Publication

Abstract : Summary: An advanced vehicular communication patterns are also developed for connecting the intelligent transportation system in the world. Machine learning is used to improve communication between intelligent transportation systems and humans. This will be made possible by the introduction of the 6G networks and the advancement of the vehicular Ad hoc networks (VANET). It offers passengers and drivers a convenient, efficient mode of transportation. Transportation by intelligent means already exists but it is not currently under regulation because of its latency and scalability problems. To deal with the security, latency, connectivity, and scalability problems, the integrated type of system that casts off edge/fog/cloud computing is employed. The architecture consists of fuzzy based Network objects that improve SDN control of VANET resources. The optimized edge/fog/cloud architecture used a decision-making technique. This intelligent monitoring system for driver includes units that control the temperature state of the car, engine noise level, fuel supply, ECG, EEG, EOG wave analysis, and also monitors the driver's status. For collecting real-time information, the Internet of Things (IoT) will be crucial. The proposed integrated system ensures safe and secure transportation, offering a very comfortable and secure atmosphere for everyone and reducing the fatal rate.