Optimization of Public Transportation Systems: Analyze and Propose Improvements to the Efficiency and Reliability of Public Transportation in Urban Areas, Potentially Incorporating Intelligent Traffic Management Systems.

Urban centers globally are experiencing unprecedented growth, which has led to increased demand for efficient mobility. This paper examines the critical role of public transportation in urban areas, the challenges it faces, and the urgent need for optimization. It explores how traffic congestion acts as a bottleneck, affecting route design, schedules, reliability, and information availability. Furthermore, it analyzes current optimization techniques and the potential of integrating Intelligent Traffic Management Systems (ITMS) to enhance urban public transportation. The paper concludes by offering recommendations for improving public transportation efficiency, reliability, and overall urban livability.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-03-13
DOI
https://doi.org/10.5281/zenodo.15067028
Primary Topic
Transportation Planning and Optimization
Type
article
Field-Weighted Citation Impact
0.00
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article

Optimization of Public Transportation Systems: Analyze and Propose Improvements to the Efficiency and Reliability of Public Transportation in Urban Areas, Potentially Incorporating Intelligent Traffic Management Systems.

Zenodo (CERN European Organization for Nuclear Research)
Transportation Planning and Optimization
article

Optimization of Public Transportation Systems: Analyze and Propose Improvements to the Efficiency and Reliability of Public Transportation in Urban Areas, Potentially Incorporating Intelligent Traffic Management Systems.

article en

Abstract

Urban centers globally are experiencing unprecedented growth, which has led to increased demand for efficient mobility. This paper examines the critical role of public transportation in urban areas, the challenges it faces, and the urgent need for optimization. It explores how traffic congestion acts as a bottleneck, affecting route design, schedules, reliability, and information availability. Furthermore, it analyzes current optimization techniques and the potential of integrating Intelligent Traffic Management Systems (ITMS) to enhance urban public transportation. The paper concludes by offering recommendations for improving public transportation efficiency, reliability, and overall urban livability.

Zenodo (CERN European Organization for Nuclear Research)
Rayat Bahra University (IN), Tech Mahindra (India) (IN)
Sustainable cities and communities
Openalex Percentile: Top 52%
Transportation Planning and Optimization
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