Intelligent Transportation Related Complex Systems and Sensors

Building around innovative services related to different modes of transport and traffic management, intelligent transport systems (ITSs) are being widely adopted world- wide to improve the efficiency and safety of the transportation system. They enable users to be better informed and make safer, mor...

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Tác giả chính: Kyandoghere Kyamakya, Jean Chamberlain Chedjou, Fadi Al-Machot, Ahmad Haj Mosa, Antoine Bagula
Ngôn ngữ:English
Thông tin xuất bản: MDPI 2023
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Truy cập trực tuyến:https://digital.lib.ueh.edu.vn/handle/UEH/69611
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spelling oai:localhost:UEH-696112023-10-07T03:01:41Z Intelligent Transportation Related Complex Systems and Sensors Kyandoghere Kyamakya Jean Chamberlain Chedjou Fadi Al-Machot Ahmad Haj Mosa Antoine Bagula Road traffic Building around innovative services related to different modes of transport and traffic management, intelligent transport systems (ITSs) are being widely adopted world- wide to improve the efficiency and safety of the transportation system. They enable users to be better informed and make safer, more coordinated, and smarter decisions on the use of transport networks. Current ITSs are complex systems, made up of several components/sub-systems characterized by time-dependent interactions among themselves. Some examples of these transportation-related complex systems include road traffic sensors, autonomous/automated cars, smart cities, smart sensors, virtual sensors, traffic control systems, smart roads, logistics systems, smart mobility systems, and many others that are emerging from niche areas. The efficient operation of these complex systems require (i) efficient solutions to the issues of sensors/actuators used to capture and control the physical parameters of these systems as well as the quality of data collected from these systems; (ii) tackling complexities using simulations and analytical modelling techniques; (iii) applying optimization techniques to improve the performance of these systems. This book out of the Special Issue on Intelligent Transportation Related Complex Systems and Sensors emerges as a result of the crucial need for improving transportation support in different domains and parts of the world by finding solutions to the rich yet non-trial and unexpected behaviour resulting from the complexity of ITS. It includes twenty-four papers, which cover scientific concepts, frameworks, architectures, and various other ideas on analytics, trends, and applications of transportation related data. The 24 papers/chapters contained in this book propose solutions to various issues and broadly grouped into four classes/parts, namely, the following ones: 1. Traffic safety and security. 2. Autonomy and path planning. 3. Traffic density. 4. Traffic analytics and prediction. 2023-10-05T09:56:04Z 2023-10-05T09:56:04Z 2021 978-3-0365-0849-8 https://digital.lib.ueh.edu.vn/handle/UEH/69611 en reserved pdf MDPI
institution Đại học Kinh tế Thành phố Hồ Chí Minh
collection DSpaceUEH
language English
topic Road traffic
spellingShingle Road traffic
Kyandoghere Kyamakya
Jean Chamberlain Chedjou
Fadi Al-Machot
Ahmad Haj Mosa
Antoine Bagula
Intelligent Transportation Related Complex Systems and Sensors
description Building around innovative services related to different modes of transport and traffic management, intelligent transport systems (ITSs) are being widely adopted world- wide to improve the efficiency and safety of the transportation system. They enable users to be better informed and make safer, more coordinated, and smarter decisions on the use of transport networks. Current ITSs are complex systems, made up of several components/sub-systems characterized by time-dependent interactions among themselves. Some examples of these transportation-related complex systems include road traffic sensors, autonomous/automated cars, smart cities, smart sensors, virtual sensors, traffic control systems, smart roads, logistics systems, smart mobility systems, and many others that are emerging from niche areas. The efficient operation of these complex systems require (i) efficient solutions to the issues of sensors/actuators used to capture and control the physical parameters of these systems as well as the quality of data collected from these systems; (ii) tackling complexities using simulations and analytical modelling techniques; (iii) applying optimization techniques to improve the performance of these systems. This book out of the Special Issue on Intelligent Transportation Related Complex Systems and Sensors emerges as a result of the crucial need for improving transportation support in different domains and parts of the world by finding solutions to the rich yet non-trial and unexpected behaviour resulting from the complexity of ITS. It includes twenty-four papers, which cover scientific concepts, frameworks, architectures, and various other ideas on analytics, trends, and applications of transportation related data. The 24 papers/chapters contained in this book propose solutions to various issues and broadly grouped into four classes/parts, namely, the following ones: 1. Traffic safety and security. 2. Autonomy and path planning. 3. Traffic density. 4. Traffic analytics and prediction.
author Kyandoghere Kyamakya
Jean Chamberlain Chedjou
Fadi Al-Machot
Ahmad Haj Mosa
Antoine Bagula
author_facet Kyandoghere Kyamakya
Jean Chamberlain Chedjou
Fadi Al-Machot
Ahmad Haj Mosa
Antoine Bagula
author_sort Kyandoghere Kyamakya
title Intelligent Transportation Related Complex Systems and Sensors
title_short Intelligent Transportation Related Complex Systems and Sensors
title_full Intelligent Transportation Related Complex Systems and Sensors
title_fullStr Intelligent Transportation Related Complex Systems and Sensors
title_full_unstemmed Intelligent Transportation Related Complex Systems and Sensors
title_sort intelligent transportation related complex systems and sensors
publisher MDPI
publishDate 2023
url https://digital.lib.ueh.edu.vn/handle/UEH/69611
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