The problem of carbon dioxide in several cities in Indonesia is getting higher and requires more focused handling. The city of Tegal, one of the cities in Indonesia located on the Pantura route, has a significant impact on the distribution of CO2 emissions. This research was conducted by modeling and mapping the number of emissions on several roads based on the outcomes of transportation efforts in Tegal City. Arc-GIS is used for analysis and modeling, with an approach to calculating emissions based on the number of vehicles, emission factors, and fuel consumption. The results showed that gasoline-fueled cars and other motorized vehicles based on the mapping model became the CO2 suppliers on every road section. The highest emission distribution was observed on the Tegal City pantura road, which is a national transportation route.

The importance of transportation modeling, especially personal car flow modeling, is well recognized in transportation planning. Modern software tools give the possibility of generating many development scenarios of transport system, which can be tested quickly. Transportation models represent a good (and necessary) basis in the procedure of environmental traffic impacts and energy emission estimation. Research in this paper deals with the possibility of using transportation modeling as a tool for estimation of some air pollution and global warming indicators on street network, produced by personal cars with internal combustion engines. These indicators could be the basis for defining planning and management solutions for transport system with respect to their environmental impacts. All the analyses are based on several years of research experience in Belgrade. According to the emissions of gases from the model, the values of other green house gases can be estimated using the known ...

The ever increasing use of motor vehicles in many urban areas of the world has resulted incities overcrowded with vehicles and their air sheds highly polluted in most cases. Though Pakistan has adopted Pak-II (equivalent to Euro II) emission standards since 2009, yet their implementation has been found unsatisfactory. This is likely to result in higher vehicular emissions and their corresponding emission factors (EFs) for all vehicles types. With the aim of predicting average runningEFs for a large urban city of Pakistan, i.e. Hyderabad, the petrol fueled passenger cars were studied to calculate EFs for criteria pollutants, toxic pollutants and greenhouse gases (GHG). These average EFs based on the selected vehicles are considered to represent the majority of passenger cars in the city. The average EFs were calcula ted using the International Vehicle Emissions (IVE) modelwhich has been widely used in several cities around the world.The results reveal that average daily VKT was 22.29 kilometers and average vehicle speed was 29.18 kilometers per hour. Most of the driving was found to lie in the lower engine stress mode. Average running EF (in grams per kilometer) was highest for CO2(193.99) followed by CO (24.59), exhaustive VOCs (4.54) and NOx (1.19) respectively. Euro compliant vehicles produced lowest running EFs for most of the pollutants. With current finding s, increased efforts are recommended to reduce vehicular emissions and their corresponding running EFs in order to improve local air quality and reduce emissions from onroad vehicles.

During the recent decades, rapid urbanization growth has led to even faster growth of motorvehicles and especially in large cities. Hence, evaluation of the actual level of traffic emissions has gained more interest. This paper, for the first time, presents a bottom-up approach for evaluation of vehicular emissions in Tehran- the capital of Iran- using the International Vehicle Emission (IVE) model. The IVE model uses local vehicle technology levels and its distributions, power based driving factors, vehicle soak distributions and meteorological parameters to tailor the model for specific evaluation of emissions. The results of this study demonstrate that carbon monoxide (CO) emission with 244.45 ton/hr during peak traffic hour is the most abundant criteria pollutant. About 25% of this quantity is emitted during start-up periods. Other pollutants such as NOX, VOCs, PM, VOCevap and SOX are ranked after CO accordingly. Also, carbon dioxide (CO2) emissions of 1744.22 ton/hr during the ...

Road traffic flows on a straight road segment are modelled in this article. The mathematical model of traffic flows has been constructed by using the method of lumped parameters. CO2, CO, CH, NOx, PM regression equations of internal combustion engines’ (ICE) emission has been developed. The accuracy of regression equations is 0.98÷0.99. The article presents assumptions for constructing the mathematical model, description of the mathematical model and gives simulation results. Traffic flow parameters, such as traffic flow concentration and traffic flow speed are presented as modelling results. ICE emission depending on the concentration and traffic flow speed are presented as well.