June 14, 2018
CLR Analytics, Inc. exhibited its Inductive Loop Signature (ILS) Technology at the National Travel Monitoring Exposition and Conference (NaTMEC) held in Irvine CA, June 10-13, 2018. The event was very successful and attracted a variety of transportation professionals from all over the US and other countries. There were 36 exhibitors including CLR Analytics.
CLR presented the ILS technology and the VSign vehicle classification and tracking AI system that enables the use of a single loop for vehicle classification, speed measurement, and vehicle tracking among counting stations, classification sites sand WIM stations. Our technology was one of the attractions for many DOT Transportation Data Managers and other officials because it provides a quick, easy and cost-effective solution to significantly improve traffic data quality for informed decisions. A lot of practitioners and researchers stopped by the booth to learn more about the technology. DOT officials from states such as Alaska, Arizona, Colorado, Connecticut, Florida, Idaho, Illinois, Indiana, Kansas, Louisiana, Maine, Minnesota, North Carolina, Utah, Virginia, and Washington showed their keen interest. The ability of the technology to detect vehicles at low speed and high-volume conditions and classify them without the need of piezoelectric sensors made CLR standout at the conference. Since the technology is compatible with existing standards and data collection systems, many of them scheduled a demo for their state.
At the closing ceremony, District 12 Deputy District Director of Maintenance and Operations, Ms. Dina El-Tawansy introduced our ILS technology that uses single loops to provide a lot more information about vehicles such as speed, class, etc., not just the counts, as compared to the conventional loops. She described it as an exciting technology and it has been deployed in many districts of California, including District 12. After Dina’s talk, Mr. Tianjia Tang, the chief of Travel Monitoring and Surveys Division, FHWA Office of Information and Policy, summarized various innovations at the conference. He identified the ILS technology as one of the most promising technologies that will help the current traffic data collection. He also encouraged different states to try and make use of the advantages and opportunities the ILS technology presents.
NaTMEC is a biennial conference aimed to increase the efficiency and effectiveness of multimodal traffic monitoring programs covering motorized, bicyclist, and pedestrian movements to enhance data-driven decisions in areas of performance management, planning and design, asset management, safety, and program administration.
May 10, 2018
CLR Analytics Inc. will be exhibiting at National Travel Monitoring Exposition and Conference (NaTMEC) to be held in Irvine, CA. Our booth is #26.
The goal of the conference is to increase the efficiency and effectiveness of multimodal traffic monitoring programs covering motorized, bicyclist, and pedestrian movements to enhance data-driven decisions in areas of performance management, planning and design, asset management, safety, and program administration. In addition to the indoor vendor area, an outdoor demonstration area will be available for vendor use.
April 30, 2018
CLR Analytics has been selected to be a successful Small Business Innovation Research (SBIR) firm for 2017. It has been mentioned as one of the small businesses that have shown exemplary success within the SBIR program and the story has been featured on sbir.gov
May 11, 2017
CLR Analytics was invited to attend the first Innovation Fair hosted by Caltrans District 8 in San Bernadino, California, on May 11, 2017. During the fair, our Smart Infrastucture products, including the Inductive Loop Signature (ILS) based advanced traffic detection, low-cost air quality monitor, and structural health monitoring system, captured audience’s attention. We met and talked to many Caltrans folks in different fields.
CLR Analytics Inc. successfully performed a field data collection for the SBIR Phase II project titled “Tracking of heavy vehicles for estimating heavy load distribution across the highway system and Weigh-In-Motion Calibration” on 12/13/2016. The field data collection involved the collection of high-resolution video data and vehicle signature and WIM data from 10 counting stations and 7 WIM stations. The data collected from the field will be used to build knowledge base for truck vehicle classification and refine truck tracking algorithms, which are the core algorithms for the commercial vehicle tracking system (CVTS). CVTS can be used to monitor WIM and counting stations in real-time, keep track trucks among WIM stations for WIM calibration and thus provide more accurate weight data at WIM stations, and provide weight data through truck re-identification at counting stations.