PUBLICATIONS – Topical listing

Sorted by Topic

Traffic Flow Theory

  • Coifman, B., “Microscopic Discontinuities Disrupting Hydrodynamic and Continuum Traffic Flow Models,” Transportation Research Part B. Vol. 189, 2024. https://doi.org/10.1016/j.trb.2024.103068 [PDF draft]
  • Coifman, B., Li, L., “Partial Trajectory Method to Align and Validate Successive Video Cameras for Vehicle Tracking,” Transportation Research Part C. Vol. 158, 2024. https://doi.org/10.1016/j.trc.2023.104416 [PDF draft] [Data set] [supplementary data coming soon]
  • Coifman, B., Ponnu, B., El Asmar, P., “LWR and Shockwave Analysis- Failures Under a Concave Fundamental Diagram and Unexpected Induced Disturbances,” Transportation Research Part A, Vol 175, 2023. doi: 10.1016/j.tra.2023.103766. [PDF draft]
  • Coifman, B., Ponnu, B., “Adjacent Lane Dependencies Modulating Wave Velocity on Congested Freeways- An Empirical Study,” Transportation Research Part B, Vol 142, 2020, pp 84-99. [PDF draft]
  • Coifman, B., Li, L., Xiao, W., “Resurrecting the Lost Vehicle Trajectories of Treiterer and Myers with New Insights into a Controversial Hysteresis,” Transportation Research Record, 2018, 14p. [PDF draft] [Data set]
  • Coifman, B., Li, L., “A Critical Evaluation of the Next Generation Simulation (NGSIM) Vehicle Trajectory Dataset,” Transportation Research Part B. Vol. 105, 2017, pp 362-377. [PDF draft] [Data set] [Video Example]
  • Ponnu, B., Coifman, B. “When Adjacent Lane Dependencies Dominate the Uncongested Regime of the Fundamental Relationship,” Transportation Research Part B. Vol. 104, 2017, pp 602-615. [PDF draft]
  • Coifman, B., Wu, M., Redmill, K., Thornton, D. “Collecting Ambient Vehicle Trajectories from an Instrumented Probe Vehicle- High Quality Data for Microscopic Traffic Flow Studies,” Transportation Research Part C, Vol 72, 2016, pp 254-271. [PDF draft] [Data set] [Video Example]
  • Ponnu, B., Coifman, B., “Speed-Spacing Dependency on Relative Speed from the Adjacent Lane: New Insights for Car Following Models,” Transportation Research Part B., Vol 82, 2015, pp 74-90. [PDF draft] [Data set]
  • Coifman, B., “Empirical Flow-Density and Speed-Spacing Relationships: Evidence of Vehicle Length Dependency,” Transportation Research- Part B, Volume 78, 2015, pp 54-65. [PDF draft] [Data set]
  • Coifman, B., “Revisiting the Empirical Fundamental Relationship,” Transportation Research- Part B, Vol 68, 2014, pp 173-184. [PDF draft] [Data set]
  • Coifman, B., “Jam Occupancy and Other Lingering Problems with Empirical Fundamental Relationships,” Transportation Research Record 2422, 2014, pp 104-112. [PDF draft]
  • Kim, S., Coifman, B., “Driver Relaxation Impacts on Bottleneck Activation, Capacity, and the Fundamental Relationship,” Transportation Research- Part C, Vol 36, 2013, pp 564-580. [PDF draft]
  • Xuan, Y., Coifman, B., “Identifying Lane Change Maneuvers with Probe Vehicle Data and an Observed Asymmetry in Driver Accommodation,” ASCE Journal of Transportation Engineering, Vol 138, No 8, 2012, pp 1051-1061. [PDF draft]
  • Coifman, B., Kim, S., “Extended Bottlenecks, the Fundamental Relationship, and Capacity Drop on Freeways,” Transportation Research- Part A. Vol 45, No 9, 2011, pp 980-991. [previous working title: “Extended Bottlenecks, the Fundamental Relationship and Capacity Drop”] [PDF draft]
  • Wang, C., Coifman, B., “The Effect of Lane-Change Maneuvers on a Simplified Car-following Theory,” IEEE Transactions on Intelligent Transportation Systems, Vol 9, No 3, 2008, pp 523-535. [PDF draft]
  • Wang, C., Coifman, B., “Estimating the Number of Lane Change Maneuvers on Congested Freeway Segments,” Proc. of the 11th World Conference on Transport Research, June, 28, 2007, Berkeley, CA. [PDF draft]
  • Coifman, B., Mishalani, R., Wang, C., Krishnamurthy, S., “Impact of Lane-Change Maneuvers on Congested Freeway Segment Delays: Pilot Study,” Transportation Research Record 1965, 2006, pp 152-159. [previous working title: “A Pilot Study into the Impacts of Lane Change Maneuvers on Congested Freeway Segment Delays”] [PDF draft]
  • Coifman, B., Wang, Y., “Average Velocity of Waves Propagating Through Congested Freeway Traffic,” Proc. of The 16th International Symposium on Transportation and Traffic Theory, July 19-21, 2005, College Park, MD. pp 165-179. [PDF draft]
  • Wang, Y., Foster, D., Coifman, B., “Measuring Wave Velocities on Highways during Congestion using Cross Spectral Analysis,” Proc. of the 7th IEEE International Conference on Intelligent Transportation Systems, Washington DC, October 3-6, 2004. [PDF draft]
  • Coifman, B., Krishnamurthy, S., Wang, X., “Lane Change Maneuvers Consuming Freeway Capacity,” Proc. of the Traffic and Granular Flow 2003 Conference, October 3, 2003, Delft, Netherlands, pp 3-14. [PDF draft]
  • Coifman, B., “Estimating Travel Times and Vehicle Trajectories on Freeways Using Dual Loop Detectors,” Transportation Research: Part A, 2002, vol 36, no 4, 2002, pp. 351-364. [PDF draft]
  • Coifman, B., Time Space Diagrams for Thirteen Shock Waves, University of California – PATH, 1997. [PDF draft]
  • Cassidy, M., and Coifman, B. “Relation Among Average Speed, Flow, and Density and the Analogous Relation Between Density and Occupancy,” Transportation Research Record no. 1591, Transportation Research Board, 1997, pp 1-6. [previous working title: “The Relation Between Average Speed, Flow and Occupancy and the Analogous Relation Between Density and Occupancy”]

