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

Innovation in intelligent transportation systems relies 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 maintainability. This is achieved by breaking up code int...

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Bibliographic Details
Published inIEEE transactions on intelligent transportation systems Vol. 17; no. 6; pp. 1748 - 1761
Main Authors Bender, Asher, Ward, James R., Worrall, Stewart, Moreyra, Marcelo L., Gerling Konrad, Santiago, Masson, Favio, Nebot, Eduardo M.
Format Journal Article
LanguageEnglish
Published New York IEEE 01.06.2016
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Algorithms
Architecture
Communication
Computer architecture
Data acquisition
data storage
Data visualization
Experimentation
Failure
Intelligent transportation systems
LCM
Libraries
Maintainability
Modular design
naturalistic driving data
RabbitMQ
ROS
Software
Software architecture
Vehicles
visualization
ZMQ
RabbitMQ
data storage
visualization
LCM
ROS
data acquisition
communication
Intelligent transportation systems
naturalistic driving data
ZMQ
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Summary:Innovation in intelligent transportation systems relies 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 maintainability. 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 communication library underpinning our proposed architecture is compared 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.
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ISSN:1524-9050
1558-0016
DOI:10.1109/TITS.2016.2524523