snow Removal Assets / ResourcesSnow Removal Assets / Resources
Advisory Committee
Meeting
April 13, 2001
AI-Based Optimization of the Management of Snow Removal Assets / Resources
Advisory Committee Meeting / April 13, 2001
Meeting Agenda:Meeting Agenda:
2:00 p.m. Coffee/Refreshments
2:15 Welcome/Introductions -- Prof. Salim
2:25 Progress Report -- Prof. Salim
2:40 Software Issues -- Prof. Salim
2:50 Software Demo – Mr. Villavicencio
Mr. Zora
3:20 Panel Discussion -- All
3:50 Setting of Action Items -- Prof. Salim
4:00 Scheduling of Next Meeting
AI-Based Optimization of the Management of Snow Removal Assets / Resources
Advisory Committee Meeting / April 13, 2001
Welcome/Introductions – Prof. SalimWelcome/Introductions – Prof. Salim
Grant Participants:
Profs. Salim and Timmerman,
Industrial Technology
Profs. Emch and Strauss
Geography
AI-Based Optimization of the Management of Snow Removal Assets / Resources
Advisory Committee Meeting / April 13, 2001
Welcome/Introductions – Prof. SalimWelcome/Introductions – Prof. SalimAdvisory 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
AI-Based Optimization of the Management of Snow Removal Assets / Resources
Advisory Committee Meeting / April 13, 2001
Project Progress – Prof. SalimProject 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.
AI-Based Optimization of the Management of Snow Removal Assets / Resources
Advisory Committee Meeting / April 13, 2001
Project Progress – Prof. SalimProject Progress – Prof. Salim
Educational Progress:Training of graduate students.Undergraduate research experiences.Project public website:
www.uni.edu/transport.New website exclusive to project under
development.
AI-Based Optimization of the Management of Snow Removal Assets / Resources
Advisory Committee Meeting / April 13, 2001
Project Progress – Prof. SalimProject 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
ManagementAuthors: MD Salim and Marc A. TimmermanAccepted for the proceedings of the 2nd Worldwide ECCE Symposium
Information and Communication Technology (ICT) in the Practice of Building and Civil Engineering.
AI-Based Optimization of the Management of Snow Removal Assets / Resources
Advisory Committee Meeting / April 13, 2001
Project Progress – Prof. SalimProject 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
AI-Based Optimization of the Management of Snow Removal Assets / Resources
Advisory Committee Meeting / April 13, 2001
Project Progress – Summary TableProject Progress – Summary TableTASK
# TASK DESCRIPTION COMPLETION
DATA EXPECTE D/ACTUAL
% OF TASK
COMPLETED
1 Software review and evaluation 1.1 Software acquisition spring 2001/spring 2001 90% 1.2 Lab set-up spring 2001/spring 2001 100% 1.3 Software integration spring 2001/spring 2001 90% 2 Preliminary software verification 2.1 GIS entry summer 2001/summer 2001 80% 2.2 Asset entry summer 2001/summer 2001 20% 2.3 Field data entry summer 2001/summer 2001 5% 2.4 Test case-optimization summer 2001/summer 2001 5% 2.5 Test case-validation summer 2001/summer 2001 5% 2.6 Preliminary manual summer 2001/summer 2001 20% 3 Final Software Verification 3.1 GIS entry spring 2002/spring 2002 0% 3.2 Asset entry spring 2002/spring 2002 0% 3.3 Field data entry spring 2002/spring 2002 0% 3.4 Test case-optimization spring 2002/spring 2002 0% 3.5 Tests case-validation spring 2002/spring 2002 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%
AI-Based Optimization of the Management of Snow Removal Assets / Resources
Advisory Committee Meeting / April 13, 2001
Review of Project SoftwareReview of Project Software
User Interface Input
Problem Set-Up
DATABASEGIS
DATABASEASSETS
Optimizer
OK?
User Interface Output
ART *ENTERPRISE
ArcView 3.20
ArcView 3.20
ARTSCRIPT(LISP)
Yes
No
AI-Based Optimization of the Management of Snow Removal Assets / Resources
Advisory Committee Meeting / April 13, 2001
Software Issues – Prof. SalimSoftware 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 UNIComputer support staff.
•In process of developing needed CD burn-in facilities andsoftware for final project distribution.
AI-Based Optimization of the Management of Snow Removal Assets / Resources
Advisory Committee Meeting / April 13, 2001
Software Demonstration– Software Demonstration– Mr. VillavicencioMr. Villavicencio
Mr. Zora Mr. Zora
AI-Based Optimization of the Management of Snow Removal Assets / Resources
Advisory Committee Meeting / April 13, 2001
Snow Removal Asset/Resource Snow Removal Asset/Resource Management SystemManagement 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)
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
AI-Based Optimization of the Management of Snow Removal Assets / Resources
Advisory Committee Meeting / April 13, 2001
Prototype DevelopmentPrototype DevelopmentKnowledge ModelingKnowledge Modeling
AI-Based Optimization of the Management of Snow Removal Assets / Resources
Advisory Committee Meeting / April 13, 2001
Development of the PrototypeDevelopment 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
AI-Based Optimization of the Management of Snow Removal Assets / Resources
Advisory Committee Meeting / April 13, 2001
Development of PrototypeDevelopment of PrototypeArchitecture of the SystemArchitecture of the System
General View– User’s Perspective
AI-Based Optimization of the Management of Snow Removal Assets / Resources
Advisory Committee Meeting / April 13, 2001
General View– Developer’s perspective
AI-Based Optimization of the Management of Snow Removal Assets / Resources
Advisory Committee Meeting / April 13, 2001
Output generated by the systemOutput generated by the system
Initial map generated for Cedar Falls
AI-Based Optimization of the Management of Snow Removal Assets / Resources
Advisory Committee Meeting / April 13, 2001
Priority Assignment and results
AI-Based Optimization of the Management of Snow Removal Assets / Resources
Advisory Committee Meeting / April 13, 2001
Panel Discussion -AllPanel Discussion -All
AI-Based Optimization of the Management of Snow Removal Assets / Resources
Advisory Committee Meeting / April 13, 2001
Wrap Up – Prof. SalimWrap Up – Prof. Salim
•Setting of action items.
•Plan for next meeting.