Visualization model of big data based on self-organizing feature map neural network and graphic theory for smart cities
Sign Up to like & getrecommendations! Published in 2018 at "Cluster Computing"
DOI: 10.1007/s10586-018-1848-1
Abstract: The process of current urban and accelerating the number of motor vehicles increased rapidly resulting in road traffic pressure is increasing, we need to analyze large data traffic in the city, to guide urban road… read more here.
Keywords: traffic; based self; visualization model; self organizing ... See more keywords
Visual analysis of traffic data based on topic modeling (ChinaVis 2017)
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Visualization"
DOI: 10.1007/s12650-018-0481-7
Abstract: The spatio-temporal urban movement patterns can be extracted from the massive trajectory data recorded by GPS devices. Effectively analyzing the massive and complex traffic data and then finding useful information hidden in such data constitute… read more here.
Keywords: traffic; visual analysis; traffic data; semantics ... See more keywords
Traffic inputs for pavement ME design using Oklahoma data
Sign Up to like & getrecommendations! Published in 2019 at "International Journal of Pavement Research and Technology"
DOI: 10.1007/s42947-019-0020-5
Abstract: Mechanistic-empirical pavement design guide (MEPDG) or Pavement ME Design requires traffic inputs in three levels based on the availability of data and the importance of the project. The availability of site-specific (Level 1) traffic data… read more here.
Keywords: traffic; traffic inputs; traffic data; pavement design ... See more keywords
Non-recurrent Traffic Congestion Detection with a Coupled Scalable Bayesian Robust Tensor Factorization Model
Sign Up to like & getrecommendations! Published in 2021 at "Neurocomputing"
DOI: 10.1016/j.neucom.2020.10.091
Abstract: Non-recurrent traffic congestion (NRTC) usually brings unexpected delays to commuters. Hence, it is critical to accurately detect and recognize the NRTC in a real-time manner. The advancement of road traffic detectors and loop detectors provides… read more here.
Keywords: traffic; framework; tensor; bayesian robust ... See more keywords
Innovative method for traffic data imputation based on convolutional neural network
Sign Up to like & getrecommendations! Published in 2018 at "IET Intelligent Transport Systems"
DOI: 10.1049/iet-its.2018.5114
Abstract: The quality of traffic data is crucial for modern transportation planning and operations. However, data could be missing for various reasons. Hence, the data imputation approaches which aim at predicting/replacing the missing data or bad… read more here.
Keywords: traffic data; data imputation; method; convolutional neural ... See more keywords
Adaptive learning on mobile network traffic data
Sign Up to like & getrecommendations! Published in 2019 at "Connection Science"
DOI: 10.1080/09540091.2018.1512557
Abstract: ABSTRACT Machine learning based mobile traffic classification has become a popular topic in recent years. As mobile traffic data is dynamic in nature, the static model has become ineffective for the task of classifying future… read more here.
Keywords: concept drift; traffic; classification; model ... See more keywords
The effect of traffic data source on deterioration rates of heavy-duty flexible pavements
Sign Up to like & getrecommendations! Published in 2018 at "International Journal of Pavement Engineering"
DOI: 10.1080/10298436.2016.1240562
Abstract: Abstract The purpose of this study is to assess the effect of traffic data source (estimated vs. actual) on predicted progression rates of roughness and rutting for heavy-duty flexible pavements of rural freeways. Progression rates… read more here.
Keywords: traffic; deterioration; data source; heavy duty ... See more keywords
Nonlinear Traffic Data Reconstruction in large-scale Internet of Vehicle Systems: A neural network approach
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3160464
Abstract: Multi-Access Edge Computing (MEC) can reduce transmission costs and provide faster interactive responses in cloud server-centric Internet of Vehicle (IoV) scenarios. However, the resource space of MEC server is limited, and the large amount of… read more here.
Keywords: neural network; internet vehicle; traffic; reconstruction ... See more keywords
Missing Traffic Data Imputation for Artificial Intelligence in Intelligent Transportation Systems: Review of Methods, Limitations, and Challenges
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3264216
Abstract: Missing data in Intelligent Transportation Systems (ITS) could lead to possible errors in the analyses of traffic data. Applying Artificial Intelligence (AI) in these circumstances can mitigate such problems. Past works focused only on specific… read more here.
Keywords: missing data; intelligent transportation; traffic; traffic data ... See more keywords
6G-Enabled Short-Term Forecasting for Large-Scale Traffic Flow in Massive IoT Based on Time-Aware Locality-Sensitive Hashing
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2020.3037669
Abstract: With the advent of the Internet of Things (IoT) and the increasing popularity of the intelligent transportation system, a large number of sensing devices are installed on the road for monitoring traffic dynamics in real… read more here.
Keywords: time; traffic data; large scale; massive iot ... See more keywords
Multi-Source Traffic Data Reconstruction Using Joint Low-Rank and Fundamental Diagram Constraints
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Intelligent Transportation Systems Magazine"
DOI: 10.1109/mits.2019.2919529
Abstract: Accurate and complete traffic information plays an important role in traffic monitoring, traffic state estimation and prediction in all intelligent transportation systems. However, in practice, data provided from various types of traffic sensors may suffer… read more here.
Keywords: multi source; reconstruction; traffic data; source traffic ... See more keywords