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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM22676

Navigating the Road Ahead: A Literature Review on Smart Highway Design

Stream/Area:

-

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-

Paper ID:

10.55041/IJSREM22676

Volume:

7 |

6 |

Jun 2023

Pages:

Publication Frequency:

Monthly (12 issues per year)

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Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

MFS

Md. Faizan Shamshi1

HS

Hritik Srivastav2

HS

Honey Sharma3

DD

Diptanu Das4

SK

Shreeja Kacker5

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Abstract

The rapid advancements in technology have given rise to innovative approaches in transportation infrastructure, leading to the concept of smart highways. Smart highway design encompasses a range of intelligent systems and technologies that enhance the safety, efficiency, and sustainability of road networks. This literature review aims to provide a comprehensive analysis of existing research and developments in the field of smart highway design, examining its various components, benefits, challenges, and future prospects. The review begins by exploring the fundamental concepts and principles of smart highways, including sensor networks, communication systems, and data analytics. It delves into the integration of emerging technologies such as Internet of Things (IoT), artificial intelligence (AI), and cloud computing into road infrastructure, highlighting their potential to revolutionize transportation systems. Moreover, it investigates the deployment of smart materials and structures, such as self-healing pavements and energy-harvesting systems, to enhance the durability and sustainability of highways. Additionally, the literature review investigates the impact of smart highway design on traffic management and safety. It examines the utilization of real-time data and predictive modeling to optimize traffic flow, manage congestion, and prevent accidents. Furthermore, it addresses the incorporation of intelligent transportation systems, including autonomous vehicles and cooperative systems, into smart highways, emphasizing their potential to improve road safety and efficiency. Moreover, the review explores the environmental benefits of smart highways, focusing on energy-efficient lighting systems, renewable energy generation, and carbon footprint reduction strategies. It also discusses the role of smart highway design in promoting sustainable transportation and supporting the transition to a greener future. Throughout the review, various challenges and barriers to the implementation of smart highway design are identified, including cost considerations, interoperability issues, privacy concerns, and public acceptance. Strategies to overcome these challenges are discussed, along with case studies and best practices from real-world smart highway projects. Based on the analysis of the literature, this review concludes by highlighting future research directions and opportunities in the field of smart highway design. It emphasizes the need for interdisciplinary collaboration, standardization efforts, and policy frameworks to drive the widespread adoption of smart highway technologies. In summary, this literature review provides a comprehensive overview of smart highway design, synthesizing current research findings and identifying gaps in knowledge. It serves as a valuable resource for researchers, policymakers, and practitioners involved in transportation engineering, urban planning, and infrastructure development, paving the way for safer, more efficient, and sustainable road networks in the future.

KEYWORDS

smart roads artificial intelligence pavement design road infrastructure internet of things

Cite This Article

Md. Faizan Shamshi1, Hritik Srivastav2, Honey Sharma3, Diptanu Das4, Shreeja Kacker5, "Navigating the Road Ahead: A Literature Review on Smart Highway Design," International Journal of Scientific Research in Engineering and Management, vol. 7, no. 6, Jun 2023. https://doi.org/10.55041/IJSREM22676

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6/5/2023

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Double-Blind Peer Review

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