A Survey of the Connected Vehicle Landscape—Architectures, Enabling Technologies, Applications, and Development Areas

By Joshua E. Siegel, Dylan C. Erb, Sanjay E. Sarma. IEEE transactions on intelligent transportation systems (Print), 2017

390 citations recorded by the source corpus.

This paper summarizes the state of the art in connected vehicles—from the need for vehicle data and applications thereof, to enabling technologies, challenges, and identified opportunities. Connectivity is increasing around the world and its expansion to vehicles is no exception. With improvements in connectivity, sensing, and computation, the future will see vehicles used as development platforms capable of generating rich data, acting based on inference, and effecting great change in transportation, the human-vehicle dynamic, the environment, and the economy. Connected vehicle technologies have already been used to improve fleet safety and efficiency, with emerging technologies additionally allowing data to be used to inform aspects of vehicle design, ownership, and use. While the demand for connected vehicles and its enabling technology has progressed significantly in recent years, there remain challenges to connected and collaborative vehicle application deployment before the full potential of connected cars may be realized. From extensibility and scalability to privacy and security, this paper informs the reader about key enabling technologies, opportunities, and challenges in the connected vehicle landscape.

Subfields: Automotive Engineering, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/32f881dc5bfbffc053beb8a7ced09d7fa96e7533

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In Automotive Engineering

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In Electrical and Electronic Engineering

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  2. Khaled Ben Letaief
  3. Christos Masouros
  4. Derrick Wing Kwan Ng
  5. Jun Zhang
  6. Weijie Yuan
  7. Celimuge Wu
  8. Yusheng Ji

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