Qiang Shang

Shandong University of Technology — China

Engineering · Physical Sciences

10h-index336citations20works1.72yr avg
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Research Topics

Traffic Prediction and Management Techniques(15), Traffic control and management(9), Transportation Planning and Optimization(4), Evaluation Methods in Various Fields(4), Anomaly Detection Techniques and Applications(3)

Publications20 total

Analysis of Influencing Factors of Urban Residents’ Travel Mode Choice Based on Qualitative and Quantitative Methods
2025
Traffic congestion recognition based on convolutional neural networks in different scenarios
Engineering Applications of Artificial Intelligence·2025· 2 cited
Traffic Flow Prediction Framework That Can Appropriately Process the Noise, Volatility, and Nonlinearity in Traffic Flow Data
International Journal of Intelligent Systems·2025Open Access
A hybrid model for missing traffic flow data imputation based on clustering and attention mechanism optimizing LSTM and AdaBoost
Scientific Reports·2024· 8 citedOpen Access
Occluded Multi-Scale Feature Fusion and Attention Mechanism for Facial Expression Recognition
2024
A Novel Hybrid Model for Short-Term Traffic Flow Prediction Based on Spatio-Temporal Deep Learning With Considering Associated Factors Selection
IEEE Access·2024Open Access
A Distracted Driving Detection Model Based On Driving Performance
IEEE Access·2023· 10 citedOpen Access
Prediction of Duration of Traffic Incidents by Hybrid Deep Learning Based on Multi-Source Incomplete Data
International Journal of Environmental Research and Public Health·2022· 15 citedOpen Access
Automated Traffic Incident Detection: Coping With Imbalanced and Small Datasets
IEEE Access·2022· 16 citedOpen Access
Correction to “A Hybrid Method for Traffic Incident Detection Using Random Forest-Recursive Feature Elimination and Long Short-Term Memory Network With Bayesian Optimization Algorithm”
IEEE Access·2021· 1 citedOpen Access
A Hybrid Model for Short‐Term Traffic Flow Prediction Based on Variational Mode Decomposition, Wavelet Threshold Denoising, and Long Short‐Term Memory Neural Network
Complexity·2021· 15 citedOpen Access
A Hybrid Method for Traffic Incident Detection Using Random Forest-Recursive Feature Elimination and Long Short-Term Memory Network With Bayesian Optimization Algorithm
IEEE Access·2020· 42 citedOpen Access
Advantages of bus stop skipping and holding control in reducing schedule deviation
Proceedings of the Institution of Civil Engineers - Municipal Engineer·2019· 8 cited
A Hybrid Method for Traffic Incident Duration Prediction Using BOA-Optimized Random Forest Combined with Neighborhood Components Analysis
Journal of Advanced Transportation·2019· 52 citedOpen Access
How to connect with each other between roads? An empirical study of urban road connection properties
Physica A Statistical Mechanics and its Applications·2018· 8 cited
An Imputation Method for Missing Traffic Data Based on FCM Optimized by PSO-SVR
Journal of Advanced Transportation·2018· 75 citedOpen Access
Traffic incident detection based on variable selection and kernel extreme learning machine
Journal of ZheJiang University (Engineering Science)·2017· 1 cited
A Hybrid Short-Term Traffic Flow Prediction Model Based on Singular Spectrum Analysis and Kernel Extreme Learning Machine
PLoS ONE·2016· 41 citedOpen Access
Short-term traffic flow prediction model using particle swarm optimization–based combined kernel function-least squares support vector machine combined with chaos theory
Advances in Mechanical Engineering·2016· 20 citedOpen Access
Short-Term Traffic Flow Local Prediction Based on Combined Kernel Function Relevance Vector Machine Model
Mathematical Problems in Engineering·2015· 22 citedOpen Access

Frequent Co-authors

Zhaosheng Yang(4), Song Gao(4), Longjiao Yin(4), Linlin Feng(3), Ciyun Lin(3), Qichun Bing(3), Xiyang Zhou(3), Tian Xie(3), Yingping Tang(3), Derong Tan(2), Kun Liu(2), Bowen Gong(1), Yang Yu(1), Yani Yu(1), Yu Yang(1), Bingxu Fu(1), Teng Sun(1), Shuo Jia(1), Shiguang Wang(1), Dexin Yu(1)