 

Vehicle Reidentification and Travel Time Measurement

  • Coifman, B., Krishnamurthy, S., “Vehicle Reidentification and Travel Time Measurement Across Freeway Junctions Using the Existing Detector Infrastructure,” Transportation Research- Part C, Vol 15, No 3, 2007, pp 135-153. [PDF draft]
  • Coifman, B. “Estimating Density and Lane Inflow on a Freeway Segment,” Transportation Research: Part A, vol 37, no 8, 2003, pp 689-701. [PDF draft]
  • Coifman, B., Ergueta, E., “Improved Vehicle Reidentification and Travel Time Measurement on Congested Freeways,” ASCE Journal of Transportation Engineering, Vol 129, No 5, 2003, pp 475-483.
  • Coifman, B., “Identifying the Onset of Congestion Rapidly with Existing Traffic Detectors,” Transportation Research: Part A, vol 37, no 3, 2003, pp. 277-291. [PDF draft]
  • Coifman, B., and Cassidy, M., “Vehicle Reidentification and Travel Time Measurement on Congested Freeways,” Transportation Research: Part A, 2002, vol 36, no 10, 2002, pp. 899-917. [PDF draft]
  • Coifman, B., “Estimating Travel Times and Vehicle Trajectories on Freeways Using Dual Loop Detectors,” Transportation Research: Part A, 2002, vol 36, no 4, 2002, pp. 351-364. [PDF draft]
  • Coifman, B. and Varaiya, P., Deployment and Evaluation of Real-Time Vehicle Reidentification from an Operations Perspective, University of California, 2002.
  • Coifman, B., Banerjee, B., “Vehicle Reidentification and Travel Time Measurement on Freeways Using Single Loop Detectors- From Free Flow Through the Onset of Congestion,” Proc. of the 6th International Applications of Advanced Technologies in Transportation Engineering, ASCE, Cambridge, MA, August 2002, pp 40-47.
  • Coifman, B., Lyddy, D., Skabardonis, A., “The Berkeley Highway Laboratory- Building on the I-880 Field Experiment,” Proc. IEEE ITS Council Annual Meeting, IEEE, 2000, pp 5-10. [PDF draft]
  • Coifman, B., and Cassidy, M., Automated Travel Time Measurement Using Vehicle Lengths From Loop Detector Speed Traps, University of California – PATH, 2000.
  • Palen, J., Coifman, B., Sun, C., Ritchie, S., Varaiya, P. “Best Research Program: California Partners for Advanced Transit and Highways (PATH) Enhanced Loop-Based Traffic Surveillance Program,” ITS Quarterly, Vol 8, No 4, Intelligent Transportation Society of America, Fall 2000.
  • Coifman, B., “A New Algorithm for Vehicle Reidentification and Travel Time Measurement on Freeways,” Proc. of the 5th International Applications of Advanced Technologies in Transportation Engineering, ASCE, 1998, pp 167-174. [PDF draft]
  • Coifman, B., “Vehicle Re-identification and Travel Time Measurement in Real-Time on Freeways Using the Existing Loop Detector Infrastructure,” Transportation Research Record no. 1643, Transportation Research Board, 1998, pp 181-191. [PDF draft]

 

Detector Validation and Detector Performance Monitoring

  • Coifman, B., Li, L., “Partial Trajectory Method to Align and Validate Successive Video Cameras for Vehicle Tracking,” Transportation Research Part C. Vol. 158, 2024. https://doi.org/10.1016/j.trc.2023.104416 [PDF draft] [Data set] [supplementary data coming soon]
