About the course
FOUNDATIONS OF MOBILITY - COURSE 1
In this online course, you will learn from a multidisciplinary team of experts from Civil and Environmental Engineering, the U-M Transportation Research Institute, Energy Institute, and School of Public Policy. The role of mobility in individual equity is covered, such as health, and external social influences like environmental and safety concerns. Specific topics include the influence and role of mobility in poverty, health, and personal well-being. An overview of safety for conventional and future vehicles is also covered, as well as considerations for persons with mobility limitations. Additionally, the course addresses regulatory influences within mobility, such as sustainability and behavioral economics, along with external influences like the challenges associated with the management of mobility-related data.
TIME COMMITMENT AND WORK PACE
- You will have access to this course for 15 weeks.
- Each course module contains 7-8 hours of required recorded material and associated testing assessments.
- In its entirety, the course contains 42 hours of recorded instruction, with approximately 84 additional hours of readings, exercises, and assessments.
CONNECT WITH FACULTY & INDUSTRY PROFESSIONALS
In addition to self-paced learning, you will have the opportunity to interact live with U-M faculty and fellow learners through remote Zoom office hours. These optional sessions enable you to:
- Ask 1:1 questions
- Gain additional knowledge from U-M mobility experts
- Network with like-minded mobility professionals
COURSE AND CERTIFICATE REQUIREMENTS
- Successful completion of all course modules, readings, and testing assessments with an 80% pass rate is required to earn a digital badge for this course.
- To earn a Certificate in Foundations of Mobility, successful completion of this course and Course 2: Mobility Systems Design, Finance, and Regulation is required.
MODULE 1: INTRODUCTION
In this introductory module, Dr. Jim Sayer provides an overview of the course so you know what to expect as you progress through the material. You will also review various use cases to better understand how individuals are affected by some of the decisions/actions covered in the course's different topic areas. This module also provides information about the course schedule and navigation, and offers you an opportunity to introduce yourself to your instructors and classmates.
- Course Overview
- Use Cases
- Course Schedule & Navigation
- Student Introductions
MODULE 2: SOCIAL AND BEHAVIORAL ISSUES
This module covers the social and behavioral implications of mobility, including the intersection between transportation and economic mobility, urban sprawl and segregation, and transportation equity. Topics such as accessibility and human dynamics are discussed, along with social implications for the disabled and aging. You will also learn about the societal impacts of mobility technology and innovation, including privacy, socio-economic impacts, and ownership models.
- Economic Mobility 1
- Systems Thinking and Mobility
- Moving to Opportunity
- Economic Mobility 2
- Intergenerational Economic Mobility
- The Role of Urban Sprawl and Segregation
- Accessibility and Equity
- Transportation Equity
- Mobility and the Disabled
- Interaction and Social Isolation
- Neighborhood Isolation
- Human Dynamics and Tribes
- Interaction, Social Isolation, and Aging
- Driving Cessation and Aging in Place
Technology and Innovation
- Data Sharing and Privacy
- Mobility Data Supply Chains
- Socio-Economic Impacts of CAVs
- Scenario Planning
- New Mobility and Sustainability
- Sustainability Implications of Various Ownership Models for CAVs
MODULE 3: HEALTH AND SAFETY
The ability to move around with comfort and ease, without risk of injury, is fundamental to mobility. This module explores the many health and safety implications of mobility, ranging from injury biomechanics to special occupant demographics. You will begin by learning key biomechanical and epidemiological information, including safety considerations, crash data statistics, injury-causing mobility events, crash testing and modeling, and occupant protection. The module then covers several specific occupant populations, such as child passengers, pedestrians, and people with disabilities. Finally, you will learn about the safety considerations of automated vehicles.
- Introduction: Occupant Safety/Injury Biomechanics
- Epidemiology: Crash Data Statistics
- Injury Biomechanics I
- Injury Biomechanics II
- Occupant Protection
- Special Population of Occupants:
- Child Passengers
- Obese Occupants
- Older Drivers
- Young Drivers (Teens)
- People with Disabilities * Mobility Impairments
- People with Disabilities * ADA Requirements * Public Transportation and Barriers
- Behavior/Social Factors
- Cognitive Impairments and Dementia
- Automated Vehicles and Future Safety:
- Occupant Protection
- Driver Assistance Systems
- Motion Sickness
MODULE 4: MOBILITY AND THE ENVIRONMENT
This module examines the many ways that transportation affects the environment, including factors that determine the scale of impact and how these factors affect externalities such as air pollution and greenhouse gas emissions. You will learn about transportation energy use, how environmental concerns have been addressed to date, and technologies that can help improve the sustainability of mobility. This module also covers the environmental effects of major modes of transportation, including light-duty vehicles (personal travel), medium and heavy-duty vehicles (goods movement), air travel, and maritime shipping. By the end of the module, you will understand how major impacts are measured, know where to find data on the environmental effects of mobility systems, and recognize the public agencies and other entities involved in addressing mobility and the environment.
