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.