  • Coifman, B., Li, L., “A New Method for Validating and Generating Vehicle Trajectories from Stationary Video Cameras,” IEEE Transactions on Intelligent Transportation Systems, Sept., 2022, pp 16227-16236. doi: 10.1109/TITS.2022.3149277. [PDF draft]
  • Wu, M., Coifman, B., “Quantifying What Goes Unseen in Instrumented and Autonomous Vehicle Perception Sensor Data- A Case Study,” Transportation Research Part C. Vol 107, 2019, pp 105-119. [PDF draft] [Data set]
  • Kim, S., Coifman, B., “Assessing the performance of SpeedInfo Radar Traffic Sensors” Journal of Intelligent Transportation Systems. Vol 21, No 3, 2017, pp179-189. [PDF draft]
  • Kim, S., Coifman, B., “Comparing INRIX speed data against concurrent loop detector stations over several months,” Transportation Research-Part C, Vol. 49, 2014, pp 59-72. [PDF draft]
  • Lee, H., Coifman, B., “Identifying Chronic Splashover Errors at Freeway Loop Detectors,” Transportation Research-Part C, Vol 24, 2012, pp 141-156. [previous working title: “An Algorithm to Identify Chronic Splashover Errors at Freeway Loop Detectors”] [PDF draft]
  • Lee, H., Coifman, B., “Quantifying Loop Detector Sensitivity and Correcting Detection Problems on Freeways,” Journal of Transportation Engineering, ASCE, Vol. 138, No. 7, 2012, pp 871-881. [PDF draft]
  • Lee, H., Coifman, B., “Identifying and Correcting Pulse-Breakup Errors from Freeway Loop Detectors,” Transportation Research Record 2256, 2011, pp 68-78. [PDF draft]
  • Coifman, B., Lee, H., “Analytical Tools for Loop Detectors and Traffic Monitoring Systems,” Proc. of the 10th IEEE International Conference on Intelligent Transportation Systems, Seattle, WA, September 30-October 3, 2007. [PDF draft]
  • Lang, L., Coifman, B., “Identifying Lane Mapping Errors at Freeway Detector Stations,” Transportation Research Record 1945, 2006, pp 89-99. [PDF draft]
  • Coifman, B., “Vehicle Level Evaluation of Loop Detectors and the Remote Traffic Microwave Sensor,” ASCE Journal of Transportation Engineering. Volume 132, No 3, 2006, pp 213-226. [PDF draft]
  • Redmill, K., Coifman, B., “System Management and Monitoring – Temporal Evaluation of Freeway Management Systems,” Proc. of the 9th IEEE International Conference on Intelligent Transportation Systems, Toronto, Canada, September 17-20, 2006.
  • Coifman, B., “Freeway Detector Assessment: Aggregate Data from the Remote Traffic Microwave Sensor,” Transportation Research Record 1917, 2005, pp 149-163. [previous working title: “Freeway Detector Assessment- Aggregate Data from the Remote Traffic Microwave Sensor (RTMS)”] [PDF draft]
  • Coifman, B., Dhoorjaty, S., “Event Data-Based Traffic Detector Validation Tests,” ASCE Journal of Transportation Engineering, Vol 130, No 3, 2004, pp 313-321. [PDF draft]
  • Coifman, B., “Using Dual Loop Speed Traps to Identify Detector Errors,” Transportation Research Record no. 1683, Transportation Research Board, 1999, pp 47-58. [PDF draft]

