Intelligent Urban Cities: Optimal Path Selection Based on Ad Hoc Network
Fusion of internet of things (IoT) and artificial intelligence for smart cities has allowed structured policy making.In particular, traffic jam is one of the serious concern in metropolitan cities. In advanced countries, specific devices are installed to assemble flow of traffic. The state of traffi...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2023-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9792238/ |
| _version_ | 1827999949828128768 |
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| author | Muhammad Usman Ghani Khan Mourad Elhadef Abid Mehmood |
| author_facet | Muhammad Usman Ghani Khan Mourad Elhadef Abid Mehmood |
| author_sort | Muhammad Usman Ghani Khan |
| collection | DOAJ |
| description | Fusion of internet of things (IoT) and artificial intelligence for smart cities has allowed structured policy making.In particular, traffic jam is one of the serious concern in metropolitan cities. In advanced countries, specific devices are installed to assemble flow of traffic. The state of traffic is streamed to commuters through network. This dependency on internet connection results in inappropriate solution in absence of stable physical infrastructure. The developing countries lack availability of internet on roadway and urban zones face even worst condition. This study proposes a smart framework to enable optimal path selection by communicating with neighbouring devices. The android smart phones serve the purpose of embedded sensors. A temporary network is created for smart transportation system. Data processing and cleaning were conducted on different routes of two urban cities. The proposed system is evaluated on conventional and proposed optimal path selection techniques. Computed results depict that travel times have been decreased to around 23.3% in comparison to conventional methods using MDSP algorithm. |
| first_indexed | 2024-04-10T06:06:29Z |
| format | Article |
| id | doaj.art-ad7212e0f2a94a5db52fd124cb298e3f |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-04-10T06:06:29Z |
| publishDate | 2023-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-ad7212e0f2a94a5db52fd124cb298e3f2023-03-03T00:01:03ZengIEEEIEEE Access2169-35362023-01-0111192591926810.1109/ACCESS.2022.31817439792238Intelligent Urban Cities: Optimal Path Selection Based on Ad Hoc NetworkMuhammad Usman Ghani Khan0https://orcid.org/0000-0001-6733-2569Mourad Elhadef1https://orcid.org/0000-0003-4085-7634Abid Mehmood2https://orcid.org/0000-0002-1468-7259Department of Computer Science, University of Engineering and Technology, Lahore, Punjab, PakistanCollege of Engineering, Abu Dhabi University, Abu Dhabi, United Arab EmiratesDepartment of Computer Science and Information Technology, College of Engineering, Abu Dhabi University, Abu Dhabi, United Arab EmiratesFusion of internet of things (IoT) and artificial intelligence for smart cities has allowed structured policy making.In particular, traffic jam is one of the serious concern in metropolitan cities. In advanced countries, specific devices are installed to assemble flow of traffic. The state of traffic is streamed to commuters through network. This dependency on internet connection results in inappropriate solution in absence of stable physical infrastructure. The developing countries lack availability of internet on roadway and urban zones face even worst condition. This study proposes a smart framework to enable optimal path selection by communicating with neighbouring devices. The android smart phones serve the purpose of embedded sensors. A temporary network is created for smart transportation system. Data processing and cleaning were conducted on different routes of two urban cities. The proposed system is evaluated on conventional and proposed optimal path selection techniques. Computed results depict that travel times have been decreased to around 23.3% in comparison to conventional methods using MDSP algorithm.https://ieeexplore.ieee.org/document/9792238/Optimal pathad hoc networkembedded sensorsIoT |
| spellingShingle | Muhammad Usman Ghani Khan Mourad Elhadef Abid Mehmood Intelligent Urban Cities: Optimal Path Selection Based on Ad Hoc Network IEEE Access Optimal path ad hoc network embedded sensors IoT |
| title | Intelligent Urban Cities: Optimal Path Selection Based on Ad Hoc Network |
| title_full | Intelligent Urban Cities: Optimal Path Selection Based on Ad Hoc Network |
| title_fullStr | Intelligent Urban Cities: Optimal Path Selection Based on Ad Hoc Network |
| title_full_unstemmed | Intelligent Urban Cities: Optimal Path Selection Based on Ad Hoc Network |
| title_short | Intelligent Urban Cities: Optimal Path Selection Based on Ad Hoc Network |
| title_sort | intelligent urban cities optimal path selection based on ad hoc network |
| topic | Optimal path ad hoc network embedded sensors IoT |
| url | https://ieeexplore.ieee.org/document/9792238/ |
| work_keys_str_mv | AT muhammadusmanghanikhan intelligenturbancitiesoptimalpathselectionbasedonadhocnetwork AT mouradelhadef intelligenturbancitiesoptimalpathselectionbasedonadhocnetwork AT abidmehmood intelligenturbancitiesoptimalpathselectionbasedonadhocnetwork |