Resources for Students and Instructors

ITS University Workshop #5
November 8-9, 2017 | Turner-Fairbank Highway Research Center in McLean, Virginia

Day 1 Presentation | November 8, 2017

Role of Connected and Automated Vehicles in Transportation Planning

Presenter: Max Azizi
Presenter’s Org: Federal Highway Administration (FHWA)

HTML version of the presentation
Image descriptions are contained in brackets. [ ]

<< Return to Workshop Files

Slide 1: Role of Connected and Automated Vehicles in Transportation Planning

U.S. DOT 5^th ITS PCB University Workshop
November 2017

Slide 2: Role of Connected and Automated Vehicles in Transportation Planning

Recent CV/AV Planning Research Projects

Incorporating CV/AV in Transportation Planning Processes and Products
Scenario Planning for Connected and Automated Vehicles

Slide 3: Incorporating Connected/Automated Vehicles in Transportation Planning

Purpose of the Study
The study aimed to help facilitate the consideration of C/AV in transportation planning processes and products by States, MPOs and local agencies by reviewing:

Impacts on planning processes and products
Impacts on roles and responsibilities
Impacts on tools, techniques and data
Impact on organizational skills and expertise

Slide 4: Impacts on Processes

General Considerations

Understand the technology and its dimensions
Track technology advancements
Understand market penetration & efficacy rates for technology and applications
Forge partnership with new stakeholders
Utilize ITS approach as a platform for incorporating C/AV in planning processes
Incorporate Dedicated Short Range Communication (DSRC) into arterial and intersection improvement projects and for data gathering
Consider data collection opportunities that require small smart technology market penetration
Plan to manage “Big Data”

Long Term impacts:

Incorporate potential changes in physical infrastructure requirements
Considerate shortened project life cycles with more focus on communications
Prepare for rapid technology changes
Prepare for change in travel behavior & travel patterns and thereby on transportation planning tools and models
Plan for multifaceted fleet composition
Consider potential impact on transportation, land use, and economy

Slide 5: Impacts on Roles and Responsibilities

Summary of Recommendations

New stakeholders

Communications companies
Vendors of C/AV equipment and systems
Vendors providing data management and analytical services
Companies that will provide security
Educational institutions
New niche organizations that have not yet emerged

New Expertise

Data analyst and data “scientist” to manage “Big Data”
Hardware, software and communications technology specialists
Potential shift of analytical responsibilities from the public sector to the private sector

Slide 6: Impacts on Tools, Techniques and Data

Factors to consider in evaluating the effectiveness of tools

Levels of automation
Market penetration
Efficacy rates
Impact on fleet composition
Availability of empirical data representing gains in capacity, delay, travel time, speed, and emissions under different market penetration rates

Tools must be revisited and revised to account for

Changes in infrastructure criteria
Changes in driver behavior
New capabilities

Slide 7: Deliverables

Impact on planning processes and products
http://ntl.bts.gov/lib/55000/55700/55711/FHWA-JPO-16-246.pdf- content is no longer available
Impact on tools, techniques and data
http://ntl.bts.gov/lib/55000/55700/55712/FHWA-JPO-16-247.pdf- content is no longer available
11 illustrative case studies
Workforce skills and Training
http://ntl.bts.gov/lib/59000/59100/59173/FHWA-JPO-16-364.pdf- content is no longer available
Primer
Outreach materials
- Highway Capacity Manual Tech Memo
  http://ntl.bts.gov/lib/59000/59300/59316/FHWA-JPO-16-365.pdf- content is no longer available
- Modeling Tech Memo
  http://ntl.bts.gov/lib/59000/59200/59249/FHWA-JPO-16-412.pdf- content is no longer available
- Planning Community Outreach Tech Memo
- Desk Reference

Slide 8: Scenario Planning for Connected and Automated Vehicles

Background

Scenario planning is a tool used by planner to develop plausible futures and highlights major forces that can shape the future
Helps decision makers to prepare for tomorrow

Purpose of the Study

Develop several futures
Document and describe the process for conducting CV/AV scenario planning

Slide 9: Scenario Planning for Connected and Automated Vehicles

Scope

Technology scan
Scenario planning workshops
- Workshop #1 on technology
- Workshop #2 - Testing Scenario Implications
Policy implications
Outreach materials

Schedule

This study was initiated in December 2016 and will be completed in spring 2018.

Slide 10: Scenario Planning for Connected and Automated Vehicles

Workshops 1

Conduct in August 2017
Panel of Experts
Target Year 2035
Focused on Emerging Technology
- Automation
- Connectivity
- Cooperation
Developed 6 Scenarios
- Drivers - External Forces (Market Actions, Consumer Preferences, Innovation)
- Levers - Internal Actions (Public policies, Infrastructure Investment, Subsidies, Restrictions)

Slide 11: Six Potential CV/AV Scenarios Developed in Workshop #1

Enhanced Driving Experience
- Managed Autonomous Lane Network (AV Lane Networks)
  AV travel is consolidated to a large-scale lane network with significant consumer adoption
- Ultimate Driver Assist (Ultra-Connectivity)
  AV adoption stalls, CV becomes ubiquitous
Slow Roll
- Slow Roll (Minimal Plausible Change)
  Accounts for advances in safety technology, TMSO, and mobility services
Driver Becomes Mobility Customer
- Niche Service Growth (High AV/CV in certain cases)
  Niche applications for CV/AV dominate the landscape
- Competing Fleets (Automated TNC fleets compete)
  Level-4 AV is safe for most trips but are dominated by competing fleets
- RoboTransit (Automated mobility-as-service)
  Strong public-private partnership for system optimization

[This slide contains a diagram of a box with “Trajectories towards CV/AV Advancements: TODAY” inside it. This box is connected with arrows going towards multiple components of future 2035 CV/AV scenarios (Managed Autonomous Lane Network, Ultimate Driver Assist, Slow Roll, Niche Service Growth, Competing Fleets, and RoboTransit). Further image details are listed above.]

↑ Return to top