Where does the Development of Road Transport Emission Macro Modelling Lead?

被引:0
作者
Zefreh, Mohammad Maghrour [1 ]
Torok, Adam [1 ]
机构
[1] Budapest Univ Technol & Econ, Dept Transport Technol & Econ, Muegyet Rkp 3, Budapest, Hungary
来源
PROCEEDINGS OF THE 2016 5TH INTERNATIONAL CONFERENCE ON SMART CITIES AND GREEN ICT SYSTEMS (SMARTGREENS 2016) | 2016年
关键词
Road Transport; Emission Modelling; Comparative Analysis; METHODOLOGY;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In recent years, road transport models have developed for better estimation of road traffic emissions with higher and higher temporal and spatial resolution, to be used as a tool in air quality management for the better living. Road transport related emission models are becoming more and more complex. In this paper, the key research question is how the improvement in modelling influences the results? The authors compared three different macro emission modelling system with the dataset of Hungary for 2010. One must notice that more precise model has larger data requirement. Firstly, the consumption-based model was run with 31 needed input data secondly, EURO standard based model was run with 261 needed data and finally, speed dependent model was run with 1060 needed input data. According to the results, it can be stated that a more complex model could cause significant differences in emission compared to simpler one. The differences can be caused by old Hungarian vehicle fleet or differences in estimation error.
引用
收藏
页码:100 / 104
页数:5
相关论文
共 29 条
  • [1] Adam Torok, 2015, TECHNOLOGIA UPRAWY M, P343
  • [2] Andre M, 2006, INRETSLTE0606
  • [3] European CO2 emission trends: A decomposition analysis for water and aviation transport sectors
    Andreoni, V.
    Galmarini, S.
    [J]. ENERGY, 2012, 45 (01) : 595 - 602
  • [4] [Anonymous], 2015, AIR QUAL EUR 2015 RE
  • [5] [Anonymous], 2011, VISSIM 5 30 05 USER
  • [6] [Anonymous], 2015, EM MOD
  • [7] [Anonymous], 2003, Meteorology Today: An Introduction to Weather, Climate, and the Environment
  • [8] A CO-OPERATIVE METHODOLOGY TO ESTIMATE CAR FUEL CONSUMPTION BY USING SMARTPHONE SENSORS
    Astarita, Vittorio
    Guido, Giuseppe
    Mongelli, Domenico
    Giofre, Vincenzo Pasquale
    [J]. TRANSPORT, 2015, 30 (03) : 307 - 311
  • [9] ACTIVITY-BASED APPROACHES TO TRAVEL ANALYSIS - CONCEPTUAL FRAMEWORKS, MODELS, AND RESEARCH PROBLEMS
    AXHAUSEN, KW
    GARLING, T
    [J]. TRANSPORT REVIEWS, 1992, 12 (04) : 323 - 341
  • [10] Global energy scenarios meeting stringent CO2 constraints -: cost-effective fuel choices in the transportation sector
    Azar, C
    Lindgren, K
    Andersson, BA
    [J]. ENERGY POLICY, 2003, 31 (10) : 961 - 976