ScholarIQanswers from OpenAlex
Traffic Prediction and Management Techniques
TopicLeading institutions, researchers & key papers
Traffic Prediction and Management Techniques is a topic indexed in ScholarIQ from OpenAlex.
What is known about Traffic Prediction and Management Techniques?
ScholarIQrecord summary
This cluster of papers focuses on the application of deep learning, neural networks, and spatio-temporal data analysis for traffic flow prediction and forecasting in urban environments. The research covers topics such as short-term forecasting, graph convolutional networks, time series analysis, and the integration of intelligent transportation systems.
How many works does Traffic Prediction and Management Techniques have?
ScholarIQindexed works
Traffic Prediction and Management Techniques has 95 works in the ScholarIQ index. The count is the OpenAlex total, not the number of papers listed on this page.
What is the OpenAlex record for Traffic Prediction and Management Techniques?
ScholarIQopenalex
The OpenAlex for Traffic Prediction and Management Techniques is on the source record.
What are the most-cited papers on Traffic Prediction and Management Techniques?
ScholarIQmost cited works
Graph neural network for traffic forecasting: A survey
Weiwei Jiang, Jiayun Luo
Spatiotemporal Multi-Graph Convolution Network for Ride-Hailing Demand Forecasting
Geng Xu, Yaguang Li, Leye Wang, Lingyu Zhang, Qiang Yang, Jieping Ye, Yan Liu
Automatic congestion detection system for underground platforms
Benny Lo, Sergio A. Velastín
LC-RNN: A Deep Learning Model for Traffic Speed Prediction
Zhongjian Lv, Jiajie Xu, Kai Zheng, Hongzhi Yin, Pengpeng Zhao, Xiaofang Zhou
Detection of flood disaster system based on IoT, big data and convolutional deep neural network
M. Anbarasan, BalaAnand Muthu, C. B. Sivaparthipan, Revathi Sundarasekar, Seifedine Kadry, Sujatha Krishnamoorthy, R. Dinesh Jackson Samuel, A. Antony Dasel
Where is Traffic Prediction and Management Techniques research published, and who funds it?
ScholarIQvenues & funding sources
TOP JOURNALS
TOP FUNDERS
National Science Foundation—
NIH—
Wellcome Trust—
European Research Council—
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How much of the research on Traffic Prediction and Management Techniques is open access?
ScholarIQopen access share
53%OPEN ACCESS