Shrewd vehicle framework model with a streamlined informed approach for green transportation in smart cities

Infrastructure is essential for the activity of a smart city in lighting framework, water conveyance system, smart monitoring infrastructure, and so on. Presently the transport framework is set at the task of such smart city by making smooth portability of the individuals and products, particularly...

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Main Authors: Tao, Hai, Wang, Jing, Yaseen, Zaher Mundher, Mohammed, Muamer N., Jasni, Mohamad Zain
Format: Article
Language:English
Published: Elsevier Inc. 2021
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/35174/
http://umpir.ump.edu.my/id/eprint/35174/1/Shrewd%20vehicle%20framework%20model%20with%20a%20streamlined%20informed%20approach%20for%20green%20transportation%20in%20smart%20cities.pdf
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author Tao, Hai
Wang, Jing
Yaseen, Zaher Mundher
Mohammed, Muamer N.
Jasni, Mohamad Zain
author_facet Tao, Hai
Wang, Jing
Yaseen, Zaher Mundher
Mohammed, Muamer N.
Jasni, Mohamad Zain
author_sort Tao, Hai
building UMP Institutional Repository
collection Online Access
description Infrastructure is essential for the activity of a smart city in lighting framework, water conveyance system, smart monitoring infrastructure, and so on. Presently the transport framework is set at the task of such smart city by making smooth portability of the individuals and products, particularly with the probability of managing traffic clog, giving up-dated information and in time data from the open transportation client, creating green methods for transportation (bicycle and vehicle sharing for example), and so on. This paper is highly engaged in keeping up the shrewd vehicle framework model with a streamlined informed approach, which has been planned and created depending on the Smart City segment. This smart model vehicle framework has added to the structure and planning for a smart city by making it increasingly important with a superior utilization of offices, less noisy, free of accidents, progressively conscious of condition with web organized analysis for utilizing data from the clients for adjusting the transportation administrations. Further, the ability to serve the client by giving it to them with open transportation and increasingly interconnected stations moves towards urban areas inside the city.
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publisher Elsevier Inc.
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spelling ump-351742022-11-07T06:47:03Z http://umpir.ump.edu.my/id/eprint/35174/ Shrewd vehicle framework model with a streamlined informed approach for green transportation in smart cities Tao, Hai Wang, Jing Yaseen, Zaher Mundher Mohammed, Muamer N. Jasni, Mohamad Zain QA75 Electronic computers. Computer science QA76 Computer software T Technology (General) TA Engineering (General). Civil engineering (General) Infrastructure is essential for the activity of a smart city in lighting framework, water conveyance system, smart monitoring infrastructure, and so on. Presently the transport framework is set at the task of such smart city by making smooth portability of the individuals and products, particularly with the probability of managing traffic clog, giving up-dated information and in time data from the open transportation client, creating green methods for transportation (bicycle and vehicle sharing for example), and so on. This paper is highly engaged in keeping up the shrewd vehicle framework model with a streamlined informed approach, which has been planned and created depending on the Smart City segment. This smart model vehicle framework has added to the structure and planning for a smart city by making it increasingly important with a superior utilization of offices, less noisy, free of accidents, progressively conscious of condition with web organized analysis for utilizing data from the clients for adjusting the transportation administrations. Further, the ability to serve the client by giving it to them with open transportation and increasingly interconnected stations moves towards urban areas inside the city. Elsevier Inc. 2021-03 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/35174/1/Shrewd%20vehicle%20framework%20model%20with%20a%20streamlined%20informed%20approach%20for%20green%20transportation%20in%20smart%20cities.pdf Tao, Hai and Wang, Jing and Yaseen, Zaher Mundher and Mohammed, Muamer N. and Jasni, Mohamad Zain (2021) Shrewd vehicle framework model with a streamlined informed approach for green transportation in smart cities. Environmental Impact Assessment Review, 87 (106542). pp. 1-11. ISSN 0195-9255. (Published) https://doi.org/10.1016/j.eiar.2020.106542 https://doi.org/10.1016/j.eiar.2020.106542
spellingShingle QA75 Electronic computers. Computer science
QA76 Computer software
T Technology (General)
TA Engineering (General). Civil engineering (General)
Tao, Hai
Wang, Jing
Yaseen, Zaher Mundher
Mohammed, Muamer N.
Jasni, Mohamad Zain
Shrewd vehicle framework model with a streamlined informed approach for green transportation in smart cities
title Shrewd vehicle framework model with a streamlined informed approach for green transportation in smart cities
title_full Shrewd vehicle framework model with a streamlined informed approach for green transportation in smart cities
title_fullStr Shrewd vehicle framework model with a streamlined informed approach for green transportation in smart cities
title_full_unstemmed Shrewd vehicle framework model with a streamlined informed approach for green transportation in smart cities
title_short Shrewd vehicle framework model with a streamlined informed approach for green transportation in smart cities
title_sort shrewd vehicle framework model with a streamlined informed approach for green transportation in smart cities
topic QA75 Electronic computers. Computer science
QA76 Computer software
T Technology (General)
TA Engineering (General). Civil engineering (General)
url http://umpir.ump.edu.my/id/eprint/35174/
http://umpir.ump.edu.my/id/eprint/35174/
http://umpir.ump.edu.my/id/eprint/35174/
http://umpir.ump.edu.my/id/eprint/35174/1/Shrewd%20vehicle%20framework%20model%20with%20a%20streamlined%20informed%20approach%20for%20green%20transportation%20in%20smart%20cities.pdf