Publication
Abstract
Urban road networks face increasing challenges in balancing traffic efficiency, budget limitations, and environmental impacts as cities prepare for future demand. This paper presents a multi-objective optimization approach using Genetic Algorithms (GAs) to enhance the performance of an urban transportation network while integrating sustainability goals. By simultaneously optimizing travel times, reducing bottlenecks, and addressing budget constraints, this framework enables a balanced approach to infrastructure improvement. The inclusion of environmental considerations, such as greenhouse gas (GHG) emissions, aligns network development with broader sustainability objectives, promoting a healthier urban environment. Future extensions of this framework include adaptive strategies to respond to shifting traffic patterns and the potential integration of regulatory constraints, such as emission licenses. The proposed GA approach demonstrates a flexible, scalable solution for urban planners and policymakers tasked with building resilient, sustainable road networks, offering practical insights into addressing the multifaceted demands of modern urban infrastructure.
Keywords
Network Optimization , Resilience , Genetic Algorithm .
Metadata
Subjects: Management Optimization
Cite This Article
APA Style
Cheng, X. & Che, C. (2024). Optimizing urban road networks for resilience using genetic algorithms. Academic Journal of Sociology and Management, 2(6), 1-7. https://doi.org/10.5281/zenodo.14032011
Acknowledgments
The authors thank the editor and anonymous reviewers for their helpful comments and valuable suggestions.
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INSTITUTIONAL REVIEW BOARD STATEMENT
DATA AVAILABILITY STATEMENT
The original contributions presented in the study are included in the article/supplementary material, further inquiries can be directed to the corresponding author.
INFORMED CONSENT STATEMENT
CONFLICT OF INTEREST
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
AUTHOR CONTRIBUTIONS
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