Integrating Big Data, Automation, and Artificial Intelligence into Asphalt Materials
Sector: Road • Location: Washington, United States of America (USA)
Source: Federal Highway Administration (FHWA)
An emerging area in the field of asphalt materials is artificial intelligence (AI). More specifically, this encompasses integration of big data concepts and automated data collection into models which can better inform practitioners than traditional methods. While AI is widely used in the transportation engineering community, its usage in asphalt materials is limited. The intended vision is to spa
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Participants
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Company | Obfuscated Data |
Status
Original status | active |
Taiyo status | Obfuscated Data |
Taiyo last update | 00-00-0000 |
Available timestamps | 00-00-0000 |
Available timestamp type | Obfuscated Data |
Contact
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Address | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Description
Description | An emerging area in the field of asphalt materials is artificial intelligence (AI). More specifically, this encompasses integration of big data concepts and automated data collection into models which can better inform practitioners than traditional methods. While AI is widely used in the transportation engineering community, its usage in asphalt materials is limited. The intended vision is to span all areas of asphalt materials research, including the pavement testing facility. |
Original sub-sector | Obfuscated |
Original Currency | USD |
Original budget | 000000000000000 |
Procurement method | Obfuscated Data |
Budget | 000000000000000 |
Location
Region | Obfuscated |
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State | Obfuscated Data |
County | Obfuscated |
Location | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Source
Source reliability | High |
Data quality score | 100% |
Source | Obfuscated Data |
URL | obfuscated_data,obfuscateddata.com |
More Details
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