Methodology for Predictive Estimation of Specific Greenhouse Gas Emissions by Traffic Flows

Y. Trofimenko, D. A. Deianov, V. Komkov, N. N. Fedotov
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Abstract

A methodology for estimating specific (per unit of transport work) greenhouse gas emissions by traffic flows on certain sections of the road network is presented and its approbation is carried out. The main factors for reducing specific (per unit of transport work) greenhouse gases (GHG) emissions by traffic flows when considering different sections of the road network, provided that the composition of the traffic flow by type of vehicle, type of fuel (energy) used and environmental class of the vehicle, passenger capacity and carrying capacity of specific vehicles does not change, is the length of the road network section, the number of traffic lanes, the average speed and traffic intensity, which are affected by the presence of public transport routes on them, traffic light regulation. Reduction of specific greenhouse gases (GHG) emissions by traffic flows on sections of the road network in the foreseeable future will be achieved by increasing the share of electric vehicles powered by traction batteries and fuel cells powered by hydrogen in the vehicle traffic flow. It is expected that in the composition of traffic flows on the road network in 2054 there will be 20% of such vehicles in the composition of cars, trucks - about 10% and buses - 30%.
交通流量特定温室气体排放的预测估计方法
提出了一种估算道路网某些路段交通流量的具体(每单位运输工作)温室气体排放量的方法,并对其进行了批准。考虑到不同路段的道路网,如果按车辆类型、使用的燃料(能源)类型和车辆的环境类别、特定车辆的载客量和运载能力组成的交通流的组成不变,则减少交通流特定(单位运输工作)温室气体(GHG)排放量的主要因素是道路网路段的长度、交通车道的数量、平均速度和交通强度,这是受影响的存在的公共交通路线上,交通灯调节。在可预见的未来,通过增加由牵引电池和氢燃料电池驱动的电动汽车在车辆交通流中的份额,可以减少道路网络部分交通流的特定温室气体(GHG)排放。预计到2054年,在道路网络的交通流构成中,这类车辆将占汽车构成的20%,卡车约占10%,公共汽车约占30%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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