scholarly journals Location Prediction Model Based on the Internet of Vehicles for Assistance to Medical Vehicles

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 10754-10767
Author(s):  
Jiujun Cheng ◽  
Huaichen Yan ◽  
Aiguo Zhou ◽  
Chunmei Liu ◽  
Ding Cheng ◽  
...  
Keyword(s):  
Prediction Model ◽  
The Internet ◽  
Location Prediction ◽  
Internet Of Vehicles ◽  
Model Based

scholarly journals A Markov Chain Position Prediction Model Based on Multidimensional Correction

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Sijia Chen ◽  
Jian Zhang ◽  
Fanwei Meng ◽  
Dini Wang
Keyword(s):  
Markov Chain ◽  
Prediction Model ◽  
Location Prediction ◽  
Low Carbon ◽  
Model Based ◽  
Order Markov Chain ◽  
Position Sequence ◽  
Position Prediction ◽  
Location Based Social Networks ◽  
Green System

User location prediction in location-based social networks can predict the density of people flow well in terms of intelligent transportation, which can make corresponding adjustments in time to make traffic smooth, reduce fuel consumption, reduce greenhouse gas emissions, and help build a green cycle low-carbon transportation green system. This paper proposes a Markov chain position prediction model based on multidimensional correction (MDC-MCM). Firstly, extract corresponding information from the user’s historical check-in position sequence as a position-position conversion map. Secondly, the influence of check-in period, space distance, and other factors on the position prediction is linearly weighted and merged with the position prediction of the n-order Markov chain to construct MDC-MCM. Finally, we conduct a comprehensive performance evaluation of MDC-MCM using the dataset collected from Brightkite. Experimental results show that compared with other advanced location prediction technologies, MDC-MCM achieves better location prediction results.

An adaptive location prediction model based on fuzzy control

2011 ◽  
Vol 34 (7) ◽  
pp. 816-834 ◽  
Author(s):  
Theodoros Anagnostopoulos ◽  
Christos Anagnostopoulos ◽  
Stathes Hadjiefthymiades
Keyword(s):  
Fuzzy Control ◽  
Prediction Model ◽  
Location Prediction ◽  
Model Based

scholarly journals Analysis of Influencing Factors of PM2.5 Concentration and Design of a Pollutant Diffusion Model Based on an Artificial Neural Network in the Environment of the Internet of Vehicles

2021 ◽  
Vol 2021 ◽  
pp. 1-15
Author(s):  
Sumin Li ◽  
Xiuqin Pan ◽  
Qian Li
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Influencing Factors ◽  
Diffusion Model ◽  
The Internet ◽  
Internet Of Vehicles ◽  
Model Based ◽  
Artificial Neural ◽  
Vehicle Network ◽  
Pollutant Diffusion

With the development of the automobile industry, artificial intelligence, big data, 5G, and other technologies, the Internet of Vehicles (IoV) industry has entered a stage of rapid development. In this paper, a pollutant diffusion model based on an artificial neural network is designed in the context of a vehicle network. The application of artificial neural networks in haze prediction is studied. This paper first analyzes the causes and influencing factors of haze and selects the most representative and relatively large meteorological factors from temperature, wind, relative humidity, and several pollutant factors. Through training and simulation, a haze prediction model in the Beijing, Tianjin, and Hebei regions of China is established. Finally, according to the collected meteorological data, the pollutant diffusion model is established. The model is deduced by a standard mathematical formula, which makes the prediction results more accurate and rigorous, and the main conclusions and feasible scientific suggestions are obtained. The simulation results show that the method is effective. By strengthening the service system of the IoV, meteorological services can be more intelligent, and the information acquisition and service ability of the vehicle network can be effectively improved.

Location Prediction Model Based on Bayesian Network Theory

2009 ◽  
Author(s):  
Yucheng Zhang ◽  
Jinglong Hu ◽  
Jiangtao Dong ◽  
Yao Yuan ◽  
Jihua Zhou ◽  
...  
Keyword(s):  
Prediction Model ◽  
Bayesian Network ◽  
Network Theory ◽  
Location Prediction ◽  
Model Based

Online Prediction Model Based on New Kernel Method

2014 ◽  
Vol 7 (1) ◽  
pp. 107
Author(s):  
Ilyes Elaissi ◽  
Okba Taouali ◽  
Messaoud Hassani
Keyword(s):  
Prediction Model ◽  
Kernel Method ◽  
Model Based ◽  
Online Prediction
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