World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
69
Citations
20176
World Ranking
1116
National Ranking
373

Overview

Yinhai Wang is affiliated with the University of Washington in the United States and has contributed extensively to research in engineering, specifically focusing on transportation and intelligent systems. Their work spans several subfields including building and construction, transportation, automotive engineering, control and systems engineering, and computer vision and pattern recognition.

The scientist's primary research topics include:

  • Traffic Prediction and Management Techniques
  • Traffic Control and Management
  • Transportation Planning and Optimization
  • Autonomous Vehicle Technology and Safety
  • Traffic and Road Safety
  • Advanced Neural Network Applications
  • Video Surveillance and Tracking Methods

Yinhai Wang has authored numerous papers, with notable recent publications such as:

  • "Stacked bidirectional and unidirectional LSTM recurrent neural network for forecasting network-wide traffic state with missing values," 2020, Transportation Research Part C Emerging Technologies
  • "Safe, efficient, and comfortable velocity control based on reinforcement learning for autonomous driving," 2020, Transportation Research Part C Emerging Technologies
  • "A Smart, Efficient, and Reliable Parking Surveillance System With Edge Artificial Intelligence on IoT Devices," 2020, IEEE Transactions on Intelligent Transportation Systems
  • "Forecasting Transportation Network Speed Using Deep Capsule Networks With Nested LSTM Models," 2020, IEEE Transactions on Intelligent Transportation Systems
  • "Graph Markov network for traffic forecasting with missing data," 2020, Transportation Research Part C Emerging Technologies

Their frequent co-authors include Zhiyong Cui, Ruimin Ke, Meixin Zhu, Ziyuan Pu, and Hao Yang, reflecting a collaborative research approach.

Wang's work has been published predominantly in venues such as IEEE Transactions on Intelligent Transportation Systems, arXiv (Cornell University), Transportation Research Part C Emerging Technologies, Journal of Transportation Engineering Part A Systems, and Transportation Research Record Journal of the Transportation Research Board.

The scientist has contributed to book publications with the Transportation Research Board eBooks, including "Update of Highway Capacity Manual: Merge, Diverge, and Weaving Methodologies" (2023) and "Traffic Modeling Document" (2023).

Best Publications

  • Long short-term memory neural network for traffic speed prediction using remote microwave sensor data

    Xiaolei Ma;Zhimin Tao;Yinhai Wang;Haiyang Yu

  • Traffic Graph Convolutional Recurrent Neural Network: A Deep Learning Framework for Network-Scale Traffic Learning and Forecasting

    Zhiyong Cui;Kristian Henrickson;Ruimin Ke;Yinhai Wang

  • Mining smart card data for transit riders’ travel patterns

    Xiaolei Ma;Yao Jan Wu;Yinhai Wang;Feng Chen

  • Stacked Bidirectional and Unidirectional LSTM Recurrent Neural Network for Forecasting Network-wide Traffic State with Missing Values

    Unknown

  • Large-scale transportation network congestion evolution prediction using deep learning theory.

    Xiaolei Ma;Haiyang Yu;Yunpeng Wang;Yinhai Wang

  • Human-like autonomous car-following model with deep reinforcement learning

    Meixin Zhu;Meixin Zhu;Meixin Zhu;Xuesong Wang;Xuesong Wang;Yinhai Wang

  • Deep Bidirectional and Unidirectional LSTM Recurrent Neural Network for Network-wide Traffic Speed Prediction.

    Zhiyong Cui;Ruimin Ke;Yinhai Wang

  • Safe, efficient, and comfortable velocity control based on reinforcement learning for autonomous driving

    Meixin Zhu;Meixin Zhu;Yinhai Wang;Ziyuan Pu;Jingyun Hu

  • An Improved Fuzzy Neural Network for Traffic Speed Prediction Considering Periodic Characteristic

    Jinjun Tang;Fang Liu;Yajie Zou;Weibin Zhang

  • Short-term traffic flow prediction based on spatio-temporal analysis and CNN deep learning

    Weibin Zhang;Yinghao Yu;Yong Qi;Feng Shu

  • Uncovering urban human mobility from large scale taxi GPS data

    Jinjun Tang;Jinjun Tang;Fang Liu;Yinhai Wang;Hua Wang

  • Real-Time Traffic Flow Parameter Estimation From UAV Video Based on Ensemble Classifier and Optical Flow

    Ruimin Ke;Zhibin Li;Jinjun Tang;Zewen Pan

  • Accessibility impacts of China’s high-speed rail network

    Jing Cao;Jing Cao;Xiaoyue Cathy Liu;Yinhai Wang;Qingquan Li;Qingquan Li

  • Multistep speed prediction on traffic networks: A deep learning approach considering spatio-temporal dependencies

    Zhengchao Zhang;Meng Li;Xi Lin;Yinhai Wang;Yinhai Wang

  • A hybrid approach to integrate fuzzy C-means based imputation method with genetic algorithm for missing traffic volume data estimation

    Jinjun Tang;Guohui Zhang;Yinhai Wang;Yinhai Wang;Hua Wang

  • Estimating the risk of collisions between bicycles and motor vehicles at signalized intersections.

    Yinhai Wang;Nancy L. Nihan

  • Video-Based Vehicle Detection and Classification System for Real-Time Traffic Data Collection Using Uncalibrated Video Cameras

    Guohui Zhang;Ryan Patrick Avery;Yinhai Wang

  • A Smart, Efficient, and Reliable Parking Surveillance System With Edge Artificial Intelligence on IoT Devices

    Ruimin Ke;Yifan Zhuang;Ziyuan Pu;Yinhai Wang

  • An Advanced Method For Detecting Possible Near Miss Ship Collisions From AIS Data

    Weibin Zhang;Floris Goerlandt;Pentti Kujala;Yinhai Wang

  • Traffic Graph Convolutional Recurrent Neural Network: A Deep Learning Framework for Network-Scale Traffic Learning and Forecasting

    Zhiyong Cui;Kristian Henrickson;Ruimin Ke;Ziyuan Pu

  • Profit distribution in collaborative multiple centers vehicle routing problem

    Yong Wang;Xiaolei Ma;Zhibin Li;Yong Liu

  • Extracting Roadway Background Image: Mode-Based Approach

    Jianyang Zheng;Yinhai Wang;Nancy L Nihan;Mark E Hallenbeck

  • Vehicle Routing Problem: Simultaneous Deliveries and Pickups with Split Loads and Time Windows

    Yong Wang;Xiaolei Ma;Yunteng Lao;Yinhai Wang

Frequent Co-Authors

Jinjun Tang
Jinjun Tang Central South University
Yong Wang
Yong Wang Nanjing University
Nagui M. Rouphail
Nagui M. Rouphail North Carolina State University
Xuesong Wang
Xuesong Wang Shanghai Mental Health Center
Qingquan Li
Qingquan Li Shenzhen University
Xianming Shi
Xianming Shi University of Miami
Dominique Lord
Dominique Lord Texas A&M University
Nicolas Saunier
Nicolas Saunier Polytechnique Montréal
Jiuping Xu
Jiuping Xu Sichuan University
Timothy V. Larson
Timothy V. Larson University of Washington

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