Skip to main content

Transportation 2.0: Detroit shows way forward

OEMs, suppliers, and technology firms are in a race to modernise our current transportation systems. These changes will bring about adaptations in how people fundamentally interact with transportation and how they provide and receive goods and services. What new business models will emerge from these changes? What challenges? Will modalities be combined? These are the overarching questions that are vital to prepare markets, governments, and researchers for the future. Delegates at the ITS America Annual Me
May 25, 2018 Read time: 3 mins
© F11photo | Dreamstime.com
OEMs, suppliers, and technology firms are in a race to modernise our current transportation systems. These changes will bring about adaptations in how people fundamentally interact with transportation and how they provide and receive goods and services. What new business models will emerge from these changes? What challenges? Will modalities be combined? These are the overarching questions that are vital to prepare markets, governments, and researchers for the future.  Delegates at the ITS America Annual Meeting Detroit have a unique opportunity to hear about, and understand, the overarching questions facing us.


Connectivity, Autonomy and the Future of Transportation and Transport

AI, Machine Learning, and Autonomy are spreading through multiple modes of transportation and transport, and the use of these technologies will grow in ubiquity. As these technologies become standard, we will see multiple changes in the combining and expansion of modes and it will change the nature of how we interact with goods and services. How will markets change? How will the workforce adapt? How will cities and states manage the data generated? What type of productivity growth will this create? How will commercial fleets change? What opportunities and challenges does the future hold? What is the next generation of autonomy and what is beyond autonomy?

Electrification and Infrastructure

As we move to a new transportation network with increasingly electrified vehicles using more sustainable energy sources, investment in intelligent infrastructure becomes a critical need.  How do we build and maintain the core infrastructure? How does electrification change freight? What are the next steps in creating a majority electric fleet? What is next?

Regulatory and Financial Challenges Related to Deployment of ITS Technologies

ITS technologies hold incredible potential to make communities more safe, accessible, equitable, sustainable, and economically vibrant. Unfortunately, building and deploying ITS technologies will not be easy. Before technologies are deployed on a large scale, regulatory and funding consideration will need to be addressed.  How can cities, states, and technology companies work together to find solutions that will ultimately bring ITS technologies to communities large and small across the country?

Cybersecurity and Privacy Opportunities and Challenges

Cybersecurity and privacy are both key components of an intelligent transportation system.  How should the industry move forward in seeking out a universal framework?  What are the greatest challenges presented by cybersecurity?  What opportunities are created for new emergent firms focused on cyber security in the ITS space? What is the future of cybersecurity as edge and quantum computing come on line?

Transportation Systems Operations

Emerging technology is all essentially geared to the same goal: addressing practical challenges in the day-to-day operation of our transportation facilities. Whereas connected and automated vehicle systems showcase the future of transportation systems operations, proven intelligent transportation systems and traffic management technologies continue to offer the potential to improve the operations and safety of the transportation network.

The Impacts & Opportunities of Big Data

As the availability of operational data grows, the transportation community faces challenges associated with how to manage, store and analyse all of this data. These challenges, and associated opportunities, will be exacerbated by the deployment of connected vehicles. It is important to learn from other sectors dealing with this influx of data in order to address challenges and optimise benefits.

Related Content

  • ITS annual meeting - how transportation affects social issues
    August 2, 2012
    The 2010 ITS America Annual Meeting & Exposition, which will take place in Houston, Texas will offer attendees something of a contrast with the policy-driven event which took place in Washington, DC this year. Houston will go to the other end of the scale and focus on real-life technology applications and operational best practice, says event Co-Chair David Sparks
  • Towards intelligent road infrastructure
    October 8, 2021
    A digital transformation is happening in the world today and the result is that Europe’s transport infrastructure, and also the car industry are experiencing revolutionary changes. Jēkabs Krastiņš looks at the challenges and plots the road ahead.
  • Vehicle ownership - a thing of the past?
    May 22, 2012
    Convergence of electron-powered vehicles with connected vehicle technologies could mean that only a few decades from now the idea of owning a vehicle will be entirely alien to the road user. By Technolution chief scientist Dave Marples with Jason Barnes Even when taken individually, many of the developments going on and around vehiclebased mobility will bring about major changes in transportation. Taken collectively, the transformations we might expect are nothing short of profound. Enumeration of the influ
  • Healthy prospects for floating vehicle data systems
    February 3, 2012
    Elmar Brockfeld, Alexander Sohr and Peter Wagner from the German Aerospace Center's Institute of Transport Systems look at the prospects for floating vehicle data systems. Although Floating Vehicle Data (FVD) or probe vehicle fleets have been around for about a decade, the idea behind them is of course much older: from probe vehicles that flow with the traffic it should be possible to get a precise, fast and spatially near-complete picture of the prevailing traffic flow conditions in an area under surveilla