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Engineering collectives of self-driving vehicles: the SOTA approach

Engineering collectives of self-driving vehicles: the SOTA approach
Engineering collectives of self-driving vehicles: the SOTA approach
Future cities will be populated by myriads of autonomous self-driving vehicles. Although individual vehicles have their own goals to pursue in autonomy, they may also be part of a collective of vehicles, as in the case of a fleet of vehicles of a car sharing company. Accordingly, they may also be required to act in a coordinated way towards the achievement of specific collective goals, or to meet specific city-level objectives. This raises the issue of properly engineering the behavior of such collective of vehicles, by properly capturing their collective requirements also in consideration of their individual goals, and understanding which knowledge about the state of the collective they must be provided with. In this context, this paper shows how the SOTA model can be a very effective tool to support the engineering of self-driving vehicle collectives. SOTA, by bringing together the lessons of goal-oriented requirements engineering, context-aware systems, and dynamical systems modeling, has indeed the potential for acting as a general reference model to help tackle some key issues in the design and development of complex collective systems immersed in dynamic environments, as collectives of self-driving vehicles are.
Self-driving vehicles, Software engineering, Self-adaptation
0302-9743
79-93
Springer, Cham
Abeywickrama, Dhaminda
26deaed0-28a7-478e-9a8f-6f20113d2956
Mamei, Marco
271b4364-a6de-4e07-a51c-6fca58fc1c5c
Zambonelli, Franco
44f98db8-71cd-4660-9d82-1f50aeb4b2fc
Margaria, T.
Steffen, B.
Abeywickrama, Dhaminda
26deaed0-28a7-478e-9a8f-6f20113d2956
Mamei, Marco
271b4364-a6de-4e07-a51c-6fca58fc1c5c
Zambonelli, Franco
44f98db8-71cd-4660-9d82-1f50aeb4b2fc
Margaria, T.
Steffen, B.

Abeywickrama, Dhaminda, Mamei, Marco and Zambonelli, Franco (2018) Engineering collectives of self-driving vehicles: the SOTA approach. In, Margaria, T. and Steffen, B. (eds.) Leveraging Applications of Formal Methods, Verification and Validation: Distributed Systems. ISoLA 2018. (Lecture Notes in Computer Science, , (doi:10.1007/978-3-030-03424-5_6), 11246) Springer, Cham, pp. 79-93. (doi:10.1007/978-3-030-03424-5_6).

Record type: Book Section

Abstract

Future cities will be populated by myriads of autonomous self-driving vehicles. Although individual vehicles have their own goals to pursue in autonomy, they may also be part of a collective of vehicles, as in the case of a fleet of vehicles of a car sharing company. Accordingly, they may also be required to act in a coordinated way towards the achievement of specific collective goals, or to meet specific city-level objectives. This raises the issue of properly engineering the behavior of such collective of vehicles, by properly capturing their collective requirements also in consideration of their individual goals, and understanding which knowledge about the state of the collective they must be provided with. In this context, this paper shows how the SOTA model can be a very effective tool to support the engineering of self-driving vehicle collectives. SOTA, by bringing together the lessons of goal-oriented requirements engineering, context-aware systems, and dynamical systems modeling, has indeed the potential for acting as a general reference model to help tackle some key issues in the design and development of complex collective systems immersed in dynamic environments, as collectives of self-driving vehicles are.

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SOTA-ISOLA18 - Accepted Manuscript
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More information

Accepted/In Press date: 25 June 2018
e-pub ahead of print date: 31 October 2018
Keywords: Self-driving vehicles, Software engineering, Self-adaptation

Identifiers

Local EPrints ID: 429180
URI: https://eprints.soton.ac.uk/id/eprint/429180
ISSN: 0302-9743
PURE UUID: 67a45528-c5aa-409d-81ae-4bd7eb524b2e

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Date deposited: 22 Mar 2019 17:30
Last modified: 01 Nov 2019 05:01

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Contributors

Author: Dhaminda Abeywickrama
Author: Marco Mamei
Author: Franco Zambonelli
Editor: T. Margaria
Editor: B. Steffen

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