Lane Change/Merge Fundamental Research: Phase 1
Sector: Automotive • Location: Washington, United States of America (USA)
Source: Federal Highway Administration (FHWA)
Federal Highway Administration (FHWA) is developing concepts for using automated longitudinal control in several projects that explore the potential to improve mobility and safety. But while most research has explored automated longitudinal control in simple highway driving scenarios only, deployment will necessarily require that other traffic movements, such as lane changes, weaves, merges, and d
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Participants
Sponsoring Agency | Obfuscated Data |
Company | Obfuscated Data |
Status
Original status | programmed |
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 | Federal Highway Administration (FHWA) is developing concepts for using automated longitudinal control in several projects that explore the potential to improve mobility and safety. But while most research has explored automated longitudinal control in simple highway driving scenarios only, deployment will necessarily require that other traffic movements, such as lane changes, weaves, merges, and demerges, will be enabled. In addition, new operational concepts and technologies, e.g. driver lateral control while longitudinal control is automated, are necessary in order for mobility and safety benefits to be realized. The purpose of this project is to initiate foundational experimental research, based upon enabling technologies for automated operation and vehicle-to-vehicle and vehicle-to-infrastructure communication, in the area of lane change and merging. |
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 |
