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Connected and automated driving vehicles have become a present and near future reality. There are already a slowly increasing number of trucks that do autonomous test drives on highways. Level 3 Highway Chauffeur applications are expected to be on the market as early as 2020 and Level 4 Highway Pilot applications are expected to be available around 2025. There is also a drive towards smarter cities with smarter mobility choices that include the use of smaller, lower speed automated driving vehicles. This paper proposes a unified basic computing, sensing, communication and actuation architecture and scalable and replicable automated driving control systems built upon that architecture. A passenger sedan and a small electric vehicle are used to illustrate the application of the proposed unified architecture to these two different sized vehicles. Their automation along with a scalable control algorithm for path following are used for presenting the scalability and replicability of the unified architecture proposed in this paper.
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SmartShuttle: a unified, scalable and replicable approach to connected and automated driving in a smart city
This paper is on low speed connected and automated driving shuttles in a smart city. Based on examples available in the literature and the past experience of the authors, this paper proposes the use of a unified computing, sensing, communication and actuation architecture for connected and automated driving. It is postulated that this unified architecture will also lead to a scalable and replicable approach. Two vehicles representing a passenger car and a small electric shuttle for smart mobility in a smart city are chosen as the two examples for demonstrating scalability and replicability. For this purpose, the architecture in the passenger car is transferred to the small electric vehicle and used in its automation. The parametric control design approach that we are using to achieve scalable automated driving controllers is presented in the paper along with a discussion of how to evaluate performance and a brief description of the planned proof-of-concept test deployment.
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- Award ID(s):
- 1640308
- PAR ID:
- 10026189
- Date Published:
- Journal Name:
- SCOPE '17 Proceedings of the 2nd International Workshop on Science of Smart City Operations and Platforms Engineering
- Page Range / eLocation ID:
- 57 to 62
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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- Free Publicly Accessible Full Text
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Accepted Manuscript1.0
- Conference Paper:
- https://doi.org/10.1145/3063386.3063761