 

Improved Measures from Conventional Vehicle Detectors

  • Coifman, B., “Microscopic Discontinuities Disrupting Hydrodynamic and Continuum Traffic Flow Models,” Transportation Research Part B. Vol. 189, 2024. https://doi.org/10.1016/j.trb.2024.103068 [PDF draft]
  • Coifman, B., Ponnu, B., “Adjacent Lane Dependencies Modulating Wave Velocity on Congested Freeways- An Empirical Study,” Transportation Research Part B, Vol 142, 2020, pp 84-99. [PDF draft]
  • Ponnu, B., Coifman, B. “When Adjacent Lane Dependencies Dominate the Uncongested Regime of the Fundamental Relationship,” Transportation Research Part B. Vol. 104, 2017, pp 602-615. [PDF draft]
  • Ponnu, B., Coifman, B., “Speed-Spacing Dependency on Relative Speed from the Adjacent Lane: New Insights for Car Following Models,” Transportation Research Part B., Vol 82, 2015, pp 74-90. [PDF draft] [Data set]
  • Coifman, B., “Empirical Flow-Density and Speed-Spacing Relationships: Evidence of Vehicle Length Dependency,” Transportation Research- Part B, Volume 78, 2015, pp 54-65. [PDF draft] [Data set]
  • Coifman, B., “Revisiting the Empirical Fundamental Relationship,” Transportation Research- Part B, Vol 68, 2014, pp 173-184. [PDF draft] [Data set]
  • Coifman, B., Jain, M., “Battery-saving communication modes for wireless freeway traffic sensors” Transportation Research Record 2593, 2016, pp 18-27. [PDF draft]
  • Coifman, B., “Revisiting the Empirical Fundamental Relationship,” Transportation Research- Part B, Vol 68, 2014, pp 173-184. [PDF draft] [Data set]
  • Coifman, B., “Jam Occupancy and Other Lingering Problems with Empirical Fundamental Relationships,” Transportation Research Record 2422, 2014, pp 104-112. [PDF draft]
  • Wu, L., Coifman, B., “Vehicle Length Measurement and Length-Based Vehicle Classification in Congested Freeway Traffic,” Transportation Research Record 2443, 2014, pp 1-11. [PDF draft]
  • Coifman, B., Neelisetty, S., “Improved Speed Estimation from Single Loop Detectors with High Truck Flow,” Journal of Intelligent Transportation Systems, Vol 18, No 2, 2014, pp 138-148. [PDF draft]
  • Coifman, B., Kim, S., “Speed Estimation and Length Based Vehicle Classification from Freeway Single-Loop Detectors,” Transportation Research Part-C, Vol 17, No 4, 2009, pp 349-364. [PDF draft]
  • Coifman, B., Mallika, R., “Distributed Surveillance on Freeways Emphasizing Incident Detection and Verification,” Transportation Research Part A, Vol 41, No 8, 2007, pp 750-767. [PDF draft]
  • Jain, M., Coifman, B., “Improved Speed Estimates from Freeway Traffic Detectors,” ASCE Journal of Transportation Engineering, Vol 131, No 7, 2005, pp 483-495. [PDF draft]
  • Coifman, B. “Estimating Density and Lane Inflow on a Freeway Segment,” Transportation Research: Part A, vol 37, no 8, 2003, pp 689-701. [PDF draft]
