Sökning: "intelligent transportation systems"

Visar resultat 26 - 30 av 54 avhandlingar innehållade orden intelligent transportation systems.

  1. 26. Safety-Aware Autonomous Systems : Preparing Robots for Life in the Real World

    Författare :Mattias Tiger; Fredrik Heintz; Patrick Doherty; Rachid Alami; Linköpings universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES;

    Sammanfattning : Real‐world autonomous systems are expected to be increasingly deployed and operating in real‐world environments over the coming decades. Autonomous systems such as AI‐enabled robotic systems and intelligent transportation systems, will alleviate mundane human work, provide new services, and facilitate a smarter and more flexible infrastructure. LÄS MER

  3. 27. Simulation-based Evaluation of Fixed to Flexible Transit

    Författare :David Leffler; Erik Jenelius; Wilco Burghout; Oded Cats; Chris Tampère; KTH; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Transportsystem; Transport Systems;

    Sammanfattning : Emerging technologies have inspired a wide array of flexible public transit system designs characterized by varying degrees of demand-responsive routing and scheduling. The availability and synthesis of new data sources with higher degrees of spatial and temporal richness brought on by advancements in Intelligent Transport Systems allow for monitoring and responding to evolving supply-demand imbalances in real-time. LÄS MER

  4. 28. Distributed control of interconnected systems and its application in traffic control

    Författare :Azita Dabiri; Chalmers tekniska högskola; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Linear Matrix Inequality; Distributed control; Traffic flow modelling and control; Input saturation;

    Sammanfattning : Over the past few decades, the need for mobility and road transportation has been significantly increased over the world. This turned as a dilemma in many metropolitan areas as traffic congestion costs energy and takes time of all individuals who live in big cities. LÄS MER

  5. 29. On Transient Communication Outages among Collaborating Connected and Automated Vehicles

    Författare :Shahriar Hasan; Elisabeth Uhlemann; Svetlana Girs; Javier Manuel Gozalvez Sempere; Mälardalens universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; ACC; CACC; Communication Systems; Systems-of-systems; Fault tolerance; fail-operational; fail-safe; transient communication outages; platooning; connected and automated vehicles; V2V; V2X; emergency braking; collision avoidance; string stability; machine learning; artificial intelligence; ML AI; X-AI; communication delays; discrete-even simulations; SUMO; PLEXE; Veins; OMNeT ; PlatoonSAFE; Computer Science; datavetenskap;

    Sammanfattning : Recent advances in wireless technology facilitating Vehicle-to-Vehicle (V2V) communication have paved the way towards connected and more cooperative Intelligent Transportation Systems (ITSs), enhancing road safety and sustainability. Connected and Automated Vehicles (CAVs) can exchange information with one another and their surrounding infrastructure, thereby enabling cooperative automated maneuvering such as vehicle platooning. LÄS MER

  7. 30. A Multi-Dimensional Approach to Human Mobility and Transportation Mode Detection Using GPS Data

    Författare :Paria Sadeghian; Johan Håkansson; Xiaoyun Zhao; Mengjie Han; Kevin Heaslip; Högskolan Dalarna; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; Transport mode detection; Machine learning; Statistical learning; Rule-based method; Data labelling;

    Sammanfattning : GPS tracking data is an essential resource for analyzing human travel patterns and evaluating the effects on transportation systems. The primary challenge, however, is to accurately identify the modes of transportation within unlabeled GPS data. These approaches range from simple rule-based systems to advanced machine-learning techniques. LÄS MER