Impact of Mountain Urban Roads on Vehicle Carbon Emissions Driven by Big Data

被引：0
|
作者：
Zhou T. [1 ,2 ,3 ]
Li Y.-J. [1 ,3 ]
Sun Q.-M. [1 ,3 ]
Ren H.-K. [1 ,2 ]
Liu Y. [1 ,2 ]
Zhang Z.-H. [1 ,3 ]
机构：
[1] Chongqing Transportation Planning and Research Institute, Chongqing
[2] Chongqing Urban Transportation Big Data Engineering Technology Research Center, Chongqing
[3] Chongqing Key Laboratory of Traffic System&Safety in Mountainous Cities, Chongqing
来源：
Jiaotong Yunshu Xitong Gongcheng Yu Xinxi/Journal of Transportation Systems Engineering and Information Technology | 2023年 / 23卷 / 05期
关键词：
OBD; road conditions; trajectory cutting method; trajectory matching method; urban traffic; vehicle carbon emissions;
D O I：
10.16097/j.cnki.1009-6744.2023.05.019
中图分类号：
学科分类号：
摘要：
Understanding the relationship between urban roads and vehicle carbon emissions is of great significance for the calculation of urban traffic carbon emissions, urban traffic construction, and urban traffic planning, design. Based on the OBD big data, this paper takes Chongqing as an example to analyze the influence of road type and road slope on vehicle carbon emissions, and explore the localized road carbon emission factors in Chongqing. First, introduce the OBD data and processing method, combine the gasoline fuel carbon emission factor to convert vehicle fuel consumption into vehicle carbon emissions. The characteristics divide the vehicles into three categories: non-operating, operating, and freight. Finally, the LM method is used to iteratively fit the relationship between the average vehicle speed and the carbon emission factor. The research shows that increasing the average speed of urban roads to over 25 km·h-1 has a significant effect on reducing vehicle carbon emissions; the order of road carbon emission factors is that secondary roads are greater than arterial roads than expressways, which is related to serious interchanges and openings. The vehicle carbon emission factor is most sensitive to steep slope roads, and the order of influence is that the road slope is greater than the vehicle type than the road type. © 2023 Science Press. All rights reserved.
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页码：172 / 183
页数：11
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