April 28, 2024Proceedings of international conference on intelligent systems and new applications.Open Access

Challenges and Methods for Smart Transport System using Big Data Analytics and IOT

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Smart transport systems integrate big data analytics with internet of things devices to optimize traffic flow and safety, yet face critical barriers in scalability.
Analysis of existing literature and case studies indicates that data integration challenges and privacy risks consistently impede comprehensive transport deployment.
Highlights creative solutions to guide policymakers and practitioners, supporting more secure and scalable infrastructure across diverse municipal environments.

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Implication

Review examines implementation barriers and solutions for smart transport systems, highlighting key trade-offs between data integration, scalability, and security.

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Nithya et al. (2024) studied this question.

synapsesocial.com/papers/68e6d417b6db643587651653 https://doi.org/10.58190/icisna.2024.87

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Implication

Review examines implementation barriers and solutions for smart transport systems, highlighting key trade-offs between data integration, scalability, and security.

Challenges and Methods for Smart Transport System using Big Data Analytics and IOT

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Implication

Cite This Study

Challenges and Methods for Smart Transport System using Big Data Analytics and IOT

Key Points

Discussion

Implication

Cite This Study

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