World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
32
Citations
6618
World Ranking
9509
National Ranking
2683

Overview

Benjamin Coifman is affiliated with The Ohio State University in the United States. Their research spans multiple fields and subfields within engineering and computer science, with particular focus on automotive engineering, building and construction, computer vision and pattern recognition, control and systems engineering, and transportation.

The scientist's publications primarily cover topics related to traffic prediction and management techniques, autonomous vehicle technology and safety, traffic control and management, video surveillance and tracking methods, transportation planning and optimization, vehicle emissions and performance, as well as anomaly detection techniques and applications.

Frequent coauthors collaborating with Benjamin Coifman include Wen Xiao, Lizhe Li, Balaji Ponnu, Jiaxing Zhang, and J. P. Mills.

Publication venues with multiple papers by Coifman include Transportation Research Part C Emerging Technologies and Transportation Research Part B Methodological. Other notable venues featuring their work are the IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Transactions on Intelligent Transportation Systems, and Sensors.

Recent papers authored or coauthored by Benjamin Coifman encompass the following:

  • "A New Method for Validating and Generating Vehicle Trajectories From Stationary Video Cameras" (2022) published in IEEE Transactions on Intelligent Transportation Systems
  • "Adjacent lane dependencies modulating wave velocity on congested freeways-An empirical study" (2020) published in Transportation Research Part B Methodological

Additional recent related works, though authored primarily by their coauthors, include:

  • "Vehicle Tracking and Speed Estimation From Roadside Lidar" (2020) published in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
  • "Using spatiotemporal stacks for precise vehicle tracking from roadside 3D LiDAR data" (2023) published in Transportation Research Part C Emerging Technologies
  • "Automated Traffic Surveillance Using Existing Cameras on Transit Buses" (2023) published in Sensors

Best Publications

  • A real-time computer vision system for vehicle tracking and traffic surveillance

    Benjamin Coifman;David Beymer;Philip McLauchlan;Jitendra Malik

  • A real-time computer vision system for measuring traffic parameters

    D. Beymer;P. McLauchlan;B. Coifman;J. Malik

  • Estimating travel times and vehicle trajectories on freeways using dual loop detectors

    Benjamin Coifman

  • Day-to-Day Travel-Time Trends and Travel-Time Prediction from Loop-Detector Data:

    Jaimyoung Kwon;Benjamin Coifman;Peter Bickel

  • A critical evaluation of the Next Generation Simulation (NGSIM) vehicle trajectory dataset

    Benjamin Coifman;Lizhe Li

  • Improved velocity estimation using single loop detectors

    Benjamin Coifman

  • Vehicle reidentification and travel time measurement on congested freeways

    Benjamin Coifman;Michael Cassidy

  • The PeMS algorithms for accurate, real-time estimates of g-factors and speeds from single-loop detectors

    Zhanfeng Jia;Chao Chen;B. Coifman;P. Varaiya

  • Roadway traffic monitoring from an unmanned aerial vehicle

    B Coifman;M McCord;R G Mishalani;M Iswalt

  • Speed estimation and length based vehicle classification from freeway single-loop detectors

    Benjamin A. Coifman;SeoungBum Kim

  • Vehicle Tracking and Speed Estimation From Roadside Lidar

    Jiaxing Zhang;Wen Xiao;Benjamin Coifman;Jon P. Mills

  • Using Dual Loop Speed Traps To Identify Detector Errors

    Benjamin Coifman

  • Vehicle Re-Identification and Travel Time Measurement in Real-Time on Freeways Using Existing Loop Detector Infrastructure

    Benjamin Coifman

  • ESTIMATING MEDIAN VELOCITY INSTEAD OF MEAN VELOCITY AT SINGLE LOOP DETECTORS

    Benjamin Coifman;Sudha Dhoorjaty;Zu-Hsu Lee

  • Vehicle reidentification and travel time measurement across freeway junctions using the existing detector infrastructure

    Benjamin Coifman;Sivaraman Krishnamurthy

  • Identifying the onset of congestion rapidly with existing traffic detectors

    Benjamin Coifman

  • Comparing INRIX speed data against concurrent loop detector stations over several months

    Seoungbum Kim;Benjamin Coifman

  • Relation Among Average Speed, Flow, and Density and Analogous Relation Between Density and Occupancy

    Michael J. Cassidy;Benjamin Coifman

  • Side-Fire Lidar-Based Vehicle Classification

    Ho Lee;Benjamin Coifman

  • Event Data-Based Traffic Detector Validation Tests

    Benjamin Coifman;Sudha Dhoorjaty

  • The Effect of Lane-Change Maneuvers on a Simplified Car-Following Theory

    Chao Wang;B. Coifman

  • ESTIMATING DENSITY AND LANE INFLOW ON A FREEWAY SEGMENT

    Benjamin Coifman

  • The Berkeley Highway Laboratory-building on the I-880 field experiment

    B. Coifman;D. Lyddy;A. Skabardonis

Frequent Co-Authors

Michael J. Cassidy
Michael J. Cassidy University of California, Berkeley
Pravin Varaiya
Pravin Varaiya University of California, Berkeley
Jitendra Malik
Jitendra Malik University of California, Berkeley
Umit Ozguner
Umit Ozguner The Ohio State University
Eylem Ekici
Eylem Ekici The Ohio State University
Stephen G. Ritchie
Stephen G. Ritchie University of California, Irvine
Mark Hansen
Mark Hansen University of California, Berkeley
Xiao-Yun Lu
Xiao-Yun Lu University of California, Berkeley
Peter J. Bickel
Peter J. Bickel University of California, Berkeley

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