  • Coifman, B., Dhoorjaty, S., and Lee, Z., “Estimating Median Velocity Instead of Mean Velocity at Single Loop Detectors,” Transportation Research: Part C, vol 11, no 3-4, 2003, pp 211-222. [PDF draft]
  • Coifman, B., “Estimating Travel Times and Vehicle Trajectories on Freeways Using Dual Loop Detectors,” Transportation Research: Part A, 2002, vol 36, no 4, 2002, pp. 351-364. [PDF draft]
  • May, A., Coifman, B., Cayford, R., Merritt, G., Loop Detector Data Collection and Travel Time Measurement in the Berkeley Highway Laboratory, University of California, 2002.
  • Coifman, B. and Varaiya, P., Improving Operations Using Advanced Surveillance Metrics and Existing Traffic Detectors, University of California, 2001.
  • Jia, Z., Chen, C., Coifman, B. and Varaiya, P., “The PeMS algorithms for accurate, real-time estimates of g-factors and speeds from single-loop detectors,” Proc. IEEE ITS Council Annual Meeting, IEEE, 2001, pp 536-541.
  • Coifman, B., “Improved Velocity Estimation Using Single Loop Detectors,” Transportation Research: Part A, vol 35, no 10, 2001, pp. 863-880. [PDF draft]
  • Coifman, B., Lyddy, D., Skabardonis, A., “The Berkeley Highway Laboratory- Building on the I-880 Field Experiment,” Proc. IEEE ITS Council Annual Meeting, IEEE, 2000, pp 5-10. [PDF draft]
  • Coifman, B., “New Methodology for Smoothing Freeway Loop Detector Data: Introduction to Digital Filtering,” Transportation Research Record no. 1554, Transportation Research Board, 1996, pp 142-152.

 

Vehicle Classification

  • Lee, H., Coifman, B., “Using LIDAR to Validate the Performance of Vehicle Classification Stations,” Journal of Intelligent Transportation Systems, Vol 19, No 4, 2015, pp 355-369. [PDF draft]
  • Wu, L., Coifman, B., “Improved Vehicle Classification from Dual-Loop Detectors in Congested Traffic,” Transportation Research- Part C, Vol 46, 2014, pp 222-234. [PDF draft]
  • Wu, L., Coifman, B., “Vehicle Length Measurement and Length-Based Vehicle Classification in Congested Freeway Traffic,” Transportation Research Record 2443, 2014, pp 1-11. [PDF draft]
  • Kim, S., Coifman, B., “Evaluation of Axle-Based and Length-Based Vehicle Classification Stations,” Transportation Research Record 2339, 2013, pp 1-12. [PDF draft]
  • Wei, H., Liu, H., Ai, Q., Li, Z., Xiong, H., Coifman, B., “Empirical Innovation of Computational Dual-Loop Models for Identifying Vehicle Classifications against Varied Traffic Conditions.” Computer-Aided Civil and Infrastructure Engineering, Vol 28, No 8, 2013, pp 621-634.
  • Lee, H., Coifman, B., “Side-Fire LIDAR Based Vehicle Classification,” Transportation Research Record 2308, 2012, pp 173-183. [PDF draft]
  • Coifman, B., Kim, S., “Speed Estimation and Length Based Vehicle Classification from Freeway Single-Loop Detectors,” Transportation Research Part-C, Vol 17, No 4, 2009, pp 349-364. [PDF draft]

