AIMC Topic: Transportation
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An Efficient Short-Term Traffic Speed Prediction Model Based on Improved TCN and GCN.
Sensors (Basel, Switzerland)
Oct 11, 2021
Timely and accurate traffic speed predictions are an important part of the Intelligent Transportation System (ITS), which provides data support for traffic control and guidance. The speed evolution process is closely related to the topological struct...
Path Driven Dual Arm Mobile Co-Manipulation Architecture for Large Part Manipulation in Industrial Environments.
Sensors (Basel, Switzerland)
Oct 5, 2021
Collaborative part transportation is an interesting application as many industrial sectors require moving large parts among different areas of the workshops, using a large amount of the workforce on this tasks. Even so, the implementation of such kin...
Edge AI-Based Automated Detection and Classification of Road Anomalies in VANET Using Deep Learning.
Computational intelligence and neuroscience
Sep 29, 2021
Road surface defects are crucial problems for safe and smooth traffic flow. Due to climate changes, low quality of construction material, large flow of traffic, and heavy vehicles, road surface anomalies are increasing rapidly. Detection and repairin...
Short-Term Traffic State Prediction Based on the Critical Road Selection Optimization in Transportation Networks.
Computational intelligence and neuroscience
Aug 30, 2021
Short-term traffic prediction under corrupted or missing data for large-scale transportation networks has become an important and challenging topic in recent decades. Since the critical roads have predictive power on their adjacent roads, this paper ...
Research on the evolution and driving forces of the manufacturing industry during the "13th five-year plan" period in Jiangsu province of China based on natural language processing.
PloS one
Aug 18, 2021
The development of China's manufacturing industry has received global attention. However, research on the distribution pattern, changes, and driving forces of the manufacturing industry has been limited by the accessibility of data. This study propos...
Attention-Based Multi-Scale Convolutional Neural Network (A+MCNN) for Multi-Class Classification in Road Images.
Sensors (Basel, Switzerland)
Jul 29, 2021
Automated pavement distress recognition is a key step in smart infrastructure assessment. Advances in deep learning and computer vision have improved the automated recognition of pavement distresses in road surface images. This task remains challengi...
Integration of Context Awareness in Smart Service Provision System Based on Wireless Sensor Networks for Sustainable Cargo Transportation.
Sensors (Basel, Switzerland)
Jul 29, 2021
Smart service provision systems can assist in the management of cargo transportation. The development of these systems faces a number of issues that relate to the analysis of numerous factors, which are influenced by the properties of such complex an...
Driving Behaviour Analysis Using Machine and Deep Learning Methods for Continuous Streams of Vehicular Data.
Sensors (Basel, Switzerland)
Jul 9, 2021
In the last few decades, vehicles are equipped with a plethora of sensors which can provide useful measurements and diagnostics for both the vehicle's condition as well as the driver's behaviour. Furthermore, the rapid increase for transportation nee...
Clustered embedding using deep learning to analyze urban mobility based on complex transportation data.
PloS one
Apr 20, 2021
Urban mobility is a vital aspect of any city and often influences its physical shape as well as its level of economic and social development. A thorough analysis of mobility patterns in urban areas can provide various benefits, such as the prediction...
Pythagorean fuzzy AHP based risk assessment methodology for hazardous material transportation: an application in Istanbul.
Environmental science and pollution research international
Mar 6, 2021
Environment and social life are open to hazards, because of the distribution, diffusion, and conversion processes of chemicals contained in hazardous materials. These chemicals are very dangerous. Various precautions should be taken into consideratio...
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