Machine learning framework for sustainable traffic management and safety in AlKharj city

IF 3.3 2区社会学 Q2 ENVIRONMENTAL SCIENCES

Sustainable Futures Pub Date : 2025-01-08 DOI:10.1016/j.sftr.2024.100407

Ali Louati

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引用次数: 0

Abstract

As urban areas expand, cities face increasing challenges related to traffic congestion, accident rates, and environmental impact, all of which hinder sustainable growth and public safety. In AlKharj, a vibrant governorate in Riyadh, Saudi Arabia, traditional traffic management systems struggle to address these issues effectively. To tackle these challenges, we propose an Artificial Intelligence (AI) and Machine Learning (ML) framework aimed at transforming transportation infrastructure towards greater sustainability and resilience. This study highlights AI-driven advancements in traffic management, accident prevention, and energy optimization for AlKharj’s growing urban environment. We develop predictive models for accident hotspots, adaptive traffic systems, and fuel-efficient routing. Using Autoregressive Integrated Moving Average (ARIMA) and Artificial Neural Networks (ANNs), we forecast accident trends and energy consumption, providing strategic insights for urban planning. Our findings demonstrate the potential of AI to enhance efficiency, safety, and environmental sustainability in transportation, setting a benchmark for future sustainable urban mobility initiatives worldwide.

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AlKharj市可持续交通管理和安全的机器学习框架

随着城市面积的扩大，城市面临着与交通拥堵、事故率和环境影响相关的越来越多的挑战，所有这些都阻碍了可持续增长和公共安全。在沙特阿拉伯利雅得一个充满活力的省份阿尔哈吉，传统的交通管理系统难以有效地解决这些问题。为了应对这些挑战，我们提出了一个人工智能（AI）和机器学习（ML）框架，旨在将交通基础设施转变为更大的可持续性和弹性。这项研究强调了人工智能在交通管理、事故预防和能源优化方面的进步，以适应迪拜日益增长的城市环境。我们为事故热点、自适应交通系统和节能路线开发预测模型。利用自回归综合移动平均（ARIMA）和人工神经网络（ann）预测事故趋势和能源消耗，为城市规划提供战略见解。我们的研究结果证明了人工智能在提高交通效率、安全性和环境可持续性方面的潜力，为未来全球可持续城市交通倡议设定了基准。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Sustainable Futures Social Sciences-Sociology and Political Science

CiteScore

9.30

自引率

1.80%

发文量

审稿时长

71 days

期刊介绍： Sustainable Futures: is a journal focused on the intersection of sustainability, environment and technology from various disciplines in social sciences, and their larger implications for corporation, government, education institutions, regions and society both at present and in the future. It provides an advanced platform for studies related to sustainability and sustainable development in society, economics, environment, and culture. The scope of the journal is broad and encourages interdisciplinary research, as well as welcoming theoretical and practical research from all methodological approaches.