 

Trends

  • Yurtsever, E., Redmill, K., Mishalani, R., McCord, M., Coifman, B., “Automated Traffic Surveillance Using Existing Cameras on Transit Buses,” Sensors (MDPI), Vol 23, No 11, 2023. [open access]
  • Thornton, D., Redmill, K., Coifman, B., “Automated Parking Surveys from a LIDAR Equipped Vehicle,” Transportation Research- Part C, Vol 39, 2014, pp 23-35. [PDF draft]
  • Tong, D., Merry, C., Coifman, B., “New Perspectives on the Use of GPS and GIS to Support a Highway Performance Study,” Transactions in GIS, Vol 13 No 1, 2009, pp 69-85.
  • McCord, M., Yang, Y., Jiang, Z., Coifman, B., Goel, P. “Estimating Annual Average Daily Traffic from Satellite Imagery and Air Photos: Empirical Results,” Transportation Research Record 1855, 2003, pp 136-142. [previous working title: “Estimating AADT from Satellite Imagery and Air Photos: Empirical Results”]
  • Kwon, J., Coifman, B., and Bickel, P., “Day-to-Day Travel-Time Trends and Travel Time Prediction from Loop-Detector Data,” Transportation Research Record no. 1717, Transportation Research Board, 2000, pp 120-129. [PDF draft]

 

