The performance evaluation of plateau ecological transportation and the judgment of its obstacle factors are the important foundation for the sustainable development of plateau ecological transportation. This paper uses the DPSIR model to construct the plateau ecological transportation evaluation system, uses the weighted TOPSIS model and the obstacle degree model, and evaluates the development performance level and obstacle factors of its ecological transportation based on the ecological environment data and traffic development statistics of the Tibet Autonomous Region from 2005 to 2015. The results show that the comprehensive closeness index has gradually increased from 0.0636 in 2005 to 0.8997 in 2015, a steady increase of 7.6%. The impact subsystem has the greatest impact on the development of the overall plateau ecological transportation evaluation system, reveals the short-board influencing factors of the sustainable development of plateau ecological transportation, and provides references for the improvement of the overall plateau ecological transportation system and related decision-making.
To alleviate the spread of the epidemic, most public places have begun to limit the number of trips. Therefore, this article proposes a pedestrian counting scheme based on YOLOv5 and DeepSORT for multi-target detection and tracking. Using the network weights trained by the coco data set and combining the YOLOv5 detector and the DeepSORT tracker, the pedestrians are detected and tracked, and the number of people entering and leaving is calculated, thereby realizing the control of the number of floating people. Through experiments on streets and subway stations, it is proved that this algorithm is suitable for tracking and counting high-density people, and based on ensuring the real-time performance of the system, it provides high system accuracy and robustness.
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