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Raising Awareness of Artificial Intelligence for Transportation System Management and Operations
(February 13, 2020)

AI-ITMS | The Next Phase of Delaware Department of Transportation’s Integrated Transportation Management Program
Presenter: Gene S. Donaldson
Presenter’s Org: Delaware Department of Transportation (DelDOT)

T3 webinars are brought to you by the Intelligent Transportation Systems (ITS) Professional Capacity Building (PCB) Program of the USDOT’s ITS Joint Program Office (JPO). References in this webinar to any specific commercial products, processes, or services, or the use of any trade, firm, or corporation name is for the information and convenience of the public, and does not constitute endorsement, recommendation, or favoring by the USDOT.

The slides in this presentation contain the AI-ITMS logo and the https://deldot.gov/programs/itms URL.

Slide 1: AI-ITMS | The Next Phase of Delaware Department of Transportation’s Integrated Transportation Management Program

Raising Awareness of Artificial Intelligence for Transportation System Management and Operations
Delaware Department of Transportation (DelDOT)
Gene S. Donaldson, DelDOT TMC Operations Manager

Slide 2: DelDOT’s Integrated Transportation Management System (ITMS)

DelDOT’s existing multifaceted ITMS provides a robust foundation for innovation built on telecommunications, flexibility and an adaptable system

[This slide contains two images: (1) a map of Delaware marked to show locations of Traveler Information Devices, System Monitoring Devices, Operations/Control Devices, and Telecommunications and (2) four overlapping circles, each containing a background image and labeled with an aspect of the program: Transportation Homeland Security [a photo of an informal outdoor meeting attended by military personnel and construction personnel], 24 Hour TMC [a photo of the inside of a Transportation Management Center], Incident and Event Management [a photo of five construction personnel looking over blueprints], and Intelligent Transportation Technology [a photo of a tall communications tower].]

Slide 3: Critical Functions of ITMS

  • Monitoring
    • Did the tow truck arrive?
    • Have conditions changed?
  • Information
    • Is the public informed?
    • Have conditions changed?
  • Control
    • Adjust traffic signals to manage the detour route
    • Staff on scene to control traffic

[This slide contains three circles containing text (reproduced above) with bidirectional arrows between them. In the middle of the circles is a graphic image of one vehicle rear-ending another vehicle.]

Slide 4: DelDOT ITMS Strategic Plan


  • 2017 update to the ITMS Strategic plan
  • Addresses emerging technologies and DelDOT’s existing leverage for implementation:
    • Telecommunications Network
    • Traffic Signal and Intelligent Transportation System (ITS) Device Integration into Transportation Management Center (TMC)
    • Transit Integration
    • DelDOT Mobile Application
  • The next phase of ITMS will incorporate Artificial Intelligence (AI) and Machine Learning (ML)

[This slide contains a reproduction of the cover of DelDOT’s July 2017 Draft of the Integrated Transportation Management Strategic Plan | Update to the Original 1997 Plan.]

Slide 5: Artificial Intelligence-Enhanced ITMS Objectives

  • Create and maintain an enhanced ITMS that will predict traffic anomalies and adapt management and operations in real-time for current and predicted traffic conditions.
  • Adopt and deploy AI and ML technologies to automate multimodal system tasks (e.g. data collection, analysis, decision support, and solution evaluation processes)
  • Monitor all components of DelDOT’s ITMS and optimize performance to improve safety, mobility, sustainability, economic vitality, and air quality
  • Prepare DelDOT’s TMC to integrate emerging transportation technologies more efficiently and effectively

Slide 6: DelDOT ATCMTD Grant Award

  • Advanced Transportation and Congestion Management Technologies Deployment (ATCMTD) Grant program:
    • Established under the Fixing America’s Surface Transportation (FAST) Act to create competitive grants to deploy advanced transportation technologies with the goal of improving safety, efficiency, system performance, and infrastructure return on investment.
  • DelDOT proposed the AI-ITMS for the FY 2018 ATCMTD Grant Program
    • After reviewing 51 applications, FHWA selected 10 to receive grant funds
    • DelDOT was awarded a $4.9M ATCMTD Grant in April 2019.
    • The State of Delaware matched grant award for a total project cost of $10M.

