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Towards Connected and Automated Transportation Systems : = Design and Applications.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Towards Connected and Automated Transportation Systems :/
Reminder of title:	Design and Applications.
Author:	Hajiaghajani Memar, Foad.
Description:	1 online resource (123 pages)
Notes:	Source: Dissertations Abstracts International, Volume: 84-12, Section: A.
Contained By:	Dissertations Abstracts International84-12A.
Subject:	Computer science. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30489838click for full text (PQDT)
ISBN:	9798379735791

Towards Connected and Automated Transportation Systems : = Design and Applications.
Hajiaghajani Memar, Foad.

Towards Connected and Automated Transportation Systems :Design and Applications. - 1 online resource (123 pages)

Source: Dissertations Abstracts International, Volume: 84-12, Section: A.

Thesis (Ph.D.)--State University of New York at Buffalo, 2023.

Includes bibliographical references

Intelligent Transportation Systems (ITS) use advanced computation and communication technologies to enhance traffic safety, comfort, and efficiency. However, the latest developments in connected and autonomous transportation systems have introduced new challenges, such as network congestion, safety, and security issues, sensing limitations, platform heterogeneity, and the efficiency of autonomous algorithms. In this dissertation, we aim to address these challenges by enabling cooperative solutions for ITS.We propose a distributed message rate adaptation framework for vehicle-to-vehicle (V2V) communication systems, which takes into account both rear-end collision risk and channel congestion. Moreover, we present an autonomous flagging system for roadway work zones through inter-infrastructure collaborative sensing. We also investigate a scalable communication architecture for UB's connected autonomous vehicle (CAV) proving ground, leveraging vehicle-to-infrastructure (V2I) communications. Our proposed architecture enables end-to-end information exchange between CAVs and infrastructure across different applications, such as CAV tele-operation, road weather information dissemination, signal phase and timing (SPaT) broadcasting, LiDAR-based collaborative perception, and augmented reality for CAV testing and evaluation.Our research aims to address the challenges associated with the emerging field of connected and autonomous transportation systems, while fostering cooperative solutions for ITS to enhance traffic safety, comfort, and efficiency. The proposed solutions have the potential to be implemented in a wide range of real-world scenarios.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2023

Mode of access: World Wide Web

ISBN: 9798379735791Subjects--Topical Terms:

523869
Computer science.
Subjects--Index Terms:

Connected autonomous vehiclesIndex Terms--Genre/Form:

542853
Electronic books.

Towards Connected and Automated Transportation Systems : = Design and Applications.
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500 $a Source: Dissertations Abstracts International, Volume: 84-12, Section: A.
500 $a Advisor: Qiao, Chunming.
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504 $a Includes bibliographical references
520 $a Intelligent Transportation Systems (ITS) use advanced computation and communication technologies to enhance traffic safety, comfort, and efficiency. However, the latest developments in connected and autonomous transportation systems have introduced new challenges, such as network congestion, safety, and security issues, sensing limitations, platform heterogeneity, and the efficiency of autonomous algorithms. In this dissertation, we aim to address these challenges by enabling cooperative solutions for ITS.We propose a distributed message rate adaptation framework for vehicle-to-vehicle (V2V) communication systems, which takes into account both rear-end collision risk and channel congestion. Moreover, we present an autonomous flagging system for roadway work zones through inter-infrastructure collaborative sensing. We also investigate a scalable communication architecture for UB's connected autonomous vehicle (CAV) proving ground, leveraging vehicle-to-infrastructure (V2I) communications. Our proposed architecture enables end-to-end information exchange between CAVs and infrastructure across different applications, such as CAV tele-operation, road weather information dissemination, signal phase and timing (SPaT) broadcasting, LiDAR-based collaborative perception, and augmented reality for CAV testing and evaluation.Our research aims to address the challenges associated with the emerging field of connected and autonomous transportation systems, while fostering cooperative solutions for ITS to enhance traffic safety, comfort, and efficiency. The proposed solutions have the potential to be implemented in a wide range of real-world scenarios.
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650 4 $a Computer engineering. $3 621879
650 4 $a Automotive engineering. $3 2181195
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653 $a Robotics
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653 $a Vehicle-to-vehicle
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