News/Articles
Corporate Partnerships
| IST, Inc. Partners with the California Advanced Transportation Management Systems Testbed IST is pleased to announce our corporate partnership with the California Advanced Transportation Management Systems Testbed in addition to testbed partners CALTRANS, the California Center for Innovative Transportation (CCIT), the cities of Anaheim and Irvine, the University of California Institute of Transportation Studies, and California Partners for Advanced Transit & Highways (PATH). IST technology is used as the ground truth for all detectors tested at the California ATMS Testbed. Our deployment there has been expanded to 20 ramp meter and count stations as part of an advanced corridor adaptive ramp metering R&D project. |
Research
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Sensor for Unexpected Roadway Events This research was performed to demonstrate a feasible method to conduct an automated temporary traffic survey system where duration ranges from 7 to 14 days, provides vehicle classification and the system can be easily deployed using non-permanent inductive loop sensors. IST technology was used to provide data in various locations. IST worked with the USC Information Sciences Institute, USC School of Policy, Planning and Deployment and USC METRANS Transportation Center on this project. John Heidemann, et al., Sensor for Unexpected Roadway Events: Field Trials (SURE-FT) Draft Final Report, METRANS, 2007. |
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Field Investigation of Advanced Vehicle Reidentification Techniques and Detector Technologies - Phase 2 ITS applications require accurate traffic data and characteristics; therefore, part of this research involved investigating various detector technologies and traffic sensors, including both the IST-222 Detector Card and IST Blade Sensor, to determine the technology's ability to provide vehicle reidentification and real-time traffic performance measurement. IST assisted California PATH in performing Phase 2 of the project in cooperation with the U.S. Department of Transportation, Federal Highway Administration, CALTRANS and the California Business, Transportation and Housing Agency. S. Ritchie, et al., Field Investigation of Advanced Vehicle Reidentification Techniques and Detector Technologies - Phase 2, PATH, 2005. |
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Field Investigation of Advanced Vehicle Reidentification Techniques and Detector Technologies - Phase 1 This research focused on testing the IST-222 Detector Card, using vehicle inductive loop signatures from single loop detectors to provide improved real-time traffic parameter estimates, among several other objectives. Research results of the vehicle reidentification approach for signalized intersections were encouraging unto further expansion of the vehicle reidentification algorithm for this research application. IST assisted California PATH in the performance of Phase I of this project in cooperation with the U.S. Department of Transportation, Federal Highway Administration, CALTRANS and the California Business, Transportation and Housing Agency. S. Ritchie, et al., Field Investigation of Advanced Vehicle Reidentification Techniques and Detector Technologies - Phase I, PATH, 2002. |
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Anonymous Vehicle Tracking for Real-Time Freeway and Arterial Street Performance Measurement This research focused on developing methods to assess arterial and transit system performance for the CALTRANS PeMS (Performance Measurement System), which is the standard tool used to assess freeway system performance. Anonymous vehicle tracking using existing inductive loop detectors with IST Detectro Cards was examined for the ability to supply the needs of PeMS. Encouraging results were obtained for the automatic vehicle classification system developed during the study. Potential arterial and freeway field implementation of the proposed system can use the study results as a plausible and needed predecessor. IST assisted California PATH in performance of this research project in cooperation with CALTRANS, U.S. Department of Transportation, Federal Highway Administration and the State of California Business, Transportation and Housing Agency. S. Ritchie, et al., Anonymous Vehicle Tracking for Real-Time Freeway and Arterial Street Performance Measurement, PATH, 2005. |
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Development of a Methodology to Design Advanced Traffic Surveillance Systems for Traffic Information Based on Origin-Destination This study developed a methodology to design advanced traffic surveillance systems while basing the methodology on two simulation experiments. An inductive signature based anonymous vehicle tracking system was developed as an application of the proposed methodology. Study findings can be a plausible and necessary predecessor for field implementation to a mixture of traffic surveillance systems. C. Oh, et al., Development of Methodology to Design Advanced Traffic Surveillance Systems for Traffic Information Based on Origin-Destination, TRB, 2005. |
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Vehicle Level Evaluation of Loop Detectors and the Remote Traffic Microwave Sensor A study was conducted which evaluated four loop sensors, one of which was the IST Detector Card, and the remote traffic microwave sensor (RTMS). Data from each of the five sensors was collected after being deployed for a minimum of 24 hours across dual loops on I-80 according to CALTRANS guidelines. The study methodology could easily be used to evaluate other detectors and detection technologies. B. Coifman, Vehicle Level Evaluation of Loop Detectors and the Remote Traffic Microwave Sensor, TRB, 2005. |
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(2005) IST-222 Detector Cards were used in this study to provide inductive vehicle signatures.
The focus of the study was to determine if the authors' new vehicle reidentification algorithm could
be applied to unprocessed inductive vehicle signatures and use the resultant vehicle signatures as
inputs for vehicle reidentification. Study results were found to be very promising.
S. Jeng, et al., New Inductive Signature Data Compression and Transformation Method for Online Vehicle Reidentification, TRB, 2005. |
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(2005) In the successful operation of intelligent transportation systems, the provision of
dependable traffic prediction information is crucial. This study used the Irvine, California I-405
test bed to predict travel times by information gathered from the test bed's inductive signature based
reidentification system, which uses IST Detector Cards, in order to explore the relationship between
data aggregation and predictability.
