1. Jun 6, 2019Driving in Scottsdale is one thing. How will robocars handle the world's most chaotic and complex driving situations, places like Indonesia or even Boston. It turns out there may be solutions ...
  2. modernsciences.org

    Aug 15, 2024Robotaxis have caused problems, but they have the potential to improve traffic conditions. Mario Tama/Getty Images Weizi Li, University of Tennessee. Robotic vehicles can optimize the flow of traffic in cities even when mixed in with vehicles driven by humans, thereby improving traffic efficiency, safety and energy consumption, my colleagues and I found.
  3. champstory.com

    Dec 9, 2024With advancements teetering on the edge of implementation, understanding how these vehicles will reshape our urban environment is crucial. In this article, we will dive into the implications of autonomous vehicles on infrastructure, public spaces, and societal dynamics, and explore how cities can adapt to this new reality.
  4. usa.streetsblog.org

    A recent Congressional hearing on "the road ahead for automated vehicles" largely ignored the potentially devastating effects that personally owned AVs could have on the neighborhoods those cars drive through — and some experts say that means federal regulators need to start thinking outside the (robo)car as they write policy to anticipate the mode's rise.
  5. globalaffairs.org

    One thing is clear: AVs can help solve cities' problems or exacerbate them. Instead of merely accommodating driverless cars, we must decide how they can improve urban life and plan accordingly. Already, cities are developing task forces to approach the challenge.
  6. theconversation.com

    Aug 1, 2024Long before all vehicles become self-driving, AI could drastically improve traffic conditions. Traffic jams could become a thing of the past when even as few as 5% of cars are driven by robots.
  7. techxplore.com

    plan to test our approach on a variety of intersection types, and we want to test our approach under real-world vehicle-to-vehicle communications. Ultimately, our goal is to achieve effective and efficient mixed traffic control at the scale of cities. More information: Dawei Wang et al, Learning to Control and
  8. research.tudelft.nl

    T1 - Robocar and Urban Space Evolution. T2 - Robocar and Urban Space Evolution. A2 - Ionescu, Ioana. A2 - Muñoz Sanz, Victor. A2 - Dijkstra, Rients. PY - 2019. Y1 - 2019. N2 - How can we create more human-centered, resilient, and sustainable cities in the tech age?

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