LIDAR, Video and Other Emerging Sensor Technologies

  • Coifman, B., Li, L., “Partial Trajectory Method to Align and Validate Successive Video Cameras for Vehicle Tracking,” Transportation Research Part C. Vol. 158, 2024. https://doi.org/10.1016/j.trc.2023.104416 [PDF draft] [Data set] [supplementary data coming soon]
  • Chang, Y., Xiao, W., Coifman, B., “Using Spatiotemporal Stacks for Precise Vehicle Tracking from Roadside 3D LiDAR Data,” Transportation Research Part C, Vol 154, 2023. doi: 10.1016/j.trc.2023.104280. [PDF draft]
  • Yurtsever, E., Redmill, K., Mishalani, R., McCord, M., Coifman, B., “Automated Traffic Surveillance Using Existing Cameras on Transit Buses,” Sensors (MDPI), Vol 23, No 11, 2023. [open access]
  • Coifman, B., Li, L., “A New Method for Validating and Generating Vehicle Trajectories from Stationary Video Cameras,” IEEE Transactions on Intelligent Transportation Systems, Sept., 2022, pp 16227-16236. doi: 10.1109/TITS.2022.3149277. [PDF draft]
  • Zhang, J., Xiao, W. Coifman, B., Mills, J.P. “Vehicle Tracking and Speed Estimation from Roadside LIDAR,” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 13, 2020, pp 5597-5608. [open access]
  • Wu, M., Coifman, B., “Quantifying What Goes Unseen in Instrumented and Autonomous Vehicle Perception Sensor Data- A Case Study,” Transportation Research Part C. Vol 107, 2019, pp 105-119. [PDF draft] [Data set]
  • Coifman, B., Li, L., Xiao, W., “Resurrecting the Lost Vehicle Trajectories of Treiterer and Myers with New Insights into a Controversial Hysteresis,” Transportation Research Record, 2018, 14p. [PDF draft] [Data set]
  • Coifman, B., Li, L., “A Critical Evaluation of the Next Generation Simulation (NGSIM) Vehicle Trajectory Dataset,” Transportation Research Part B. Vol. 105, 2017, pp 362-377. [PDF draft] [Data set] [Video Example]
  • Coifman, B., Redmill, K., Yang, R., Mishalani, R., McCord, M., “Municipal Vehicles as Sensor Platforms to Monitor Roadway Traffic,” Transportation Research Record 2644, 2017, pp 48-54. [PDF draft]
  • Coifman, B., Wu, M., Redmill, K., Thornton, D. “Collecting Ambient Vehicle Trajectories from an Instrumented Probe Vehicle- High Quality Data for Microscopic Traffic Flow Studies,” Transportation Research Part C, Vol 72, 2016, pp 254-271. [PDF draft] [Data set] [Video Example]
  • Thornton, D., Coifman, B., “Signal Progression Impacts on Transit Buses as Travel Time Probes,” ASCE Journal of Transportation Engineering, Vol 141, No 8, 2015, 9 p. [PDF draft]
  • Lee, H., Coifman, B., “Using LIDAR to Validate the Performance of Vehicle Classification Stations,” Journal of Intelligent Transportation Systems, Vol 19, No 4, 2015, pp 355-369. [PDF draft]
  • Thornton, D., Redmill, K., Coifman, B., “Automated Parking Surveys from a LIDAR Equipped Vehicle,” Transportation Research- Part C, Vol 39, 2014, pp 23-35. [PDF draft]
  • Lee, H., Coifman, B., “Side-Fire LIDAR Based Vehicle Classification,” Transportation Research Record 2308, 2012, pp 173-183. [PDF draft]
  • Xuan, Y., Coifman, B., “Identifying Lane Change Maneuvers with Probe Vehicle Data and an Observed Asymmetry in Driver Accommodation,” ASCE Journal of Transportation Engineering, Vol 138, No 8, 2012, pp 1051-1061. [PDF draft]
  • Redmill, K., Coifman, B., McCord, M., Mishalani, R., “Using Transit or Municipal Vehicles as Moving Observer Platforms for Large Scale Collection of Traffic and Transportation System Information,” The 14th International IEEE Conference on Intelligent Transportation Systems, Oct 5-7, 2011, Washington, DC.
  • Coifman, B., Kim, S., “Measuring Freeway Traffic Conditions with Transit Vehicles,” Transportation Research Record 2121, Transportation Research Board, 2009, pp 90-101. [PDF draft]
  • Gao, B., Coifman, B., “Vehicle Identification and GPS Error Detection from a LIDAR Equipped Probe Vehicle,” Proc. of the 9th IEEE International Conference on Intelligent Transportation Systems, Toronto, Canada, September 17-20, 2006.
  • Gao, B., Coifman, B., “A Vehicle Detection and Tracking Approach using Probe Vehicle LIDAR Data” Proc. of Traffic and Granular Flow 2005, Berlin, Germany, October 10-12, 2005, Springer, 2007, pp 675-685. [previous working title: “Extracting traffic flow characteristics with an instrumented probe vehicle”] [PDF draft]
  • Coifman, B., Lyddy, D., Skabardonis, A., “The Berkeley Highway Laboratory- Building on the I-880 Field Experiment,” Proc. IEEE ITS Council Annual Meeting, IEEE, 2000, pp 5-10. [PDF draft]
  • Coifman, B., Beymer, D., McLauchlan, P., and Malik, J., “A Real-Time Computer Vision System for Vehicle Tracking and Traffic Surveillance,” Transportation Research: Part C, vol 6, no 4, 1998, pp 271-288. [PDF draft]
  • Cassidy, M., and Coifman, B., Design of a Machine Vision-Based, Vehicle Actuated Traffic Signal Controller, Final Report, University of California – PATH, 1997.