C. Oh, et al., Exploring the Relationship Between Data Aggregation and Predictability to Provide Better Predictive Traffic Information, TRB, 2005. |
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Irvine, CA (January 2004) This study examined a real-time vehicle reidentification algorithm using a
different traffic detection technology upstream from the traffic detection technology being used downstream
at a signalized intersection. A set of data was collected using a conventional square inductive loop upstream
and a temporarily installed prototype inductive loop blade sensor downstream. High-speed scanning detector
cards were used for both types of technologies. Results were encouraging that vehicle reidentification in a
traffic control system of mixed detection technologies can be feasible. The Institute of Transportation Studies, University of California, Irvine,
study was performed as a part of the California PATH
program in cooperation with CALTRANS, the
U. S. Department of Transportation">, the
Federal Highway Administration and the
State of California Business, Transportation and Housing Agency.
IST, Inc. Blade Sensors and portable data collection equipment were used in the performance of this project.
C. Oh, et al., Vehicle Reidentification Using Heterogeneous Detection Systems, TRB, 2004. |
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Irvine, CA (November 2003) Developing a reliable and accurate real-time traffic surveillance system is
essential to the performance of an Advanced Transportation Management and Information System (ATMIS). This study
of the Institute of Transportation Studies,
University of California, Irvine presents a way to track vehicles anonymously via a vehicle reidentification
algorithm and based on inductive vehicle signatures collected from signalized intersections. Research was
performed to investigate tracking vehicles across numerous detector stations and the performance achieved. The
findings serve as a valid and essential precursor to vehicle reidentification techniques being implemented in
the field. Using existing traffic surveillance infrastructure along with anonymous vehicle tracking could be
an immensely important tool in support of varied ATMIS strategies such as adaptive traffic control, congestion
monitoring, real-time traveler information and system evaluation.
C. Oh, et al., Anonymous Vehicle Tracking for Real-Time Traffic Surveillance and Performance on Signalized Arterials, TRB, 2003. |
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Irvine, CA (2002) This study demonstrates an improved ability to use single inductive loop detectors
and vehicle inductive signatures to obtain real-time traffic parameters such as speed, volume, occupancy, and
vehicle class. Inductive loop detectors are extensively used in the United States plus many other countries
to provide traffic data. A way to attain real-time traffic parameters for use in Advanced Transportation
Management and Information Systems (ATMIS) from the more commonly used single inductve loop detector station
and inductive signatures is of significant interest and demonstrating the ability to perform this is the main
objective of the project.
S. Oh, et al., Real Time Traffic Measurement from Single Loop Inductive Signatures, TRB, 2002. |
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Irvine, CA (2002) Research was conducted by analyzing vehicle inductve signatures and reidentification
of vehicles that traveled through a signalized intersection. This provided Re-identification Delay, which is
a new gauge of the effectiveness of Level of Service criteria. Advanced Traffic Management Systems (ATMS)
require new Level of Service criteria to provide for real-time intersection analysis.
C. Oh, et al., Real-Time Inductive-Signature-Based Level of Service for Signalized Intersections, TRB, 2002. |
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(2000) There are seven predefined vehicle classifications that can be used by various transportation
applications such as traffic safety, toll setting and traffic modeling and simulation. Vehicle inductive
signatures collected from inductive loop detectors were processed using three different heuristic algorithms.
Results were encouraging and show the potential for collecting vehicle classification data network-wide from
inductive loops by processing vehicle inductive signatures and using them as inputs to a vehicle classification
algorithm.
C. Sun, et al., Heuristic Vehicle Classification Using Inductive Signatures on Freeways, TRB, 2000. |
U.S. Patents
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U.S. Patent Number 6,999,886 Vehicle Speed Estimation using Inductive Vehicle Detection Systems, S. Hilliard, 2006. |
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U.S. Patent Number 6,988,052 Normalization of Inductive Vehicle Detector Outputs, S. Hilliard, et al, 2006. |
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U.S. Patent Number 6,917,308 Surface-Mount Traffic Sensors, S. Hilliard, 2005. |
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U.S. Patent Number 6,911,829 Inductive Signature Measurement Circuit, S. Hilliard, et al., 2005. |
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U.S. Patent Number 6,876,949 Normalization of Inductive Vehicle Detector Outputs, S. Hilliard, et al., 2005. |
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U.S. Patent Number 6,838,886 Method and Apparatus for Measuring Inductance, S. Hilliard, et al., 2005. |
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U.S. Patent Number 6,803,859 Method and Apparatus for Active Isolation in Inductive Loop Detectors, S. Hilliard, et al., 2004. |
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U.S. Patent Number 6,771,064 Inductive Sensor Apparatus and Method for Deploying, L. Leibowitz, et al., 2004. |
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U.S. Patent Number 6,639,521 Inductive Sensor and Method of Use, S. Hilliard, et al., 2003. |
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U.S. Patent Number 6,611,210 Automotive Vehicle Classification and Identification by Inductive Signature, S. Hilliard, et al., 2003. |
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U.S. Patent Number 6,590,400 Inductive Signature Measurement Circuit, S. Hilliard, et al., 2003. |
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U.S. Patent Number 6,417,784 Automotive Vehicle Classification and Identification by Inductive Signature, S. Hilliard, et al., 2002. |
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U.S. Patent Number 6,380,868 Permeability-Modulated Carrier Referencing, S. Hilliard, et al., 2002. |
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U.S. Patent Number 6,342,845 Automotive Vehicle Classification and Identification by Inductive Signature, S. Hilliard, et al., 2002. |
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U.S. Patent Number 6,337,602 Method and Apparatus for Active Isolation in Inductive Loop Detectors, S. Hilliard, et al., 2002. |
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