Abstract
The Internet of Things (IoT) connects many sensors to the internet so that it will provide services and applications for smart cities. Vehicles connected to the internet can communicate, sense, analyze and also make decision on their own. Vehicular Cloud (VC) is new idea proposed to enhance vehicular services through mobile cloud computing and networking. This proposed paper highlights an Intelligent Transportation System (ITS) which provides creative applications and services related to traffic management and also to access the information for various users. A model is developed taking picture of vehicles in detail, time of availability of vehicle in a given region. A new paradigm to collect the data for tracking the intelligent system in vehicular communication is considered. The simulation results are produced regarding involvement of vehicles in low percentage in dynamic VCN which provides data for intelligent system.
| Original language | English |
|---|---|
| Title of host publication | 2022 4th International Conference on Cognitive Computing and Information Processing, CCIP 2022 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9781665456487 |
| DOIs | |
| Publication status | Published - 2022 |
| Event | 4th International Conference on Cognitive Computing and Information Processing, CCIP 2022 - Bengaluru, India Duration: 23-12-2022 → 24-12-2022 |
Publication series
| Name | 2022 4th International Conference on Cognitive Computing and Information Processing, CCIP 2022 |
|---|
Conference
| Conference | 4th International Conference on Cognitive Computing and Information Processing, CCIP 2022 |
|---|---|
| Country/Territory | India |
| City | Bengaluru |
| Period | 23-12-22 → 24-12-22 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 11 Sustainable Cities and Communities
All Science Journal Classification (ASJC) codes
- Artificial Intelligence
- Computer Networks and Communications
- Computer Science Applications
- Computer Vision and Pattern Recognition
- Information Systems
- Signal Processing
- Information Systems and Management
- Cognitive Neuroscience
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