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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM65463
Volume:
10 |
6 |
Jun 2026
Pages:
1-10
Publication Frequency:
Monthly (12 issues per year)
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.
Computer Engineering
Genba Soapanrao Moze College Of Engineering
Computer Engineering
Genba Soapanrao Moze College Of Engineering
Computer Engineering
Genba Soapanrao Moze College Of Engineering
Computer Engineering
Genba Soapanrao Moze College Of Engineering
Computer Engineering
Genba Soapanrao Moze College Of Engineering
Accessibility in navigation remains a significant challenge for individuals with disabilities, particularly in complex urban environments where information about accessible infrastructure is often incomplete, inconsistent, or unavailable. This paper presents a comprehensive review of existing assistive navigation systems and proposes a web-based accessible navigation solution designed for physically disabled, visually impaired, and elderly individuals. The study analyzes a wide range of technologies, including digital mapping systems, Geographic Information Systems (GIS), artificial intelligence, computer vision, wearable devices, and augmented reality-based solutions. The paper evaluates various approaches based on key factors such as usability, accessibility support, real-time navigation capability, and cost-effectiveness. Special emphasis is placed on multi-sensory feedback mechanisms, including audio, haptic, and visual guidance, which have been shown to significantly improve navigation accuracy and user confidence. Additionally, the study highlights the role of accessibility standards such as the Web Content Accessibility Guidelines (WCAG) in improving user interface design for inclusive navigation systems. Despite significant advancements, several challenges persist, including limited integration between indoor and outdoor navigation systems, high implementation costs, lack of real-time environmental awareness, and insufficient personalization for diverse user needs. This paper identifies these research gaps and discusses future directions, including the use of machine learning, crowd-sourced data, and smart city integration to enhance accessibility and scalability. In addition, the proposed system integrates real-time location tracking, accessibility filtering, and a lightweight recommendation model to suggest the most suitable accessible locations based on user needs. The findings of this study provide valuable insights for researchers and developers aiming to design efficient, user-friendly, and inclusive navigation systems that improve mobility, independence, and quality of life for individuals with disabilities.
KEYWORDS
This survey paper presents a comprehensive review of existing navigation and accessibility technologies designed for physically disabled, visually impaired, and elderly individuals. The study analyzed various approaches, including sensor-based systems, wearable devices, web-based navigation platforms, artificial intelligence-driven models, and augmented reality-based solutions. The findings indicate that significant progress has been made in improving independent mobility and navigation safety through assistive technologies. Systems incorporating multi-sensory feedback, real-time tracking, and intelligent route planning have shown promising results in enhancing user experience and accessibility. However, most existing solutions focus on specific aspects of navigation, such as indoor guidance, obstacle detection, or route optimization, without providing a fully integrated solution. The survey also identifies several critical limitations, including high implementation costs, lack of scalability, limited real-time environmental awareness, and insufficient accessibility-focused features in mainstream navigation systems. Additionally, many systems lack user personalization and fail to address the diverse needs of individuals with different types of disabilities. Based on the analysis, it is evident that there is a strong need for developing unified, cost-effective, and user-friendly navigation solutions that integrate accessibility filtering, real-time navigation support, and intelligent recommendation mechanisms. Future research should focus on combining modern web technologies, artificial intelligence, and crowd-sourced data to create scalable and adaptive systems. In conclusion, accessible navigation remains an evolving research area with significant potential to improve quality of life. By addressing existing research gaps and focusing on inclusive design principles, future systems can provide more efficient, reliable, and universally accessible navigation solutions.
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Publication Date
6/25/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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