In order to address the challenges of urban traffic management and pollution control, particularly within the construction industry, this study focuses on analyzing construction waste truck movements using GPS sampling data. By analyzing the travel patterns and routes of these trucks, we aim to understand their impact on traffic flow and pollution levels in urban areas. Utilizing statistical analysis and clustering techniques, such as the Dynamic Time Warping (DTW) algorithm, we identify key characteristics of construction waste truck movements and their implications for traffic control and environmental sustainability. This research contributes to the development of intelligent transportation systems and strategies for mitigating urban pollution.
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Li et al. (2024) studied this question.
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