December 15, 2022
We team up with Dr and Prof Zong Tian on a fantastic project for the City of Stockton.
In the project, we are going to provide the TranSync solution to Stockton. TranSync is a game-changing signal timing tool that has been used by more than 30 agencies across the world, mainly in the US, but also in China and Canada.
November 1, 2022
CLR Analytics works with the Caltrans District 12 drone team and census program to successfully conduct a loop-lane association at the SR-91 and I-5 interchange.
This site has 14 lanes, with freeway General-Purpose lanes, HOV lanes, freeway to freeway connectors (including HOV to HOV connectors). Its cabinet is located along the local street. The use of drones makes it possible to get the job done safely and efficiently.
More importantly, accurate traffic data with classification and speed are available at this strategically important site. With the requirement of only one existing loop sensor per lane, our ai and iot empowered VSign advanced detection and classification system upgrades the existing dated traffic detection system to smart #infrastructure without construction.
October 1, 2022
CLR Analytic receives the patent for our machine learning based vehicle classification algorithm from USPTO.
This vehicle classification algorithm together with the single-loop speed estimation patent received last year are the foundation for our VSign smart vehicle classification system.
VSign has been deployed to eight states in the US and significantly improves the reliability and smartness of their traffic monitoring data and makes traffic detection facilities smart infrastructure. We are installing more than 30 VSign systems along busy freeways in Orange County, California now.
June 13, 2022
The NatMEC conference was a virtual conference organized by the Idaho Department of Transportation (ITD) and the Pacific Northwest Transportation Consortium (PACTRANS) and focused on traffic data and technologies to collect traffic data, and with various attendees including practitioners, researchers, and vendors.
CLR Analytics presented some of our thoughts on upgrading the conventional vehicle counting and classification sites to Smart Infrastructure. It involved the use of the existing sensors with cutting-edge technologies including AI, IoT, and inductive loop signature technologies to collect accurate classified traffic data not only for FHWA reporting purposes but also for various offline and online transportation applications.
February 25, 2022
Colorado Department of Transportation (CDOT) and CLR Analytics Inc. has entered a new contract to speed up its statewide deployment of VSign Smart Vehicle Classification System. This contract involves the installation of the VSign system to 6 new sites, which increase the number of VSign site to 30, and extending the VSign services to 2025. Additionally, CLR Analytics Inc. will work with CDOT to further evaluate the classification performance of VSign and identify the needs for system customization.
February 12, 2021
Colorado Department of Transportation (CDOT) and CLR Analytics Inc. has entered a contract, which involves the deployment of VSign Smart Vehicle Classification System to 5 new sites and the funding of the renewal of existing VSign sites to 2024. This phase of the project will also involves the establishment of a VSign jump server in the CDOT network, which will be used to bypass the VSign data from VSign sites using fiber and private cellular communication to the VSign cloud server hosted by Amazon Web Services.
January 1, 2021
We tested the adaptability of the VSign intelligent vehicle classification system in Alaska, evaluated its performance, and compared it to existing systems. We further developed a customized vehicle classification AI library adapted to Alaska. This project involved the installation of the Vsign system at a total of 10 sites in North and South Alaska.
February 1, 2020
CLR Analytics Inc. provided a technological support for the USDOT Small Business Innovation Research (SBIR) project on loop signature matching. This project aimed to develop, set up, and test an artificial intelligence-based vehicle detection, tracking, and traffic management decision support system. There were two demonstration sites, including two test sites at CA I-405 and eight intersections at City Road 13 in Delaware.
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.