 

UAV, Airborne, and Satellite Based Monitoring

  • Coifman, B., Li, L., Xiao, W., “Resurrecting the Lost Vehicle Trajectories of Treiterer and Myers with New Insights into a Controversial Hysteresis,” Transportation Research Record, 2018, 14p. [PDF draft] [Data set]
  • Coifman, B., McCord, M., Mishalani, R., Iswalt, M., Ji., Y., “Roadway Traffic Monitoring from an Unmanned Aerial Vehicle,” IEE Journal on Intelligent Transport Systems, (inaugural issue), Vol 153, No 1, 2006, pp 11-20. [PDF draft]
  • McCord, M., Mishalani, R., Coifman, B, Ji, Y., Iswalt, M., “Determining Origin-Destination Flows across a Two-Intersection Network From Non-Overlapping UAV and Ground-Based Imagery,” Proc. of Applications of Advanced Technology in Transportation, ASCE, August 13-16, 2006, Chicago, IL.
  • Coifman, B., Yang, Y., “Estimating Spatial Measures of Roadway Network Usage from Remotely Sensed Data,” Transportation Research Record 1870, 2004, pp 133-138. [PDF draft]
  • Coifman, B., McCord, M., Mishalani, M., Redmill, K., “Surface Transportation Surveillance from Unmanned Aerial Vehicles” Proc. of the 83rd Annual Meeting of the Transportation Research Board, 2004. [PDF draft]
  • McCord, M., Yang, Y., Jiang, Z., Coifman, B., Goel, P. “Estimating Annual Average Daily Traffic from Satellite Imagery and Air Photos: Empirical Results,” Transportation Research Record 1855, 2003, pp 136-142. [previous working title: “Estimating AADT from Satellite Imagery and Air Photos: Empirical Results”]
  • McCord, M., Goel, P., Jiang, Z., Coifman, B., Yang, Y., Merry, C., “Improving AADT and VDT Estimation with High-Resolution Satellite Imagery,” Proc. Integrating Remote Sensing at the Global, Regional and Local Scale, Pecora 15/Land Satellite Information IV Conference, American Society for Photogrammetry and Remote Sensing, Denver, CO, November 2002, 9p.
  • Mishalani, R., Coifman, B., Gopalakrishnan, D., “Evaluating Real-Time Origin-Destination Flow Estimation Using Remote Sensing Based Surveillance Data,” Proc. of the 6th International Applications of Advanced Technologies in Transportation Engineering, ASCE, Cambridge, MA, August 2002, pp 640-647.

 

Public Transit

  • Yurtsever, E., Redmill, K., Mishalani, R., McCord, M., Coifman, B., “Automated Traffic Surveillance Using Existing Cameras on Transit Buses,” Sensors (MDPI), Vol 23, No 11, 2023. [open access]
  • Thornton, D., Coifman, B., “Signal Progression Impacts on Transit Buses as Travel Time Probes,” ASCE Journal of Transportation Engineering, Vol 141, No 8, 2015, 9 p. [PDF draft]
  • Redmill, K., Coifman, B., McCord, M., Mishalani, R., “Using Transit or Municipal Vehicles as Moving Observer Platforms for Large Scale Collection of Traffic and Transportation System Information,” The 14th International IEEE Conference on Intelligent Transportation Systems, Oct 5-7, 2011, Washington, DC.
  • Coifman, B., Kim, S., “Measuring Freeway Traffic Conditions with Transit Vehicles,” Transportation Research Record 2121, Transportation Research Board, 2009, pp 90-101. [PDF draft]
  • Chira-Chavala, T., and Coifman, B., “Effects of Smart Cards on Transit Operators,” Transportation Research Record no. 1521, Transportation Research Board, 1996, pp 84-90.
  • Chira-Chavala, T., Coifman, B., Porter, C., and Hansen, M., “Light Rail Accident Involvement and Severity,” Transportation Research Record no. 1521, Transportation Research Board, 1996, pp 147-155.
  • Coifman, B., and Hansen, M., “IVHS Warning-Systems for Light Rail,” IEEE Vehicular Technology Society News, vol. 41, no. 4, Nov. 1995, pp 26-33.