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Faryal Ali, Zawar Hussain Khan, Ahmed B. Altamimi, Khurram Shehzad Khattak and Thomas Aaron Gulliver
Authors are encouraged to provide a concise description of the specific application or a potential application of the work. This section is not mandatory.
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Saad Inshi, Rasel Chowdhury, Hakima Ould-Slimane and Chamseddine Talhi
Predicting context-aware activities using machine-learning techniques is evolving to become more readily available as a major driver of the growth of IoT applications to match the needs of the future smart autonomous environments. However, with today?s i...
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Faryal Ali, Zawar Hussain Khan, Khurram Shehzad Khattak and Thomas Aaron Gulliver
Road surfaces are affected by rain, snow, and ice, which influence traffic flow. In this paper, a microscopic traffic flow model based on weather conditions is proposed. This model characterizes traffic based on the weather severity index. The Intelligen...
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Tianjun Zhu, Chuang Zhang, Tunglung Wu, Zhuang Ouyang, Houzhi Li, Xiaoxiang Na, Jianguo Liang and Weihao Li
The research on driver fatigue detection is of great significance to improve driving safety. This paper proposes a real-time comprehensive driver fatigue detection algorithm based on facial landmarks to improve the detection accuracy, which detects the d...
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Fei-Xue Wang, Qian Peng, Xin-Liang Zang and Qi-Fan Xue
Adaptive cruise control (ACC), as a driver assistant system for vehicles, not only relieves the burden of drivers, but also improves driving safety. This paper takes the intelligent pure electric city bus as the research platform, presenting a novel ACC ...
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Haobin Jiang, Huan Tian, Yiding Hua and Bin Tang
The experienced drivers with good driving skills are used as objects of learning, and road steering test data of skilled drivers are collected in this article. First, a nonlinear fitting was made to the driving trajectory of skilled driver in order to ac...
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Martin Treiber, Arne Kesting
Pág. 174 - 187
Traffic flow oscillations, including traffic waves, are a common yet incompletely understood feature of congested traffic. Possible mechanisms include traffic flow instabilities, indifference regions or finite human perception thresholds (action points),...
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Ronghui Zhang, Kening Li, Zhaocheng He, Haiwei Wang and Feng You
Focusing on safety, comfort and with an overall aim of the comprehensive improvement of a vision-based intelligent vehicle, a novel Advanced Emergency Braking System (AEBS) is proposed based on Nonlinear Model Predictive Algorithm. Considering the nonlin...
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Qi Yang, Ramachandran Balakrishna, Daniel Morgan, Howard Slavin
Pág. 1290 - 1299
We present a highly detailed, microscopic Dynamic Traffic Assignment (DTA) framework with sufficient fidelity to address emergent and future planning and operations applications. Congestion patterns are estimated at the lane level with explicit modeling ...
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Andreas Kendziorra, Peter Wagner, Tomer Toledo
Pág. 198 - 207
Car-following models are an essential part of microscopic traffic simulations. For research regarding traffic safety, traffic simulations need to simulate traffic safety related aspects realistically. That means, for example, accidents and near accidents...
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