These highly innovative projects offer high-tech solutions to relieve congestion and improve safety and efficiency on the nation’s highways.
- Elaine L. Chao, U.S. Transportation Secretary

Slide 7: AI-ITMS Deployment

  • Implementation will occur over a duration of three years in three project areas.
  • The project team is led by the DelDOT Division of Transportation Solutions, supported by:
    • Jacobs Engineering - Program Management Consultant
    • Intelligent Automation, Inc. (IAI) - Technical Consultants
    • Voice4Impact - Crowdsourcing
    • University of Delaware - supporting program evaluation by monitoring and reporting on project and program benefits

[This slide contains a map of Delaware and enlarged maps of three project areas for AI-ITMS deployment: Urban, Rural, and CAV.]

Slide 8: AI-ITMS Deployment

  • AI-ITMS Deployment
    Update the DelDOT website and mobile application to better inform the public of the information generated by the AI-ITMS program. Enhance crowdsourcing capability
  • Infrastructure
    Upgrade and deploy advanced sensors, video cameras, connected infrastructure, and transportation management system hardware and software to support the deployment of AI-ITMS.
  • Operation
    Development, integration, deployment, and testing of the AI-based software; includes three subprojects in distinct traffic networks: Urban, Rural, and CAV.

[This slide contains a pie chart of AI-ITMS with equal parts Traveler Information System (TIS), Infrastructure, and Operation (in Urban, Rural, and CAV traffic networks).]

Slide 9: Expected Outcomes

  • A truly predictive and adaptive self-monitoring transportation management system
  • Automated operation and enhanced decision making
  • Reduced incident detection time
  • Enhanced Crowdsourced data integration
  • Monitoring of CAV operation leveraging data for improved transportation management
  • Getting smarter over time for transportation management and operations

[This slide contains an AI-ITMS system flowchart displaying the interacting components: Incident, Anomaly/Inefficiency, Data Collection, Detection, Early Pattern Identification, Evaluation, Solution Development, Optimization, Solution Execution, Action, and Resolution. Connected to this flowchart via bidirectional arrows are Freeway/Arterial Corridor, Signal Systems, Transit, and CAV.]

Slide 10: AI-TOMS Software Diagram

  • Weather Data Collector → Weather Condition
  • Traffic Flow Data Collector → Speed, Volume, Occupancy
  • Bluetooth Data Collector → Travel Time
  • High Resolution Data Collector → Speed, Volume
  • Traffic Cameras/Video Processing → Vehicle Counts/Volume/Speed
  • WAZE/HERE Data Collector → Travel Time/Incidents
  • Social Media Data Collector and Analytics → Incidents
  • Simulation Server → Solutions, MOEs
  • Data Ingestion and Aggregation
  • Anomaly Detection Algorithm
  • Incident Detection Algorithm
  • Traffic Prediction Algorithm
  • Routing Choice Determination
  • Case-based Reasoning
  • Performance Evaluation
  • REST Web Services
  • Email Sender
  • Text Message Sender
  • Sound/Voice Generator
  • Social Media Data Poster
  • Timing Plan Writer
  • Message Board Management
  • Dashboard Web Pages
  • Android App
  • Email
  • Text Message
  • Sound/Voice
  • Social Media
  • Controllers
  • Message Board

[This slide contains a flowchart of the AI-TOMS Software Diagram. The information from the flowchart is reproduced above.]

Slide 11: Current Project Status

  • ATCMTD Program Start: October 1, 2019
  • Working on System Engineering Documents and Project Evaluation Plan
  • Computer hardware and software are being procured
  • Development team is working on data collection, aggregation and analysis tasks
  • Current software capabilities:
    • Process live traffic detector data (update every 5 minutes) for anomaly detection, will transition to 1 minute data
    • 24/7 continuous monitoring, instantaneous alert (email, message) and reporting the event
    • Automatic data visualization and CCTV camera video confirmation
    • Traffic flow prediction

[This slide contains images from the TMC: live feeds from three traffic cameras and a map of a section of Delaware, with roads labeled to show live congestion patterns and trends.]

Slide 12: AI-ITMS

For more information:
Gene Donaldson, TMC Operations Manager
(302) 659-4601

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