Development of a Mobile Emission Test Car for Indian Railways

2021 ◽

Vol 940 (1) ◽

pp. 012010

Author(s):

A W Ramadhan ◽

A Wibowo ◽

R Saraswati

Keyword(s):

Spatial Pattern ◽

Distribution Pattern ◽

The Other ◽

Emission Model ◽

Analysis Method ◽

Traffic Jam ◽

High Concentrations ◽

Mobile Emission ◽

Spatial Analysis Method ◽

The Mathematical Model

Abstract The rapid growth of cities will certainly also increase traffic jams and emissions in the air. This study aims to analyze the increase in car volume and the CO distribution pattern in East Jakarta. Data for traffic jam patterns were recorded based on Google Maps on weekdays in the morning and evening. The spatial analysis method used to find the CO distribution pattern is the IDW interpolation, and the mathematical model calculates the moving emission based on the distance travelled (VKT). The spatial pattern of CO distribution in 2020 was scattered with high concentrations in Pasar Rebo, Ciracas, Cipayung, Kramat Jati, and Makasar Districts, with CO levels above 4,500 ppm. The spatial pattern of CO distribution from the mobile emission model differs from the air station IDW interpolation. The CO distribution pattern from the mobile emission model is very concentrated in Makassar, and Kramat Jati District was 6,740.91 tons/year. The result concluded that the increase in vehicle volume is not related to the distribution of the CO model from air station IDW interpolation, and the other hand, the congestion pattern was related to the distribution pattern of the CO model from vehicles from the level of congestion.

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Experimental Research on the Emission Characteristics of City Taxies

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.295-298.1529 ◽

2013 ◽

Vol 295-298 ◽

pp. 1529-1534

Author(s):

Long Lin Sun ◽

Wen Wei Huang ◽

Mou Rong Gao

Keyword(s):

High Precision ◽

Experimental Research ◽

High Speed ◽

Emission Characteristics ◽

Experiment Data ◽

Mobile Emission

The taxies’ emission experiments on urban roads are carried out with a high-precision mobile emission analyzer. Then the emission characteristics are analyzed. The experiment data show that the high speed, the low acceleration and the low VSP will be helpful to decrease the emission and the long mileage will worsen the emission.

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Dynamic PSO-Neural Network: A Case Study for Urban Microcosmic Mobile Emission

Lecture Notes in Computer Science - Advances in Neural Networks - ISNN 2008 ◽

10.1007/978-3-540-87732-5_89 ◽

2008 ◽

pp. 806-815

Author(s):

Chaozhong Wu ◽

Chengwei Xu ◽

Xinping Yan ◽

Jing Gong

Keyword(s):

Neural Network ◽

Mobile Emission

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On-Road Investigation of PM Emissions of a City-Buses Fuelled by Diesel, CNG, and LPG Using a Mobile Emission Laboratory

Transactions of the Korean Society of Mechanical Engineers B ◽

10.3795/ksme-b.2011.35.4.409 ◽

2011 ◽

Vol 35 (4) ◽

pp. 409-416

Author(s):

Seok-Hwan Lee ◽

Hong-Suk Kim ◽

Jun-Hyuk Park ◽

Jun-Kyu Yoon

Keyword(s):

Mobile Emission

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Use of Statewide Models as a Decision Tool for Zero-Emission Vehicles Deployment

Transportation Research Record Journal of the Transportation Research Board ◽

10.3141/2628-09 ◽

2017 ◽

Vol 2628 (1) ◽

pp. 78-86 ◽

Cited By ~ 2

Author(s):

Wenbo Fan ◽

Sevgi Erdogan ◽

Timothy F. Welch ◽

Frederick W. Ducca

Keyword(s):

Travel Demand ◽

Spatial Scales ◽

Spatial Differentiation ◽

Market Penetration ◽

Effective Strategies ◽

Decision Making Processes ◽

Emission Models ◽

Zero Emission ◽

Mobile Emission ◽

The Impact

Under worldwide environmental stress, zero-emission vehicles (ZEV) are rapidly coming to market. However, it is not clear how such vehicles reduce vehicular emissions at a spatially explicit level, which is crucial for developing specific policies. This study proposed a quantitative approach to estimate the effectiveness of ZEVs in reducing emissions to support investment decisions promoting the use of ZEVs. The approach uses existing statewide travel demand and mobile emission models in an integrated framework. Scenarios are designed to measure the emissions reduction effects of ZEVs at different spatial scales (statewide, county, and roadway) and characteristics (densely and sparsely populated counties) and with various levels of market penetration and driving range limits. Results show significant spatial differentiation of the impact of ZEV deployment from county to roadway levels. Offering greater spatial detail and new insights on decision-making processes, this study described an integrated tool for identifying effective strategies for ZEV implementation.

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Researches on a photocatalytic device for toxic hydrocarbons removal from IC engine exhausts

Combustion Engines ◽

10.19206/ce-2019-425 ◽

2019 ◽

Vol 179 (4) ◽

pp. 151-155

Author(s):

Aleksander GÓRNIAK ◽

Anna JANICKA ◽

Daniel MICHNIEWICZ ◽

Justyna MOLSKA ◽

Maria SKRĘTOWICZ ◽

...

Keyword(s):

Negative Impact ◽

Polyaromatic Hydrocarbons ◽

Ventilation System ◽

Vehicle Interior ◽

Ic Engine ◽

Vehicle Cabin ◽

Benzene Toluene ◽

Ic Engines ◽

Mobile Emission

Hydrocarbons, especially aromatic volatile organic compounds (AVOCs) and polyaromatic hydrocarbons (PAHs), emitted by IC engines, indisputably have a negative impact on the environment and public health. Even though current legislation strongly impacts on their low concentration in the exhausts, not quantity but the quality of those substances determines fumes toxicity. The paper presents results of the researches on a photocatalytic device dedicated to BTX (benzene-toluene-xylene) removal from IC engine exhausts, which can be applied in a vehicle cabin ventilation system. According to the results, the system is able to decrease toxic compounds concentration (caused by mobile emission sources) in inlet-air delivered to the vehicle interior. In effect, the system application reduces the users of a vehicle to exposure on contaminants.

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