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IEEE Final Year Project Topics for CSE

Base Paper Title

ACO-based Dynamic Decision Making forConnected Vehicles in IoT System

Our Title

IEEE Project Abstract

With the rapid development of the Internet of things(IoT), connected vehicles are set to become a huge industry over the next few years. In this study, we takes an investigation of the distributed intelligent traffic system by pushing intelligence into connected vehicles in terms of dynamic decision making for traversing a certain area (e.g., roundabout, and intersection).In particular, we propose a model for the next generation of Intelligent Transportation System (ITS) which focuses on dynamic decision making of connected vehicles based on ant colony optimization, a typical Swarm Intelligence (SI)-based algorithm.Specifically, we first present a communication framework among connected vehicles for sharing information of traffic flow. Then,by applying the concept of SI, connected vehicles are regarded a sacrificial ants which are able to self-calculate to make an adaptive decision following the dynamic of traffic flow. Furthermore,for evaluating the effectiveness of the proposed approach, we have constructed a framework to model and simulate the traffic system in IoT environment. Simulations with different scenarios of transportation systems indicate promising results comparing with previous works.

Existing System

Drawback of Existing System

Proposed System

Advantage of Proposed System

Enhancement from Base Paper

Architecture

Technology Used : Hardware & Software

Existing Algorithm

Proposed Algorithm

Advantages of Proposed Algorithm

Project Modules

Literature Survey

Conclusion

Future Work

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