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Showing 1 to 4 of 4 for “"Real-time traffic control"”.

  1. Microscopic Control Delay Modeling at Signalized Arterials Using Bluetooth Technology

    Real-time control delay estimation is an important performance measure for any intersection to improve the signal timing plans dynamically in real-time and hence improve the overall system performance. Control delay estimates helps to determine the level-of-service (LOS) characteristics of various …

    vt Repository record for Microscopic Control Delay Modeling at Signalized Arterials Using Bluetooth Technology (opens in a new tab)

  2. Modernising traffic flow analysis: A computer vision-driven prototype for vehicle detection

    … How can computer vision be used to support traffic flow analysis? RESEARCH SUB-QUESTIONS What is required within the planning, development and implementation phases of a prototype that performs accurate vehicle detection? How will the performance of a vehicle-detection prototype be measured? …

    eit-nz Repository record for Modernising traffic flow analysis: A computer vision-driven prototype for vehicle detection (opens in a new tab)

  3. Intelligent Real-Time Decision Support Systems for Road Traffic Management. Multi-agent based Fuzzy Neural Networks with a GA learning approach in managing control actions of road traffic centres.

    The selection of the most appropriate traffic control actions to solve non-recurrent traffic congestion is a complex task which requires significant expert knowledge and experience. In this thesis we develop and investigate the application of an intelligent traffic control decision support system …

    bradford Repository record for Intelligent Real-Time Decision Support Systems for Road Traffic Management. Multi-agent based Fuzzy Neural Networks with a GA learning approach in managing control actions of road traffic centres. (opens in a new tab)

  4. Enabling safe, smart, and sustainable Transportation Cyber-Physical Systems with Artificial Intelligence

    … cities highlight the critical need for evolved traffic operation strategies to better manage, control, and optimize transportation systems. This evolution calls for high-level and efficient traffic flow prediction models, essential in creating resilient urban environments. Concurrently, the rise …

    umn Repository record for Enabling safe, smart, and sustainable Transportation Cyber-Physical Systems with Artificial Intelligence (opens in a new tab)