Overview
This Concept of Operations (ConOps) describes the characteristics of the Dynamic Interrogative Data Capture (DIDC) algorithms and associated software.
The objective of the DIDC algorithms and software is to optimize the capture and transmission of vehicle-based data under a range of dynamically configurable messaging strategies. The DIDC software is used to reduce the capture and transmission of redundant or otherwise unnecessary data and to enhance the capture and transmission of high-value data depending on current needs of transportation system managers. DIDC attempts to optimize the balance between the need to accurately predict measures of performance (maximizing the value of the data) while minimizing the amount of data captured and transmitted (reducing data-related costs).
DIDC software is intended to support cross-cutting data-related research, analysis, and evaluation for connected vehicle research. Analyses utilizing the DIDC software will be useful in developing and evaluating integrated deployment concepts and the right-sizing of real-time, multi-source data management systems. The DIDC software is intended primarily as a research tool. However, DIDC algorithms and code may also have practical value if adapted for deployment in a connected vehicle field test or pilot deployment.