Unveiling Citywide Data to Generate Artificial Intelligent Solutions

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This document summarizes Ian Machen's presentation on using citywide data and artificial intelligence to generate transportation solutions. It outlines the purpose, applications, challenges, process, lessons learned, and recommendations for developing data visualizations and fusing data from multiple city systems. The presentation covered use cases, sample visualization methods, challenges around complete insights and department silos, and the recommended step-process including identifying goals, challenges, performing audits and needs assessments, and setting performance indicators.

Unveiling Citywide Data to Generate Artificial Intelligent Solutions
2022 National Regional Transportation Conference
Ian Machen – Chief Executive Officer for Ludian

Summary of RITIS Tools Used
2
Outline
1. Purpose/Applications
2. Use-Cases of Data Visualization Techniques
3. The Challenges
4. The Process
5. Lessons Learned
6. Recommendations

Importance of Data Visualization
4
Data Visualizations can inform, spur action, and improve decision-making…
Perceiving
What does it
show?
Interpreting
What does it
mean?
Comprehending
What does it mean to me and how
does it resonate with the public?
Purpose/Application

Use-Cases of Data Visualization Techniques
5

Samples of Data Visualization Methods
6
Purpose/Application

Challenges
• Complete Data Visualization and Insights
• Reactive vs. Proactive & Predictive Traffic Management
• Connectivity of the Data
• Obtaining Quality Data
• Department silos
8
The Challenges

Summary of RITIS Tools Used
10
Step-Process for Data Fusion
1. Develop Data Goals
2. Identify Challenges
3. System Audits
4. System Architecture
5. Key Performance Indicators
6. Gap Analysis & Needs Assessment
7. Functional Specifications
The Process

Summary of RITIS Tools Used
11
Data Goals Development
Safety Traffic Flow
Efficiency
Community Inclusion Efficient Government
Data Infrastructure
Tech Sector
Development
The Process

Analysis to Date
Identifying Challenges / Systems Audit
Identifying Challenges
 Conduct interviews with City of Henderson team members
 Virtual meetings with system vendors
 Understand current operations & needs
Systems Audit
 Who are the super users?
 Residing Agency
 Database Type/Location
 Standalone or hosted?
 Functionality
 System failures
12
The Process

Summary of RITIS Tools Used
13
Building Data Visuals
Department
Subdivision
System System
Department
Subdivision
System
Department
Subdivision
System System’
Subdivision
System System
Systems’ Department Architecture Diagram
Data Flow Sketch
Data Flow Diagram
Systems Architecture

Safety
Traffic Flow
Efficiency Infrastructure
Measurable Key Performance Indicators (KPIs)
14
The Process

Analysis to Date
State of Practice Gap Analysis and Needs Assessment
15
Current Operation
Gap Noted Between
Current and Desired
Operations
Desired Operations
The Process

Summary of RITIS Tools Used
16
Recommendations
1. Understand the needs of the client to develop clear data goals
2. Assess what challenges there are
3. Perform a systems audit to identify any deficiencies
4. Trace how the data is captured and the quality of it
5. Build a systems architecture
6. Set measurable key performance indicators (KPIs)
7. Perform a Gap Analysis & Needs Assessment
8. Write a Systems Functional Specifications to build the system
Recommendations

Summary of RITIS Tools Used
17
Lessons Learned
1. Importance of interagency collaboration
2. Underutilization of systems and its data
3. No clear structure
4. Discrepancy in data collection
5. Reluctance to change
Lessons Learned

Thank you!
170 S Green Valley Pkwy Drive, Henderson, Nevada 89012 • Ludianusa.com
18
Thank You

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