Results 41 to 50 of about 3,312,575 (362)
IEEE transactions on intelligent transportation systems (Print), 2021 Accurate short-time traffic flow prediction has gained gradually increasing importance for traffic plan and management with the deployment of intelligent transportation systems (ITSs).
Haifeng Zheng +3 more
semanticscholar +1 more source
IEEE Access, 2020 With the increase in traffic accident rates, traffic risk detection is becoming increasingly important. Moreover, it is necessary to provide appropriate traffic information considering user locations and routes and design an analysis method accordingly ...
Min-Jeong Kim +2 more
doaj +1 more source
IEEE Internet of Things Journal, 2021 Identification of anomaly and malicious traffic in the Internet-of-Things (IoT) network is essential for the IoT security to keep eyes and block unwanted traffic flows in the IoT network.
M. Shafiq +4 more
semanticscholar +1 more source
A Survey of Traffic Prediction: from Spatio-Temporal Data to Intelligent Transportation
Data Science and Engineering, 2021 Intelligent transportation (e.g., intelligent traffic light) makes our travel more convenient and efficient. With the development of mobile Internet and position technologies, it is reasonable to collect spatio-temporal data and then leverage these data ...
Haitao Yuan, Guoliang Li
semanticscholar +1 more source
Traffic Grooming on the Path [PDF]
Theoretical Computer Science, 2005 AbstractIn a WDM network, routing a request consists in assigning it a route in the physical network and a wavelength. If each request uses at most 1/C of the bandwidth of the wavelength, we will say that the grooming factor is C. That means that on a given edge of the network we can groom (group) at most C requests on the same wavelength.
Bermond, Jean-Claude +2 more
openaire +5 more sources
Learning Traffic as Images: A Deep Convolutional Neural Network for Large-Scale Transportation Network Speed Prediction [PDF]
Italian National Conference on Sensors, 2017 This paper proposes a convolutional neural network (CNN)-based method that learns traffic as images and predicts large-scale, network-wide traffic speed with a high accuracy. Spatiotemporal traffic dynamics are converted to images describing the time and
Xiaolei Ma +5 more
semanticscholar +1 more source
Transport, 2012 The human factor is one of the most dominant causes of railway accidents. For example, human impact appears to be the main reason for 44% of railway accidents in the Republic of Serbia. Thus, a remarkable effort is undertaken to investigate human factors.
Milan Marković +2 more
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Creeping Bentgrass Fairway Wear Resistance by Granular Topdressing of Ca/Mg-rich Liming Agents
Agriculture, 2020 Depletion of extractable silicon (Si) from surface soil depths has been observed in managed production systems. While not characterized as a plant essential nutrient, Si accrues in epidermal and vascular tissue of monocotyledonous plants.
Derek T. Pruyne +2 more
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Charging and rate control for elastic traffic
Transactions on Emerging Telecommunications Technologies, 1997 This paper addresses the issues of charging, rate control and routing for a communication network carrying elastic traffic, such as an ATM network offering an available bit rate service.
F. Kelly
semanticscholar +1 more source
The accumulation of metals in Polygonum aviculare L. in area of the Kraljevo city [PDF]
Kragujevac Journal of Science, 2014 Elevated heavy metal concentrations cause environmental pollution. Our study examines the content of heavy metals (Pb, Ni, Mn, Fe and Cu) in the aboveground parts of Polygonum aviculare L.
Radulović Monika +4 more
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