A Principled Analysis of the Interrelation Between Vehicular Communication and Reasoning Capabilities of Autonomous Vehicles

Mauro Vallati, Lukáš Chrpa

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The current growth in urbanisation is posing serious problems in urban areas worldwide. Traditional traffic control tools, such as SCOOT and SCATS, are widely exploited in major cities, but given the increasing traffic demands, they
need to be complemented with additional mechanisms. Within this context, the emerging interest in autonomous vehicles (AVs) points to the direction of a paradigm shift in the way in which traffic is controlled and managed. This is due to the fact that AVs can exploit different types of communication, hence take better informed decisions. Despite the amount of work dedicated to engineering solutions for supporting and implementing the different types of vehicular communication, there is a lack of analysis focusing on the implications of
exploiting one (or more) type of communication. In this work, focusing on urban areas, we provide a principled and detailed analysis of the impact of different kinds of communication on reasoning capabilities of vehicles and of urban traffic control (e.g. level of deliberation). The outcome of the performed analysis can then be fruitfully exploited by experts to better understand and support communication and reasoning, according to the needs of the controlled areas.
Original languageEnglish
Title of host publicationProceedings of the 21st IEEE International Conference on Intelligent Transportation Systems (ITSC)
PublisherIEEE
Pages3761-3766
Number of pages6
ISBN (Electronic)9781728103235
ISBN (Print)9781728103211, 9781728103242
DOIs
Publication statusPublished - 7 Dec 2018

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Communication
Traffic control

Cite this

Vallati, M., & Chrpa, L. (2018). A Principled Analysis of the Interrelation Between Vehicular Communication and Reasoning Capabilities of Autonomous Vehicles. In Proceedings of the 21st IEEE International Conference on Intelligent Transportation Systems (ITSC) (pp. 3761-3766). [8569953] IEEE. https://doi.org/10.1109/ITSC.2018.8569953
Vallati, Mauro ; Chrpa, Lukáš. / A Principled Analysis of the Interrelation Between Vehicular Communication and Reasoning Capabilities of Autonomous Vehicles. Proceedings of the 21st IEEE International Conference on Intelligent Transportation Systems (ITSC). IEEE, 2018. pp. 3761-3766
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abstract = "The current growth in urbanisation is posing serious problems in urban areas worldwide. Traditional traffic control tools, such as SCOOT and SCATS, are widely exploited in major cities, but given the increasing traffic demands, theyneed to be complemented with additional mechanisms. Within this context, the emerging interest in autonomous vehicles (AVs) points to the direction of a paradigm shift in the way in which traffic is controlled and managed. This is due to the fact that AVs can exploit different types of communication, hence take better informed decisions. Despite the amount of work dedicated to engineering solutions for supporting and implementing the different types of vehicular communication, there is a lack of analysis focusing on the implications ofexploiting one (or more) type of communication. In this work, focusing on urban areas, we provide a principled and detailed analysis of the impact of different kinds of communication on reasoning capabilities of vehicles and of urban traffic control (e.g. level of deliberation). The outcome of the performed analysis can then be fruitfully exploited by experts to better understand and support communication and reasoning, according to the needs of the controlled areas.",
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Vallati, M & Chrpa, L 2018, A Principled Analysis of the Interrelation Between Vehicular Communication and Reasoning Capabilities of Autonomous Vehicles. in Proceedings of the 21st IEEE International Conference on Intelligent Transportation Systems (ITSC)., 8569953, IEEE, pp. 3761-3766. https://doi.org/10.1109/ITSC.2018.8569953

A Principled Analysis of the Interrelation Between Vehicular Communication and Reasoning Capabilities of Autonomous Vehicles. / Vallati, Mauro; Chrpa, Lukáš.

Proceedings of the 21st IEEE International Conference on Intelligent Transportation Systems (ITSC). IEEE, 2018. p. 3761-3766 8569953.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Vallati M, Chrpa L. A Principled Analysis of the Interrelation Between Vehicular Communication and Reasoning Capabilities of Autonomous Vehicles. In Proceedings of the 21st IEEE International Conference on Intelligent Transportation Systems (ITSC). IEEE. 2018. p. 3761-3766. 8569953 https://doi.org/10.1109/ITSC.2018.8569953