4.5 Article

Microclimate investigation of vehicular traffic on the urban heat island through IoT-Based device

期刊

HELIYON
卷 8, 期 11, 页码 -

出版社

ELSEVIER SCI LTD
DOI: 10.1016/j.heliyon.2022.e11739

关键词

Urban heat island; (UHI); Theoretical UHI; (UHIT); Anthropogenic Heat Flux; queue rate model; fix station sensor

向作者/读者索取更多资源

This study analyzed the impact of vehicle mobility on the Urban Heat Island effect by combining fixed station sensor instruments and area traffic control system cameras. The results showed that urban areas have higher average temperatures than suburban areas, and severe traffic congestion can significantly increase temperatures.
Anthropogenic is defined as one of the influencing factors of the climatic phenomenon, called Urban Heat Island (UHI), in which urban areas have higher air temperatures than their rural surroundings. Analyzing the impact of anthropogenic factors, such as vehicular traffic, has implications for the potential benefits of health monitoring systems; however, the spatiotemporal impact of anthropogenic factors, as well as vehicle mobility, has not been thoroughly investigated. This study incorporates vehicle mobility data by leveraging two different sensors; fixed station sensor instruments designed to integrate with the Internet of Things (IoT), and the camera of an area traffic control system (ATCS) that uses CCTV visualization with object detection. Using object detection and time -based traffic volume analysis, we obtain the level of the queue rate (lambda) to present the level of the traffic flow based on the average velocity of the vehicle flow. Based on the results, it showed that the average temperature in urban areas is higher than in suburban areas, and the severe traffic jams caused a significant increase in temperature, that is until 7 Celsius when the weather is sunny. In addition, the theoretical UHI (UHIT) model developed in this study can be used to estimate the UHI which is influenced by the queue rate.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.5
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据