Search Results - "Imprialou, Marianna"

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  1. 1

    Methodological evolution and frontiers of identifying, modeling and preventing secondary crashes on highways by Yang, Hong, Wang, Zhenyu, Xie, Kun, Ozbay, Kaan, Imprialou, Marianna

    Published in Accident analysis and prevention (01-08-2018)
    “…•Investigated state-of-the-art approaches for secondary crash (SC) identification.•Thoroughly examined the practices for modeling and predicting SC…”
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    Journal Article
  2. 2

    Simulating and Modelling the Safety Impact of Connected and Autonomous Vehicles in Mixed Traffic: Platoon Size, Sensor Error, and Path Choice by Papadoulis, Alkis, Imprialou, Marianna, Feng, Yuxiang, Quddus, Mohammed

    Published in Machines (Basel) (01-06-2024)
    “…The lack of real-world data on Connected and Autonomous Vehicles (CAVs) has prompted researchers to rely on simulations to assess their societal impacts…”
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    Journal Article
  3. 3

    Crash data quality for road safety research: Current state and future directions by Imprialou, Marianna, Quddus, Mohammed

    Published in Accident analysis and prevention (01-09-2019)
    “…•Crash data used in safety analyses often contain erroneous or missing information.•Crash location, time and severity are the most frequently misreported…”
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    Journal Article
  4. 4

    Evaluating the safety impact of connected and autonomous vehicles on motorways by Papadoulis, Alkis, Quddus, Mohammed, Imprialou, Marianna

    Published in Accident analysis and prevention (01-03-2019)
    “…•A CAV control algorithm is implemented in a simulated motorway segment.•CAVs can reduce traffic conflicts depending on CAVs penetration rate.•Greater…”
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    Journal Article
  5. 5

    Transport investment, railway accessibility and their dynamic impacts on regional economic growth by Alotaibi, Saleh, Quddus, Mohammed, Morton, Craig, Imprialou, Marianna

    “…This paper examines the impact of large-scale transport investment and the resulting increase of accessibility on the Gross Domestic Product (GDP) in the…”
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    Journal Article
  6. 6

    Wasserstein Generative Adversarial Network to Address the Imbalanced Data Problem in Real-Time Crash Risk Prediction by Man, Cheuk Ki, Quddus, Mohammed, Theofilatos, Athanasios, Yu, Rongjie, Imprialou, Marianna

    “…Real-time crash risk prediction models aim to identify pre-crash conditions as part of active traffic safety management. However, traditional models which were…”
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    Journal Article
  7. 7

    Impacts of speed variations on freeway crashes by severity and vehicle type by Choudhary, Pushpa, Imprialou, Marianna, Velaga, Nagendra R., Choudhary, Alok

    Published in Accident analysis and prevention (01-12-2018)
    “…•The study explores the relationship of speed and speed variations with crash rates.•Crashes by vehicle (HV/LV) and severity types (serious/injury) are…”
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    Journal Article