- Introduction – Module Overview and Key Concepts
- Travel Demand
- New Mobility Systems and the Future of Travel Demand
- Transportation Energy Use
- Transportation and Global Climate Change
- Transportation and Air Quality
- Motor Vehicle Emissions Control Systems
- Progress and Challenges in Motor Vehicle Emissions Control
- Vehicle Efficiency – Light-Duty Vehicles
- Vehicle Efficiency – Medium- and Heavy-Duty Vehicles
- Renewable Fuels
- Electric Vehicle Technologies
- How Do Plug-In Hybrid Electric Cars Work?
- Electric Vehicle Energy and Emission Impacts
- Air Travel and the Environment
- Toward Sustainable Mobility – Module Summary and Synthesis
MODULE 5: MOBILITY AND TECHNOLOGY
This module examines trends, opportunities, and challenges associated with intelligent transportation systems. You will learn about connected and automated vehicles, including communications technology, data standards, cybersecurity and privacy, and intelligent sensing/control. The module also covers road infrastructure technologies, such as traffic management and modeling applications, along with mobility services like mapping and decision-making technologies. You will walk away with a big picture understanding of smart transportation and its many applications.
- Introduction to Smart Transportation Systems
- Connected Vehicle (CV) Technologies
- Communication Technology and Protocols
- CV Data Standards
- CV Applications
- Automated Vehicle (AV) Technology
- AV sensing, planning, and control
- AV testing and evaluation
- Cyber security and privacy with CAV
- Road Infrastructure Technologies
- Traffic Management Technologies
- Traffic Modeling and Simulation
- Traffic management with CAVs
- Mobility Service Technologies
- Map Services I: Map Matching, Route Planning, Estimated Time of Arrival (ETA)
- Map Services II: Traffic Estimation, Traffic Forecast
- Decision Making Services: Dispatching
MODULE 6: MOBILITY DATA
This module provides an overview of key datasets, analytical tools, and data concepts related to mobility. You will learn a variety of data types and sources — from crash data to travel data to emissions data — while understanding how to appropriately use mobility data in analysis, modeling, and decision-making. These concepts will be presented at a conceptual level, in the context of example use cases. You will come away with an understanding of where to find data, what each dataset represents, and the kinds of questions it can inform, in addition to the role and use of predictive models such as classical statistical and machine-learning models.
- Basic Concepts
- Roadway Safety Planning Use Case #1
- Models and Prediction
- Roadway Safety Planning Use Case #2
- Sampling and Bias
- Transit Planning
- Automotive Engineering
- Data Sources
- Environmental Protection Agency
- Analysis Goals and Equity Concepts
- City Planning
- Classical Statistical and Machine Learning
- Automotive Engineering
- Wrapping Up
MODULE 7: SUMMARY
- Review of Use Cases
- Taking an Ecosystem Approach
- End of Course Survey
By the end of this two-course program, students will be able to:
- Define mobility as it relates to multiple disciplines, areas of expertise, and stakeholders (mobility as an ecosystem)
- Identify challenges and successes when employing mobility concepts.
- Apply mobility ecosystem concepts and techniques to solve specific mobility challenges.
Dr. Henry Liu is the Director of USDOT Midwest Center for Connected and Automated Transportation at the University of Michigan. He is also a Professor of Civil and Environmental Engineering and a Research Professor at the UM Transportation Research Institute (UMTRI). Prior joining the University ...
As a research scientist in the Human Factors Group at the University of Michigan Transportation Research Institute, Dr. Sayers has participated in both basic and translational research in the driver assistance and advanced safety systems development, naturalistic driving behavior, driver distract...
John M. DeCicco, Ph.D., is a research professor emeritus retired from the University of Michigan. His work addresses energy and environmental challenges through an interdisciplinary approach anchored in physical science while drawing insights from economics, other social sciences and public polic...
Dr. Flannagan has over 25 years of experience conducting data analysis and addressing research questions related to transportation and mobility. She develops analytical methods for and analyzes a wide variety of transportation-related data, including travel, driving, crash, traffic, and injury ou...
I'm an associate professor of public policy at the Ford School, a research associate professor in both the U-M Transportation Research Institute's (UMTRI) Human Factors group and Michigan Institute for Data Science (MIDAS), and an affiliated faculty member in the Department of Industrial and Oper...
Monica L.H. Jones is has over 10 years of experience conducting research studies relating to humans in engineered systems. Motivated by eight years of practice as an industrial engineer in the automotive industry, Dr. Jones’ approach to research is solution-oriented and based on detailed, accurat...
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