Computational transportation science is an interdisciplinary field that leverages computational methods, data analysis, and modeling techniques to study and improve transportation systems. It combines elements from transportation engineering, computer science, operations research, and applied mathematics to address various challenges in transportation, such as traffic congestion, network optimization, transportation planning, and logistics.
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