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Connected Vehicles in 5G Network : = Intersection Management, Routing Optimization, and Communication-Delay Analysis.

Record Type:	Language materials, manuscript : Monograph/item
Title/Author:	Connected Vehicles in 5G Network :/
Reminder of title:	Intersection Management, Routing Optimization, and Communication-Delay Analysis.
Author:	Wang, Michael I-Chih.
Description:	1 online resource (169 pages)
Notes:	Source: Dissertations Abstracts International, Volume: 84-11, Section: B.
Contained By:	Dissertations Abstracts International84-11B.
Subject:	Transportation. -
Online resource:	click for full text (PQDT)
ISBN:	9798379546533

Connected Vehicles in 5G Network : = Intersection Management, Routing Optimization, and Communication-Delay Analysis.
Wang, Michael I-Chih.

Connected Vehicles in 5G Network :Intersection Management, Routing Optimization, and Communication-Delay Analysis. - 1 online resource (169 pages)

Source: Dissertations Abstracts International, Volume: 84-11, Section: B.

Thesis (Ph.D.)--New York University Tandon School of Engineering, 2023.

Includes bibliographical references

Recent advances in communication technologies have facilitated Intelligent Transportation Systems (ITS), which enable Connected Autonomous Vehicles (CAVs) and replace traffic lights with Autonomous Intersection Management (AIM) for better road efficiency and safety. The future driving environment with CAVs and AIM has real-time traffic information and real-time CAV controls, which enable advanced traffic management mechanisms. The mechanisms can be summarized as three core problems: (1) intersection management and lane assignments in AIM, (2) interaction between AIM, CAV, and pedestrians, and (3) CAV routing in AIM-enabled environments.This dissertation presents three traffic management systems to target the three main challenges in ITS. To improve the intersection throughput, we design two AIM systems, Roadrunner, which combines intersection-usage scheduling with dynamic lane assignment, and Roadrunner+, which further cooperates with CAVs and pedestrians with spillback considered. Roadrunner+ increases intersection throughput by 102.53% when compared to traditional traffic-signal intersections. With real-time traffic status provided by Roadrunner+, road efficiency can be improved by optimizing CAV routes. To handle CAV-routing optimization, we design MARVEL, which enables hierarchical cooperation with the AIM systems and load balancing in the 5G/Multi-Access Edge Computing (MEC) environment. MARVEL can handle 15.68X more CAV routing requests than centralized routing. These three systems demonstrate the potential for traffic management of future intelligent transportation systems.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2024

Mode of access: World Wide Web

ISBN: 9798379546533Subjects--Topical Terms:

558117
Transportation.
Subjects--Index Terms:

Autonomous Intersection ManagementIndex Terms--Genre/Form:

554714
Electronic books.

Connected Vehicles in 5G Network : = Intersection Management, Routing Optimization, and Communication-Delay Analysis.
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653 $a Load balancing
653 $a Massive routing system
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