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Open data and quantitative techniques for anthropology of road traffic
What kind of questions about human mobility can computational analysis help answer? How to translate the findings into anthropology? We analyzed a...
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Balancing fairness and efficiency in traffic routing via interpolated traffic assignment
System optimum (SO) routing, wherein the total travel time of all users is minimized, is a holy grail for transportation authorities. However, SO...
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Traffic prediction for diverse edge IoT data using graph network
More researchers are proposing artificial intelligence algorithms for Internet of Things (IoT) devices and applying them to themes such as smart...
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Price of anarchy of traffic assignment with exponential cost functions
The rapid evolution of technology in connected automated and autonomous vehicles offers immense potential for revolutionizing future intelligent...
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Foresight plus: serverless spatio-temporal traffic forecasting
Building a real-time spatio-temporal forecasting system is a challenging problem with many practical applications such as traffic and road network...
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Identify spatio-temporal properties of network traffic by model checking
Cellular networks have been widely deployed and are under ever-growing pressure from increasing energy consumption. Identifying the spatio-temporal...
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Detection, characterization, and profiling DoH Malicious traffic using statistical pattern recognition
The domain name system (DNS) protocol has been used for over three decades. It plays a vital role in the functioning of the Internet by facilitating...
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A lightweight method for small scale traffic sign detection based on YOLOv4-Tiny
Automatic driving requires real-time consideration for traffic sign target detection algorithms while ensuring the accuracy. However, the current...
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Traffic and Pollution Modelling for Air Quality Awareness: An Experience in the City of Zaragoza
Air pollution due to the presence of small particles and gases in the atmosphere is a major cause of health problems. In urban areas, where most of...
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An adaptive traffic flow prediction model based on spatiotemporal graph neural network
The traffic flow prediction task is essential to the urban intelligent transportation system. Due to the complex correlation of traffic flow data,...
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A lightweight vehicle mounted multi-scale traffic sign detector using attention fusion pyramid
Intelligent Transportation System (ITS) aims to strengthen the connection between vehicles, roads, and people. As the important road information in...
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Spatial-temporal graph neural network based on gated convolution and topological attention for traffic flow prediction
Accurate traffic flow prediction is essential for develo** intelligent transportation systems (ITS) and providing real-time traffic applications....
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A period-extracted multi-featured dynamic graph convolution network for traffic demand prediction
Urban online car-hailing demand prediction poses a significant challenge in develo** intelligent transportation systems due to its intricate and...
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Improved traffic sign recognition system (itsrs) for autonomous vehicle based on deep convolutional neural network
Due to the considerable number of deaths and vehicle accidents caused by a driver’s inattention, as reported by WHO, automobile manufacturers are...
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The short-term prediction of daily traffic volume for rural roads using shallow and deep learning networks: ANN and LSTM
Predicting daily traffic volume in the short term is of great importance for rural roads since it assists in relieving congestion, trip planning, and...
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An ensemble framework for detection of DNS-Over-HTTPS (DOH) traffic
Domain Name System (DNS) is a fundamental protocol and backbone of the internet that translates domain names to Internet Protocol (IP) addresses....
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An improved hash algorithm for monitoring network traffic in the internet of things
With the prompt development of network technology, Internet of Things (IoT), and the speedy enhancement of network performance, numerous network...
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Research on the improvement of transportation efficiency of smart city by traffic visualization based on pattern recognition
In order to improve the traffic visualization management technology of smart cities, this paper applies machine learning to smart traffic management,...
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LDoS attack traffic detection based on feature optimization extraction and DPSA-WGAN
Low-rate Denial of Service (LDoS) attacks cause severe destructiveness to network security. Moreover, they are more difficult to detect because they...
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Research on Short-Term Traffic Flow Forecast Based on Improved Cuckoo Search Algorithm
In recent years, the traffic flow in big cities has increased significantly, and the development of intelligent transportation systems (ITS) has...