Do Heavy Vehicles Always Have a Negative Effect on Traffic Flow? by Chang-Gyun Roh, Hyeonmyeong Jeon, Bongsoo Son

“…In other words, it was found that within the traffic group that formed the same platoon, individual vehicles were forced to form similar speeds, resulting in a homogeneous rate. …”
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Dependencies between Demographic Urbanization and the Agglomeration Road Traffic Volumes: Evidence from Poland by Maciej Kruszyna, Przemysław Śleszyński, Jeremi Rychlewski

“…The best correlation occurred between an intensity of cars leaving the center of an agglomeration in the afternoon rush hour (as a traffic group variable), with the total population, the number of economically active people, and the number of dwellings in the surrounding areas (being population group variables). …”
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Impact of Static Urban Traffic Flow-Based Traffic Weighted Multi-Maps Routing Strategies on Pollutant Emissions by Alvaro Paricio-Garcia, Miguel A. Lopez-Carmona

“…Previous works have focused on TWM generation by creating optimal edge weights, but the complexity exponentially increases with the network size and traffic group diversity. This work describes how congestion and emissions can be addressed using TWM maps based on the k-shortest paths for the traffic flows (instead of individuals) that are optimally assigned and distributed to the components of the traffic flow. …”
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Research on Equalization of Public Transportation Services Based on Perspective of Groups – A Case Study of Beijing by Liu Ruijiao, Tong Qiong, Tian Jin

“…Based on the travel benefit values of the three groups, the benefit compensation for disadvantaged traffic groups is considered, benefit compensation factors are introduced, the degree of equalization is evaluated based on the Wilson entropy model, and the level of equalization among public transportation service groups in Beijing is empirically studied to find out an important indicator that restricts the level of equalization.…”
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Analysis of the technological dairy cows traffic "to and from" herringbone milking parlors by K. Peychev, D. Georgiev, V. Dimova, V. Georgieva

“…The most likely reason is the difference in illumination between the two milking platforms, and also direction of the exit traffic. Groups of cows who turned at 180˚ had longer exit time, irrespective of the shorter distance covered. …”
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A machine learning-based intrusion detection for detecting internet of things network attacks by Yakub Kayode Saheed, Aremu Idris Abiodun, Sanjay Misra, Monica Kristiansen Holone, Ricardo Colomo-Palacios

“…This dataset is a mixture of contemporary attacks and normal activities of network traffic grouped into nine different attack types. In the next stage, dimensionality reduction was performed with Principal Component Analysis (PCA). …”
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