review · MEJ Mansoura Engineering Journal
Urban traffic congestion poses significant economic and environmental burdens globally as metropolitan populations expand and vehicle reliance increases. Rising congestion leads to reduced economic productivity, escalating infrastructure expenses, and poorer quality of life, alongside heightened air pollution and fuel consumption. Mitigating these pressures requires combining traditional interventions, such as improving public transit networks and expanding physical traffic management infrastructure, with intelligent transportation systems. Technologies such as smart parking management and automated accident detection play a key role in easing bottlenecks. Evidence highlights that intelligent transportation systems can alleviate congestion, reduce collisions, lower fuel usage, and cut carbon dioxide emissions by up to 80 percent. Addressing these challenges effectively requires a structured framework within the road transportation sector to diagnose specific sources of delays, apply targeted remediations, track performance trends over time, and develop intelligent systems that are accessible and user-friendly.
Traffic congestion damages urban economies and public health by wasting time, raising transport costs, and worsening air pollution. Understanding how intelligent transport technologies and public transit improvements lower emissions and clear roadways helps urban planners and policymakers design cleaner, more efficient cities that support economic growth and improve daily living conditions for urban residents.
The findings highlight commercial opportunities for developers of intelligent transportation systems, specifically in smart parking software and accident detection platforms. Municipal transport authorities and urban traffic managers are the primary end users. Because this review synthesises established technologies that have demonstrated emissions reductions, the core applications are applied and tested, though broader adoption relies on developing more user-friendly and accessible interfaces.
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Traffic congestion is a growing problem in urban transportation networks around the world, having major consequences for the economy and the environment. As metropolitan populations rise and more people rely on autos for mobility, traffic congestion is becoming more common and severe. This review paper presents an overview of the economic and environmental issues caused by traffic congestion in urban areas, as well as proposed ways to reduce its negative effects. It discusses potential traditional transportation solutions such as traffic management infrastructure development, improving public transportation, and intelligent transportation solutions to address traffic congestion problems such as smart parking systems, and accident detection. The paper begins by defining traffic congestion and its causes, highlighting the extent of the problem in urban areas and its impact on the quality of life and economic productivity. and explores the economic costs of traffic congestion, including lost productivity, increased infrastructure expenses, reduced quality of life for residents, population growth, urban sprawl, and inadequate public transportation systems. Most of the research indicates that the ITS plays a major role in reducing many problems such as air pollution, fuel consumption, traffic congestion, and accidents, and reducing emissions of carbon dioxide by 80%. The study recommended that the road transportation sector contribute significantly and develop a framework for understanding the various sources of congestion, methods to address congestion by targeting these sources, and performance measures for monitoring congestion trends, as well as future recommendations in the field of ITS to make it more user-friendly and accessible.
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DOI: 10.58491/2735-4202.3191
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