CLR ANALYTICS INC — Department of Transportation SBIR Phase II: 122FH4
CLR ANALYTICS INC — SBIR Phase II award from Department of Transportation.
Phase II SBIR prototype / development signal
- Phase II is where Department of Transportation funds deeper R&D after feasibility. Incumbents with Phase II history are serious competitors on adjacent topics.
- Use this award as past-performance context and to map customer organizations for STRATFI/TACFI-style transition planning.
- Obligated amount $799,971 is consistent with substantial Phase II-scale effort; compare to related awards from the same agency.
- Topic code 122FH4 links this award to a solicitation family — search the same topic stem for incumbents and recompete timing.
- Amount
- $799,971
- Agency
- Department of Transportation
- Program / Phase
- SBIR · Phase II
- Topic
- 122FH4
- Solicitation
- DTRT5712RSBIR2
- NAICS
- —
- Place of performance
- CA
- Period
- 2014-09-24 → 2016-09-23
Description
Despite heavy vehicles representing a small portion of vehicles on the roads, they have significant influences on pavement, safety, environment, energy consumption, and the performance of traffic system. Weigh-In-Motion (WIM) has been employed as a major technology to collect heavy vehicle data on freeways. Because WIM systems are costly and sophisticated, how to effectively utilize the valuable WIM data, monitor WIM stations' performance, and identify out of calibration stations are especially important. In the Phase I study, we had successfully demonstrated an innovative and yet practical approach for heavy vehicle tracking that combined the use of both WIM and inductive loop signature data. In this Phase II project, we propose to develop a Commercial Vehicle Tracking System (CVTS), which tracks heavy/commercial vehicles across WIM stations, Continuous Counting Stations (CCSs) and Continuous Vehicle Classification (CVC) stations in the freeway network. The integration of the inductive loop signature and WIM technologies offers a low-cost solution to monitor the performance of WIM stations, to identify out-of-calibration stations, and to collect truck movement data. The proposed CVTS can be used for various transportation applications such as emission estimations, freight management, planning and modeling, and performance monitoring of the national freight network required by MAP-21.