| Title | Real-Time Data Capture and Management Evaluation and Performance Measures : Evaluation Framework |
|---|---|
| Record ID | 44329 |
| Personal Name Creator |
Vandervalk, Anita; Snyder, Dena |
| Corporate Creator | Cambridge Systematics |
| Corporate Contributor |
United States. Joint Program Office for Intelligent Transportation Systems; United States. Department of Transportation. Research and Innovative Technology Administration |
| Publisher | Intelligent Transportation Systems Joint Program Office |
| Publication Date | 20110900 |
| Language | English |
| Abstract | Through connected vehicle research, the U.S. DOT Intelligent Transportation Systems Joint Program Office (ITS JPO) is leading an effort to assess the potential for systematic and dynamic data capture from vehicles, travelers and the transportation system infrastructure to enhance current operational practices and transform future surface transportation systems management. The crosscutting Real-Time Data Capture and Management (DCM) Program is the vehicle for this important effort. The purpose of the Real-Time Data Capture and Management Evaluation and Performance Measures project is twofold: 1) To identify a set of performance measures that can be used to evaluate data sets and data environments that are developed during Phase II (Research) of the DCM program; and 2) To develop an evaluation framework to quantify the benefits of the data sets and data environments developed through the program. This project will support the evaluation of quantitative and qualitative benefits from research conducted as part of Phase II the DCM Program. The measures and framework may be refined in Phase II (Research) and further tested in Phase III (Implementation) of the DCM Program. The Evaluation Framework is comprised of the following steps: Step 1. Establish the scope and timing for the evaluation. Step 2. Develop a logic model for the evaluation. Step 3. Identify evaluation questions to be answered as part of the evaluation. Step 4. Select performance measures. Step 5. Establish data collection parameters and collect data. Step 6. Calculate results for performance measures. Step 7. Set data quality targets. Step 8. Assess benefit/cost. Step 9. Summarize evaluation results. Step 10. Complete the feedback cycle. |
| Rosap ID | dot:3337 |
| Rosap URL | https://rosap.ntl.bts.gov/view/dot/3337 |
| ResearchHub ID | 353; 293 |
| TRT Terms | Intelligent transportation systems; Intelligent transportation systems programs; Evaluation and assessment; Evaluation; Performance measurement; Real time data processing |
| General Subjects | Evaluation; Performance measures; Evaluation and performance measures; Real-time data capture and management; DCM evaluation and performance measures; Evaluation framework; 508 Compliant; 508 Compliant Print; 508 Compliant PDF; Research Hub |
| Classification | NTL - INTELLIGENT TRANSPORTATION SYSTEMS - INTELLIGENT TRANSPORTATION SYSTEMS |
| Geographical Coverage |
Florida |
| TRIS Online Accession No |
1368791 |
| Contract Number | DTFH61-06-D-00004 / 7661.690 |
| Report Number | FHWA-JPO-11-136 |
| Availability | Intelligent Transportation Systems Joint Program Office |
| Resource type | Tech Report |
| URL | https://ntlrepository.blob.core.windows.net/lib/44000/44300/44329/Real-Time_Data_Capture__Management_Evaluation_and_Performance_Measures-Evaluation_Framework_Report__FHWA-JPO-11-136___November_2011_508.pdf |
| Format | |
| Database | NTL Digital Repository |