Modeling and optimizing IoT-driven autonomous vehicle transportation systems using intelligent multimedia sensors

With the rapid development of the Internet of Things (IoT) communication system, a huge number of devices are interconnected to sense the unpredictable environment. These systems are needed to manage a lot of varied data in addition to facilitating human lives. With the use of sensors, vehicles exch...

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Veröffentlicht in:Multimedia tools and applications Jg. 84; H. 29; S. 35427 - 35441
Hauptverfasser: Rehman, Amjad, Saba, Tanzila, Haseeb, Khalid, Jeon, Gwanggil, Alam, Teg
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York Springer US 01.09.2025
Springer Nature B.V
Schlagworte:
1231: IoT-driven Computer Vision Technology for Smart Transportation Applications
Access control
Algorithms
Autonomous vehicles
Blockchain
Communications systems
Computer Communication Networks
Computer Science
Data Structures and Information Theory
Deep learning
Energy efficiency
Infrastructure
Intelligence
Intelligent transportation systems
Intelligent vehicles
Internet access
Internet of Things
Multimedia
Multimedia Information Systems
Optimization
Privacy
Roads & highways
Route optimization
Security systems
Sensors
Smart cities
Special Purpose and Application-Based Systems
Surveillance
Systems design
Transportation applications
Transportation planning
Green computing
Transportation problem
Next-generation technologies
Multimedia traffic
Route optimization
Devices security
ISSN:1573-7721, 1380-7501, 1573-7721
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Zusammenfassung:With the rapid development of the Internet of Things (IoT) communication system, a huge number of devices are interconnected to sense the unpredictable environment. These systems are needed to manage a lot of varied data in addition to facilitating human lives. With the use of sensors, vehicles exchange multimedia data in smart transportation applications and subsequently give useful information to the road. Many approaches have been proposed to overcome the route optimization problems in improving the transportation system, but a major study is still needed to address intelligence in the context of autonomous processing with lower route reconstruction. Data privacy and the assurance of its integrity are also crucial components of the transportation system since vehicles use next-generation technology to carry roadway information. To cope with vehicle communication through unreliable wireless infrastructure and effectively use the resources of the communication model, this work proposed a smart vehicular algorithm employing an IoT system (SVA-IoT). Firstly, it guarantees the reliability of the intelligent transportation system (ITS) with heuristic computing and decreases the overhead on the devices. Second, route optimization is carried out to balance the load on parallel routes while transmitting highway information, as a result, it increases the intelligence of smart vehicle systems. In the end, authentic devices are identified to establish a secure and trusted communication structure. The proposed technique is tested through a variety of simulated experiments, and the findings show considerable improvement over existing work.
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ISSN:1573-7721
1380-7501
1573-7721
DOI:10.1007/s11042-023-15563-y