A Flexible System Architecture for Acquisition and Storage of Naturalistic Driving Data

J. R. WARD; S. GERLING KONRAD; A. BENDER; M. L. MOREYRA; E. M. NEBOT; S. WORRALL; F. MASSON

IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC

Lugar: New York; Año: 2016 vol. 17 p. 1748 - 1761

1524-9050

Innovation in intelligent transportation systems re- lies on analysis of high-quality data. In this paper, we describe the design principles behind our data management infrastructure. The principles we adopt place an emphasis on flexibility and main- tainability. This is achieved by breaking up code into a modular design that can be run on many independent processes. Message passing over a publish?subscribe network enables interprocess communication and promotes data-driven execution. By following these principles, rapid prototyping and experimentation with new sensing modalities and algorithms are possible. The communi- cation library underpinning our proposed architecture is com- pared against several popular communication libraries. Features designed into the system make it decentralized, robust to failure, and amenable to scaling across multiple machines with minimal configuration. Code written using the proposed architecture is compact, transparent, and easy to maintain. Experimentation shows that our proposed architecture offers a high performance when compared against alternative communication libraries.