Abstract & Details
Description
Award ID: 1938570
The broader impact/commercial potential of this Small Business Innovation Research (SBIR) project are to use lidar and advanced computer modeling with a 3D asphalt paving machine for asphalt rehabilitation by enabling milling only over areas where the material has broken down, then applying a 3D asphalt overlay tailored to compensate for surface deformations. This will reduce the overall footprint of the project by reducing the milling, hauling and remixing of asphalt by at least 50%, as well as reducing traffic congestion. This will produce a better, longer lasting road at a fraction of the time and cost while delivering it in a way that is much friendlier to the environment and society. Benefits of this approach are to create higher quality roads that are safer, enable improved gas mileage, and reduce vehicle maintenance costs; and faster completion of paving projects at reduced cost. This Small Business Technology Transfer (STTR) Phase I project will study an innovative method of asphalt rehabilitation utilizing a 3D asphalt overlay. Current asphalt paving machines are limited to delivering a flat layer of asphalt inadequate to address surface deformations and requiring the entire road surface to be milled flat. The goal of this research project is to transform an uneven road surface into a smooth, flat driving surface with an International Roughness Index (IRI)
NSF Program Director: Muralidharan Nair
The broader impact/commercial potential of this Small Business Innovation Research (SBIR) project are to use lidar and advanced computer modeling with a 3D asphalt paving machine for asphalt rehabilitation by enabling milling only over areas where the material has broken down, then applying a 3D asphalt overlay tailored to compensate for surface deformations. This will reduce the overall footprint of the project by reducing the milling, hauling and remixing of asphalt by at least 50%, as well as reducing traffic congestion. This will produce a better, longer lasting road at a fraction of the time and cost while delivering it in a way that is much friendlier to the environment and society. Benefits of this approach are to create higher quality roads that are safer, enable improved gas mileage, and reduce vehicle maintenance costs; and faster completion of paving projects at reduced cost. This Small Business Technology Transfer (STTR) Phase I project will study an innovative method of asphalt rehabilitation utilizing a 3D asphalt overlay. Current asphalt paving machines are limited to delivering a flat layer of asphalt inadequate to address surface deformations and requiring the entire road surface to be milled flat. The goal of this research project is to transform an uneven road surface into a smooth, flat driving surface with an International Roughness Index (IRI)
NSF Program Director: Muralidharan Nair
| Status | Closed |
|---|---|
| Effective start/end date | 12/01/19 → 02/28/22 |
Lead and Sub-Awardee Organization(s)
Funding
- STTR Phase I: $224,466.00
Active Fiscal Year
- FY2022
Start Fiscal Year
- FY2020
TIP Programs
- STTR Phase I
Small Business
- Yes
Key Technology Areas
- Artificial Intelligence
- (confidence score: 91%)
Technology Foci
- Artificial Intelligence (Broad)
- (confidence score: 100%)
Congressional District at Award
- District n. 19 of California
Current Congressional District
- District n. 19 of California
United States
- California
Core Based Statistical Area (CBSA)
- Salinas, CA
County
- County: Monterey, CA
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