Indonesian Journal of Electrical Engineering and Computer Science Vol. 39, No. 1, July 2025, pp. 585~591 ISSN: 2502-4752, DOI: 10.11591/ijeecs.v39.i1.pp585-591  585 Journal homepage: http://ijeecs.iaescore.com A compact study on methodological insights on navigational systems in vehicular traffic system Prathibha Thimmappa 1,2 , Mayuri Kundu 1 1 School of Computer Science and Engineering, Reva University, Bengaluru, India 2 Department of Computer Science and Engineering, Government Engineering College, Ramanagara, India Article Info ABSTRACT Article history: Received Jan 27, 2025 Revised Mar 18, 2025 Accepted Mar 26, 2025 Navigation system has witnessed a significant inclusion of potential technological advancement in the area of vehicular traffic system. Since the last decade, there are various evolution of innovative techniques that has identified and addressed some serious problem towards vehicular navigation system. With a progress of time, artificial intelligence (AI) has evolved as contributory role model towards optimizing the performance of navigation system. However, still it is quite challenging to acquire a quick snapshot of overall stand of all such methodologies and its effectiveness. Hence, this paper presents a precise, compact, and highly crisp discussion of core taxonomies of methods towards improving navigation system. The paper also contributes towards highlighting their strength and weakness followed by updated research trend to understand the true picture. Finally, the paper contributes to highlight the critical trade-off and gaps. Keywords: Artificial intelligence Methodologies Navigation Traffic Vehicular This is an open access article under the CC BY-SA license. Corresponding Author: Prathibha Thimmappa School of Computer Science and Engineering, Reva University Rukmini Knowledge Park, Yelahanka, Kattigenahalli, Bengaluru, Karnataka 560064, India Email: prathibha1982@upm.edu.my 1. INTRODUCTION Navigation system is specifically discussed with respect to vehicular traffic and is known to offer a system for assisting the user/vehicle for taking up safer routes, congestion-free travel path, and fuel-efficient journey [1]. Different types of technologies e.g., real-time data analytics, sensors, mapping software, and satellite assisted routing is used at present in navigation system design. The prime application of navigation system in vehicular traffic are route planning, management of traffic flow, management of autonomous vehicles, and fleet management. The significance of navigation system in vehicular traffic are manifold. An efficient navigation system offers autonomous alert system towards potential hazard e.g., adverse weather condition, traffic jam, and accidents. It also offers time efficiency and enhanced user experience with up-to- date maps and friendly user-interfaces. By significantly controlling and minimizing traffic congestion, potential carbon footprints towards transportation is reduced by efficient navigation system. However, there are various challenges encountered by navigation system viz. accuracy of real-time data, limitation of infrastructure, system integration, risk of cyberthreats, and over-reliance of a user. Such challenges have been identified by advanced research community where artificial intelligence (AI) is looked upon as a better path of solution towards improving vehicular communication system [2]. AI with its different variant of machine and deep learning algorithms has been contributing towards various complex world problems. Such algorithms are either used as standalone way, or in ensembled way, or in hybrid way and they have better capability towards addressing various ongoing research issues relating to navigational system.