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D-Index & Metrics

Engineering and Technology

D-Index
65
Citations
15858
World Ranking
1529
National Ranking
500

Overview

Bin Ran is affiliated with the University of Wisconsin-Madison in the United States. Their work spans multiple aspects of transportation engineering and control systems, with a strong focus on traffic management, autonomous vehicle technology, and transportation planning.

Bin Ran's recent publications include the following papers:

  • Connected automated vehicle cooperative control with a deep reinforcement learning approach in a mixed traffic environment, 2021, Transportation Research Part C Emerging Technologies
  • Exploring AIS data for intelligent maritime routes extraction, 2020, Applied Ocean Research
  • Integrated Schedule and Trajectory Optimization for Connected Automated Vehicles in a Conflict Zone, 2020, IEEE Transactions on Intelligent Transportation Systems
  • Automated traffic incident detection with a smaller dataset based on generative adversarial networks, 2020, Accident Analysis & Prevention
  • Differential variable speed limits control for freeway recurrent bottlenecks via deep actor-critic algorithm, 2020, Transportation Research Part C Emerging Technologies

Frequent co-authors who have collaborated with Bin Ran include:

  • Haotian Shi
  • Yang Zhou
  • Keshu Wu
  • Xu Qu
  • Linheng Li

Bin Ran has contributed extensively to several publication venues, with the following being the most frequent:

  • IEEE Transactions on Intelligent Transportation Systems
  • arXiv (Cornell University)
  • SSRN Electronic Journal
  • Transportation Research Part C Emerging Technologies
  • Physica A Statistical Mechanics and its Applications

The main fields of study for Bin Ran's research are:

  • Engineering
  • Social Sciences

Subfields within their research portfolio include:

  • Control and Systems Engineering
  • Transportation
  • Building and Construction
  • Automotive Engineering
  • Safety, Risk, Reliability and Quality

Key topics covered by Bin Ran span across:

  • Traffic control and management
  • Transportation Planning and Optimization
  • Traffic Prediction and Management Techniques
  • Autonomous Vehicle Technology and Safety
  • Traffic and Road Safety
  • Human Mobility and Location-Based Analysis
  • Vehicular Ad Hoc Networks (VANETs)

Best Publications

  • A hybrid deep learning based traffic flow prediction method and its understanding

    Yuankai Wu;Huachun Tan;Lingqiao Qin;Bin Ran

  • Dynamic Urban Transportation Network Models: Theory and Implications for Intelligent Vehicle-Highway Systems

    Bin Ran;David E. Boyce

  • A method of providing travel time predictions

    Bin Ran

  • MODELING DYNAMIC TRANSPORTATION NETWORKS

    Bin Ran;David Boyce

  • Dynamic passenger demand oriented metro train scheduling with energy-efficiency and waiting time minimization: Mixed-integer linear programming approaches

    Jiateng Yin;Lixing Yang;Tao Tang;Ziyou Gao

  • A new class of instantaneous dynamic user-optimal traffic assignment models

    Bin Ran;David E. Boyce;Larry J. LeBlanc

  • Energy-efficient metro train rescheduling with uncertain time-variant passenger demands: An approximate dynamic programming approach

    Jiateng Yin;Tao Tang;Lixing Yang;Ziyou Gao

  • Exploring the Factors Affecting Mode Choice Intention of Autonomous Vehicle Based on an Extended Theory of Planned Behavior—A Case Study in China

    Unknown

  • Modeling Dynamic Transportation Networks: An Intelligent Transportation System Oriented Approach

    Bin Ran;David E. Boyce

  • Short-Term Traffic Prediction Based on Dynamic Tensor Completion

    Huachun Tan;Yuankai Wu;Bin Shen;Peter J. Jin

  • A dynamic lane-changing trajectory planning model for automated vehicles

    Da Yang;Da Yang;Shiyu Zheng;Cheng Wen;Peter J. Jin

  • Use of Local Linear Regression Model for Short-Term Traffic Forecasting

    Hongyu Sun;Henry X. Liu;Heng Xiao;Rachel R. He

  • Central processing and combined central and local processing of personalized real-time traveler information over internet/intranet

    Bin Ran;Jing Li

  • Day-ahead traffic flow forecasting based on a deep belief network optimized by the multi-objective particle swarm algorithm

    Linchao Li;Linchao Li;Lingqiao Qin;Xu Qu;Jian Zhang

  • Missing Value Imputation for Traffic-Related Time Series Data Based on a Multi-View Learning Method

    Linchao Li;Jian Zhang;Yonggang Wang;Bin Ran

  • Dynamic Driving Risk Potential Field Model Under the Connected and Automated Vehicles Environment and Its Application in Car-Following Modeling

    Linheng Li;Jing Gan;Xinkai Ji;Xu Qu

  • Short Term Traffic Forecasting Using the Local Linear Regression Model

    Hongyu Sun;Henry X. Liu;Heng Xiao;Bin Ran

  • A link-based variational inequality model for dynamic departure time/route choice

    Bin Ran;Randolph W Hall;David E Boyce

  • Developing a Dynamic Traffic Management Modeling Framework for Hurricane Evacuation

    Bridget Barrett;Bin Ran;Rekha Pillai

  • Autonomous Vehicle-Intersection Coordination Method in a Connected Vehicle Environment

    Peiqun Lin;Jiahui Liu;Peter J. Jin;Bin Ran

  • Tensor based missing traffic data completion with spatial–temporal correlation

    Bin Ran;Huachun Tan;Yuankai Wu;Peter J. Jin

  • Cycle-by-cycle queue length estimation for signalized intersections using sampled trajectory data

    Yang Cheng;Xiao Qin;Jing Jin;Bin Ran

  • An Exploratory Shockwave Approach to Estimating Queue Length Using Probe Trajectories

    Yang Cheng;Xiao Qin;Jing Jin;Bin Ran

Frequent Co-Authors

David E. Boyce
David E. Boyce Northwestern University
Henry X. Liu
Henry X. Liu University of Michigan–Ann Arbor
Jeffrey S. Russell
Jeffrey S. Russell University of Wisconsin–Madison
Michael C. Ferris
Michael C. Ferris University of Wisconsin–Madison
Lixing Yang
Lixing Yang Beijing Jiaotong University
Tao Tang
Tao Tang Beijing Jiaotong University
Der-Horng Lee
Der-Horng Lee Zhejiang University
Pitu B. Mirchandani
Pitu B. Mirchandani Arizona State University
Limin Jia
Limin Jia Beijing Jiaotong University
Helai Huang
Helai Huang Central South University

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