Automated Vehicles and Adverse Weather - Phase 3
Sector: Advanced Electronics • Location: Washington, United States of America (USA)
Source: Federal Highway Administration (FHWA)
The objective of this project is to explore the impacts and effects of adverse weather and road weather conditions on automated vehicle (AV) perception and control systems in different traffic scenarios. Weather (atmospheric conditions) and road weather (pavement conditions) can adversely affect vehicle and driver behavior, impacting safety and mobility. With the advent of automated vehicles, addi
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Participants
Sponsoring Agency | Obfuscated Data |
Company | Obfuscated Data |
Status
Original status | completed |
Taiyo status | Obfuscated Data |
Taiyo last update | 00-00-0000 |
Available timestamps | 00-00-0000 |
Available timestamp type | Obfuscated Data |
Contact
Contact name | Obfuscated Data |
Phone | 0000000000 |
ObfuscatedData@email.com | |
Address | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Description
Description | The objective of this project is to explore the impacts and effects of adverse weather and road weather conditions on automated vehicle (AV) perception and control systems in different traffic scenarios. Weather (atmospheric conditions) and road weather (pavement conditions) can adversely affect vehicle and driver behavior, impacting safety and mobility. With the advent of automated vehicles, additional research is needed to identify how vehicles and drivers will detect and react to adverse weather and road weather conditions at different levels of automation and in different driving environment such as work zones. This project will research how adverse weather and road weather conditions affect driver behavior, vehicle dynamics, vehicle operations, communications, and sensor capabilities at different levels of automation. There have been two previous phases which has included a literature review and technology scan; stakeholder engagement; two field tests; and a final report. |
Original sub-sector | Obfuscated |
Original Currency | USD |
Original budget | 000000000000000 |
Procurement method | Obfuscated Data |
Budget | 000000000000000 |
Location
Region | Obfuscated |
Country | Obfuscated |
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
Project Type | Obfuscated Data |
Article Published Date | Obfuscated Data |
