Dynamic queuing transmission model for dynamic network loading
Transport, 2017 This paper presents a new macroscopic multi-class dynamic network loading model called Dynamic Queuing Transmission Model (DQTM). The model utilizes ‘good’ properties of the Dynamic Queuing Model (DQM) and the Link Transmission Model (LTM) by offering a ...
Nevena Raovic +2 more
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Cell transmission model of dynamic assignment for urban rail transit networks. [PDF]
PLoS ONE, 2017 For urban rail transit network, the space-time flow distribution can play an important role in evaluating and optimizing the space-time resource allocation.
Guangming Xu +3 more
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Aerosol transmission risk of COVID-19 when passengers move slowly in a line at the airport terminal [PDF]
E3S Web of Conferences, 2022 The airport terminal with high numbers of occupied passengers has potentially become high risk region for aerosol transmission of COVID-19. In this paper, the Eulerian-Lagrangian approach and realizable k–ε turbulence model is used to numerically ...
Zhao Yu, Feng Yao
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Dynamic Sign Guidance Optimization for Crowd Evacuation considering Flow Equilibrium
Journal of Advanced Transportation, 2022 The dynamic exit sign has been verified as an effective means to guide the pedestrian during evacuation. The most critical mechanism with dynamic exit sign guidance is to balance the pedestrian flow on each exit route by optimizing the direction of signs.
Minghua Li +4 more
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Performance Analysis of D2D Underlying Cellular Networks Based on Dynamic Priority Queuing Model
IEEE Access, 2019 In this paper, we develop a spatiotemporal mathematical model for analyzing the performance of prioritized data transmissions in the device-to-device (D2D) underlaying cellular network.
Jianfang Xin +3 more
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Robust Communication Design in RIS-Assisted THz Channels [PDF]
IEEE Open Journal of the Communications SocietyTerahertz (THz) communication offers the necessary bandwidth to meet the high data rate demands of next-generation wireless systems. However, it faces significant challenges, including severe path loss, dynamic blockages, and beam misalignment, which ...
Yasemin Karacora +2 more
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Monitoring the Transmission of Data From Wearable Sensors Using Probabilistic Transfer Learning
IEEE AccessNew applications like activity tracking and healthcare monitoring depend on secure and timely data transfer using wearable sensors. This work aims to reduce data loss and latency when transmitting wearable sensor information to analysis terminals by ...
Omar Alruwaili +2 more
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Adaptive Priority Scheduling of Internet of Things Data for Disaster Management in Smart Cities
IEEE AccessIn the recent context of the emergence of smart cities, the massive amount of data generated by connected objects has led to unprecedented demands in terms of data transfer. The various constraints linked to their number, their characteristics, and their
Marie C. Pognon +2 more
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Modeling and simulation of dynamic lane reversal using a cell transmission model
Journal of Intelligent Transportation Systems / Taylor & Francis, 2021 In recent years, large-scale testing has begun for connected and autonomous driving, making it possible to implement the concept of Dynamic Lane Reversal (DLR), which can quickly shift lane directions to reflect instantaneous flow dynamics.
Q. Fu, Ye Tian, Jian Sun
semanticscholar +1 more source
Dynamic Response Characteristics of Fast Charging Station-EVs on Interaction of Multiple Vehicles
IEEE Access, 2020 In view of the existing problems that multiple vehicles interaction in the selection of fast charging stations for electric vehicles (EVs) and the equalizing the service capability by multiple stations game in station-EVs interaction, a dynamic response ...
Xiaoou Liu
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