東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Cooperative Traffic Control Solution...

Caserini, Stefano .

Linked to FindBook

Google Book

Amazon

博客來

Cooperative Traffic Control Solution for Vehicle Transition from Autonomous to Manual Mode Exploiting Cellular Vehicle-to-everything (C-V2X) Technology.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Cooperative Traffic Control Solution for Vehicle Transition from Autonomous to Manual Mode Exploiting Cellular Vehicle-to-everything (C-V2X) Technology./
Author:	Caserini, Stefano .
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2019,
Description:	116 p.
Notes:	Source: Masters Abstracts International, Volume: 81-06.
Contained By:	Masters Abstracts International81-06.
Subject:	Automotive engineering. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=27540864
ISBN:	9781392581681

Cooperative Traffic Control Solution for Vehicle Transition from Autonomous to Manual Mode Exploiting Cellular Vehicle-to-everything (C-V2X) Technology.
Caserini, Stefano .

Cooperative Traffic Control Solution for Vehicle Transition from Autonomous to Manual Mode Exploiting Cellular Vehicle-to-everything (C-V2X) Technology. - Ann Arbor : ProQuest Dissertations & Theses, 2019 - 116 p.

Source: Masters Abstracts International, Volume: 81-06.

Thesis (M.A.Sc.)--University of Windsor (Canada), 2019.

This item must not be sold to any third party vendors.

Nowadays, automated vehicles represent a promising technology to face the stringent requirements for safety and traffic efficiency in the automotive environment. Driving responsibilities will be gradually addressed to the machine, and the role of human pilots will be progressively reduced to passengers. The interaction between passengers and the automated system will create different risks that have not been considered in the past. In particular, the transition between autonomous and manual mode is understood as a risky situation. During the transition, the driver manifests driving irregularities and loss of situation awareness that may endanger himself and other participants on the road. Hence, the vehicle transitioning needs a higher quantity of space around it to be considered safe. However, no effective solution has been developed yet. This thesis aims to design a cooperative traffic control solution that will manage the movements of the group of vehicles to increase the free space around the one transitioning. It will exploit another tool that will play a fundamental role in the future of the automotive industry: connected vehicles technology. C-V2X technology will create a medium for vehicles to exchange information and cooperate. A controller managing the cooperation between vehicles has been developed to help a smooth and safe vehicle repositioning. The controller will be positioned in a centralized computing facility and it will communicate with all the vehicles. The controller defines rules to move vehicles together and enlarge the free space around the vehicle transitioning without collisions. The rules are modeled by a spring-mass-damper system, that can be exploited to control the longitudinal behavior of automated vehicles. In particular, the spring-mass-damper system can manage smooth migration between vehicle dispositions without oscillations. A computer simulation is used to test the performance of the proposed traffic control system. The simulation environment is constituted by three main components: traffic flow, controller and communication network. It has been tested with the software VEINS, which provides interaction between a network simulator (OMNeT++) and a traffic simulator (SUMO). The traffic flow represents the interactions between vehicles. The controller analyzes the data and sends control messages to all vehicles. The communication network will share the data concerning vehicles' position and speed and control messages. The proposed cooperative vehicle control system demonstrated to reduce the risks of the transition with the smooth motion of vehicles. The controller is able to achieve the safety requirements without reducing the level of comfortability of vehicles' passengers.

ISBN: 9781392581681Subjects--Topical Terms:

2181195
Automotive engineering.
Subjects--Index Terms:

C-V2X

Cooperative Traffic Control Solution for Vehicle Transition from Autonomous to Manual Mode Exploiting Cellular Vehicle-to-everything (C-V2X) Technology.
LDR:03861nmm a2200325 4500 001 2267830
005 20200821052213.5
008 220629s2019 ||||||||||||||||| ||eng d
020 $a 9781392581681
035 $a (MiAaPQ)AAI27540864
035 $a AAI27540864
040 $a MiAaPQ $c MiAaPQ
100 1 $a Caserini, Stefano . $3 3545085
245 1 0 $a Cooperative Traffic Control Solution for Vehicle Transition from Autonomous to Manual Mode Exploiting Cellular Vehicle-to-everything (C-V2X) Technology.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2019
300 $a 116 p.
500 $a Source: Masters Abstracts International, Volume: 81-06.
500 $a Advisor: Kim, Yong H;Johrendt, Jennifer.
502 $a Thesis (M.A.Sc.)--University of Windsor (Canada), 2019.
506 $a This item must not be sold to any third party vendors.
520 $a Nowadays, automated vehicles represent a promising technology to face the stringent requirements for safety and traffic efficiency in the automotive environment. Driving responsibilities will be gradually addressed to the machine, and the role of human pilots will be progressively reduced to passengers. The interaction between passengers and the automated system will create different risks that have not been considered in the past. In particular, the transition between autonomous and manual mode is understood as a risky situation. During the transition, the driver manifests driving irregularities and loss of situation awareness that may endanger himself and other participants on the road. Hence, the vehicle transitioning needs a higher quantity of space around it to be considered safe. However, no effective solution has been developed yet. This thesis aims to design a cooperative traffic control solution that will manage the movements of the group of vehicles to increase the free space around the one transitioning. It will exploit another tool that will play a fundamental role in the future of the automotive industry: connected vehicles technology. C-V2X technology will create a medium for vehicles to exchange information and cooperate. A controller managing the cooperation between vehicles has been developed to help a smooth and safe vehicle repositioning. The controller will be positioned in a centralized computing facility and it will communicate with all the vehicles. The controller defines rules to move vehicles together and enlarge the free space around the vehicle transitioning without collisions. The rules are modeled by a spring-mass-damper system, that can be exploited to control the longitudinal behavior of automated vehicles. In particular, the spring-mass-damper system can manage smooth migration between vehicle dispositions without oscillations. A computer simulation is used to test the performance of the proposed traffic control system. The simulation environment is constituted by three main components: traffic flow, controller and communication network. It has been tested with the software VEINS, which provides interaction between a network simulator (OMNeT++) and a traffic simulator (SUMO). The traffic flow represents the interactions between vehicles. The controller analyzes the data and sends control messages to all vehicles. The communication network will share the data concerning vehicles' position and speed and control messages. The proposed cooperative vehicle control system demonstrated to reduce the risks of the transition with the smooth motion of vehicles. The controller is able to achieve the safety requirements without reducing the level of comfortability of vehicles' passengers.
590 $a School code: 0115.
650 4 $a Automotive engineering. $3 2181195
650 4 $a Communication. $3 524709
653 $a C-V2X
653 $a transition
690 $a 0540
690 $a 0459
710 2 $a University of Windsor (Canada). $b MECHANICAL ENGINEERING. $3 2093247
773 0 $t Masters Abstracts International $g 81-06.
790 $a 0115
791 $a M.A.Sc.
792 $a 2019
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=27540864