Development of Analysis Methods Using Recent Data (D)
Sector: Automotive • Location: Washington, United States of America (USA)
Source: Federal Highway Administration (FHWA)
The objective of this project is to identify/develop analytic methods for the Strategic Highway Research Program 2 (SHRP2) driving behavior and crash risk study and to carry out demonstrations of the methods using data from recent field studies for road departure and intersection safety issues. Key aspects of the analysis include the application of crash surrogate approaches (traffic conflicts, cr
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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 identify/develop analytic methods for the Strategic Highway Research Program 2 (SHRP2) driving behavior and crash risk study and to carry out demonstrations of the methods using data from recent field studies for road departure and intersection safety issues. Key aspects of the analysis include the application of crash surrogate approaches (traffic conflicts, critical incidents, near-collisions, and other surrogate measures), development of exposure-based collision risk measures, and the formulation of analytic methods to quantify the relationship of human factors, driver behavior, vehicle, roadway and environmental factors to collision risk. The project includes: Identification of research questions. Review of data from recent studies. Development of an analysis plan that specifies risk measures to be used (including crash surrogates), response variables, control variables, and analysis methods. Demonstration of the method using existing data from recent studies. |
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 |
