Traffic & Transportation Engineering

Precise Calculation Method of Traffic Carbon Emission in Expressway Segment Integrating Multi-Source Data

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  • 1.School of Civil Engineering and Transportation,South China University of Technology,Guangzhou 510640,Guangdong,China
    2.Comprehensive Planning Division,Department of Transportation of Guangdong Province,Guangzhou 510101,Guangdong,China
林培群(1980-),男,博士,教授,主要从事交通大数据、智能交通等的研究。E-mail:pqlin@scut.edu.cn

Received date: 2022-09-26

  Online published: 2023-01-19

Supported by

the National Natural Science Foundation of China(52072130);the Natural Science Foundation of Guangdong Province(2020A1515010349)

Abstract

In the context of “dual-carbon” policy, the task of carbon emission reduction in transportation industry is arduous, but the vehicle carbon emission currently cannot be measured accurately at present. In order to realize the fine calculation of carbon emission, this paper proposes a precise calculation method of traffic carbon emission in expressway segment based on multi-source data. Firstly, KD-tree algorithm is used to match the GPS data of operational vehicles with the road points, thus implementing the real-time monitoring of dynamic vehicles. Then, the calculation model of vehicle carbon emission in road segment is established, and the relevant calculation process is designed. Finally, the main section of Humen Bridge is taken as an example to calculate the carbon emission of the section. Through VISSIM simulation and relative comparison experiments, the science and reliability of the proposed algorithm are verified. The results show that, for different vehicle types, the carbon emission of minibus is the highest, accounting for 74.36%; and that, for different fuel types, the carbon emission of gasoline automobile is the highest, accounting for 80.50%. The new energy vehicles in operation account for 12.60% of the total vehicles but the corresponding carbon emission only accounts for 4.27%, which means that energetically developing new energy trucks is the key to the carbon emission reduction of expressways. It is also found that, when the traffic saturation is controlled at 0.32~0.38, the average carbon emission of equivalent standard vehicle is lower; while when the traffic saturation is greater than 0.62, the average carbon emission of standard vehicle increases significantly. These conclusions provide theoretical basis for traffic management departments to formulate relevant strategies.

Cite this article

LIN Peiqun, ZHANG Yang, LUO Zhiqing, et al . Precise Calculation Method of Traffic Carbon Emission in Expressway Segment Integrating Multi-Source Data[J]. Journal of South China University of Technology(Natural Science), 2023 , 51(7) : 100 -108 . DOI: 10.12141/j.issn.1000-565X.220627

References

1 张诗青,王建伟,郑文龙 .中国交通运输碳排放及影响因素时空差异分析[J].环境科学学报201737(12):4787-4797.
  ZHANG Shiqing, WANG Jianwei, ZHENG Wenlong .Spatio-temporal difference of transportation carbon emission and its influencing factors in China[J].Acta Scientiae Circumstantiae201737(12):4787-4797.
2 FRIEDLINGSTEIN P, O’SULLIVAN M, JONES M,et al .Global carbon budget 2020[J].Earth System Science Data202012(4):3269-3340.
3 Committee on Climate Change .Building a low-carbon economy: the UK’s contribution to tackling climate change[R].London:Committee on Climate Change,2008:251-301.
4 Intergovernmental Panel on Climate Change .2006 IPCC guidelines for national greenhouse gas inventories[M].Hayama:Institute for Global Environmental Strategies (IGES),2006
5 吴开亚,何彩虹,王桂新,等 .上海市交通能源消费碳排放的测算与分解分析[J].经济地理201232(11):45-51.
  WU Kai-ya, HE Cai-hong, WANG Gui-xin,et al .Shanghai transport energy consumption carbon emissions measurement and decomposition analysis[J].Journal of Economic Geography201232(11):45-51.
6 欧阳斌,凤振华,李忠奎,等 .交通运输能耗与碳排放测算评价方法及应用——以江苏省为例[J].软科学201529(1):139-144.
  OUYANG Bin, FENG Zhen-hua, LI Zhong-kui,et al .Transportation energy consumption and carbon emission measurement and application:a case study of Jiangsu Province[J].Soft Science201529(1):139-144.
7 CHENG Y, LAI C,TEH J .Memetic algorithm for fuel economy and low emissions parallel hybrid electric vehicles[C]∥Proceedings of the 2017 IEEE 8th International Conference on Awareness Science and Technology (iCAST).[S.l.]:[s.n.],2017
8 LE M, HAIYAN C .Study on transportation energy carbon emission based on system dynamics[C]∥Proceedings of the 2021 9th International Conference on Traffic and Logistic Engineering (ICTLE).[S.l.]:[s.n.],2021:102-107.
9 张清,陶小马,杨鹏,等 .特大型城市客运交通碳排放与减排对策研究[J].中国人口·资源与环境201222(1):35-42.
  ZHANG Qing, TAO Xiaoma, YANG Peng,et al .Research on carbon emission and emission reduction strategy of passenger transport in mega-city[J].China Population,Resources and Environment201222(1):35-42.
10 BENTLEY J L .Multidimensional binary search trees used for associative searching[J].Communications of the ACM197518(9):509-517.
11 胡健,刘祥敏,毛伊敏,等 .基于KD树和混沌蜉蝣优化的并行谱聚类算法[J/OL].(2022-03-15)[2022-04-15]..
  HU Jian, LIU Xiangmin, MAO Yimin,et al .Based on KD tree and ephemera of chaos optimization of parallel spectral clustering algorithm[J/OL].(2022-03-15)[2022-04-15]..
12 刘娟娟 .基于VSP分布的油耗和排放的速度修正模型研究[D].北京:北京交通大学,2010
13 中华人民共和国国家发展改革委员会 .陆上交通运输企业温室气体排放核算方法与报告指南(试行) [EB/OL].(2015-07-06)[2022-04-15]..
14 许晓辉,陈幸福 .高速公路合流区信号灯限流策略优化与仿真——以虎门大桥为例[J].中国交通信息化2020(5):123-127,138.
  XU Xiaohui, CHEN Xingfu .Optimization and simulation of traffic limiting strategy for signal lights in expressway confluence area:a case study of Humen Bridge[J].China Transportation Informatization2020(5):123-127,138.
15 中华人民共和国交通运输部 中华人民共和国公安部 国家安全生产监督管理总局 .道路运输车辆动态监督管理办法[EB/OL].(2014-01-28)[2022-04-15]..
16 景立竹,许金良,韩跃杰,等 .基于v/C比的高速公路基本路段车辆碳排放预测模型研究[J].交通信息与安全201836(6):98-105.
  JING Lizhu, XU Jinliang, HAN Yuejie,et al .Research on vehicle carbon emission prediction model based on v/C ratio[J].Traffic Information and Safety201836(6):98-1 05.
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