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Advancements in Integrated Driver Behavior Analysis and Smart Routing Optimization for Enhanced Urban Mobility

by R. Geetha Ramani, Keerthi Kumar E.N., Joseph Samuel M., Kishor S.
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 186 - Number 13
Year of Publication: 2024
Authors: R. Geetha Ramani, Keerthi Kumar E.N., Joseph Samuel M., Kishor S.
10.5120/ijca2024923499

R. Geetha Ramani, Keerthi Kumar E.N., Joseph Samuel M., Kishor S. . Advancements in Integrated Driver Behavior Analysis and Smart Routing Optimization for Enhanced Urban Mobility. International Journal of Computer Applications. 186, 13 ( Mar 2024), 19-28. DOI=10.5120/ijca2024923499

@article{ 10.5120/ijca2024923499,
author = { R. Geetha Ramani, Keerthi Kumar E.N., Joseph Samuel M., Kishor S. },
title = { Advancements in Integrated Driver Behavior Analysis and Smart Routing Optimization for Enhanced Urban Mobility },
journal = { International Journal of Computer Applications },
issue_date = { Mar 2024 },
volume = { 186 },
number = { 13 },
month = { Mar },
year = { 2024 },
issn = { 0975-8887 },
pages = { 19-28 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume186/number13/advancements-in-integrated-driver-behavior-analysis-and-smart-routing-optimization-for-enhanced-urban-mobility/ },
doi = { 10.5120/ijca2024923499 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-03-27T00:44:38.430190+05:30
%A R. Geetha Ramani
%A Keerthi Kumar E.N.
%A Joseph Samuel M.
%A Kishor S.
%T Advancements in Integrated Driver Behavior Analysis and Smart Routing Optimization for Enhanced Urban Mobility
%J International Journal of Computer Applications
%@ 0975-8887
%V 186
%N 13
%P 19-28
%D 2024
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The integration of various methodologies to analyze driver behavior and smart routing algorithms represents a significant advancement in enhancing transportation safety and efficiency. These approaches leverage data-driven insights and sophisticated algorithms to tailor driving assistance systems and navigation experiences to individual users' needs. By utilizing techniques such as LSTM neural networks for driver behavior analysis and intelligent algorithms for smart routing, these advancements contribute to the development of more advanced driver-assistance technologies and dynamic navigation systems. Driver behavior analysis, which aims to understand and predict driving actions, is crucial for enhancing safety through smarter assistance systems. By matching driving patterns with suitable analytical methods, advancements like LSTM neural networks decode intricate driving actions, contributing to the development of advanced driver-assistance technologies for safer driving experiences. Similarly, smart routing employs intelligent algorithms to compute optimal routes in real-time, prioritizing efficiency and precision in navigating diverse urban landscapes. Leveraging sophisticated algorithms and graph theory, smart routing aims to craft dynamic navigation systems that adapt routes in real-time, optimizing efficiency and user-friendliness within specific road networks. This approach offers customized navigation experiences tailored to individual user needs, further enhancing the overall efficiency and safety of urban transportation systems.

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Index Terms

Computer Science
Information Sciences
Driver Behavior
Smart Routing

Keywords

Internet of Things Long Short Term Memory Recurrent Neural Network Global Positioning System Radio Frequency Identification Application Program Interface

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