Traffic Flow Optimization and Urban Planning: A Civil Engineering Perspective
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Abstract
The issue of traffic congestion is a major problem in metropolitan places all over the world. It results in longer travel times, elevated levels of environmental pollution, and a general decline in the quality of life. The purpose of this research study is to investigate, from the point of view of civil engineering, the crucial confluence of traffic flow optimization and urban planning. The objective is to explore novel approaches that have the potential to reduce traffic congestion, improve the effectiveness of transportation, and encourage environmentally responsible urban growth. The investigation takes a multidisciplinary approach, using a variety of methodologies,
including urban planning techniques, data analytics, and civil engineering concepts. The analysis of traffic patterns, the identification of bottlenecks, and the evaluation of the efficiency of various traffic management methods are all carried out with the assistance of real-world case studies and advanced simulation tools.
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References
Adams, T., & Alemi, F. (2015). Smart cities and connected vehicles. Journal of Ambient Intelligence and Smart Environments, 7(6), 723-726.
Cervero, R., & Kockelman, K. (1997). Travel demand and the 3Ds: Density, diversity, and design. Transportation Research Part D: Transport and Environment, 2(3), 199-219.
European Commission. (2015). Urban mobility package. Retrieved from Link
Litman, T. (2019). Transportation demand management. Victoria Transport Policy Institute. Retrieved from Link
Lu, X., & Chien, S. (2015). Travel time estimation with artificial neural networks. Transportation Research Part C: Emerging Technologies, 50, 126-139.
Newman, P., & Kenworthy, J. (1999). Sustainability and cities: Overcoming automobile dependence. Island Press.
Transit Cooperative Research Program (TCRP). (2013). Transit-oriented development in the United States: Experiences, challenges, and prospects. Retrieved from Link
Transportation Research Board (TRB). (2010). Driving and the built environment: The effects of compact development on motorized travel, energy use, and CO2 emissions. Retrieved from Link
World Health Organization (WHO). (2017). Global urban air pollution database (update 2016). Retrieved from Link
Zhang, H., & Levinson, D. (2017). A big data approach to discovering sources of traffic congestion using unsupervised clustering. Transportation Research Part C: Emerging Technologies, 79, 1-11.