scholarly journals Study on sensitivity of national annual pollutant emission from passenger cars to traffic patterns

2017 ◽  
Vol 171 (4) ◽  
pp. 170-174
Author(s):  
Katarzyna BEBKIEWICZ ◽  
Zdzisław CHŁOPEK ◽  
Grzegorz STOSIO ◽  
Krystian SZCZEPAŃSKI ◽  
Magdalena ZIMAKOWSKA-LASKOWSKA
Keyword(s):  
Pollutant Emission ◽  
Emission Model ◽  
Total Emission ◽  
Traffic Patterns ◽  
Passenger Cars ◽  
Traffic Pattern ◽  
Traffic Conditions ◽  
Total Length ◽  
Urban Rural ◽  
Selection Of

The paper presents the results of the study on the sensitivity of the national annual pollutant emission from passenger cars to traffic patterns. The study was carried out in accordance with the methodology applied in the COPERT 4 software. The traffic pattern was modelled as the share of road lengths under various traffic conditions: urban, rural and on motorways and expressways, in the total length of trips covered by vehicles. A relatively small and less varied sensitivity of the national annual pollutant emission from passenger cars to the traffic pattern was found due to the substance emitted. This was considered to be a valuable proposal for the selection of parameters for the total emission model of vehicular pollutants, in view of the difficulty of estimating the share of road lengths under model traffic conditions.

scholarly journals Effect of average velocity of passenger cars on national annual emission of pollutants

2017 ◽  
Vol 171 (4) ◽  
pp. 121-126
Author(s):  
Katarzyna BEBKIEWICZ ◽  
Zdzisław CHŁOPEK ◽  
Krystian SZCZEPAŃSKI ◽  
Magdalena ZIMAKOWSKA-LASKOWSKA
Keyword(s):  
Rural Areas ◽  
Average Velocity ◽  
Road Traffic ◽  
Pollutant Emission ◽  
Passenger Cars ◽  
Traffic Conditions ◽  
Urban Rural ◽  
Traffic Speed

The paper presents the results of the study on the sensitivity of the national annual emission of pollutants from passenger cars to their average velocity under the following traffic conditions: urban, rural, and on motorways and expressways. The study was carried out in accordance with the methodology used in the COPERT 4 software. The effect of traffic speed within cumulated categories of passenger cars on the national emission of pollutants was analyzed. The national annual pollutant emission of pollutants was found to be substantially affected by the average car velocity, this effect being largely differentiated due to the character of road traffic. The type of the dependence of the national annual pollutant emission on the average velocity is similar for all substances, especially under traffic conditions in rural areas as well as on highways and expressways. A distinct minimum of the national pollutant emission was found at a velocity of about 70 km/h under rural conditions.

scholarly journals Evolution of national annual pollutant emission from motor vehicles in Poland

2017 ◽  
Vol 171 (4) ◽  
pp. 92-96
Author(s):  
Katarzyna BEBKIEWICZ ◽  
Zdzisław CHŁOPEK ◽  
Krystian SZCZEPAŃSKI ◽  
Magdalena ZIMAKOWSKA-LASKOWSKA
Keyword(s):  
Traffic Model ◽  
Motor Vehicles ◽  
Pollutant Emission ◽  
Combustion Engines ◽  
Passenger Cars ◽  
Passenger Car ◽  
Ignition System ◽  
Vehicle Traffic ◽  
Urban Rural

The work analyses the national annual emission of pollutants from passenger cars in Poland, in the years 2000–2015, including the classification of combustion engines relative to the ignition system. The study was carried out in accordance with the methodology used in the COPERT 4 software. The vehicle traffic model was analysed under the following conditions: urban, rural and on motorways and expressways. The national annual pollutant emission was found to change substantially alongside the changes in vehicle properties over the period analysed; the effect varied due to the performance of respective substances. The relative annual national emission of the various pollutants compared to the situation in 2000 were determined. There was a clear declining trend, from 2008 onwards, in the relative annual emission of pollutants from a representative passenger car; this was valid for all substances.

scholarly journals Comparison of pollutant emission associated with the operation of passenger cars with internal combustion engines and passenger cars with electric motors

2021 ◽  
Author(s):  
Katarzyna Bebkiewicz ◽  
Zdzisław Chłopek ◽  
Hubert Sar ◽  
Krystian Szczepański
Keyword(s):  
Energy Consumption ◽  
Internal Combustion Engines ◽  
Pollutant Emissions ◽  
Pollutant Emission ◽  
Combustion Engines ◽  
Compression Ignition ◽  
Spark Ignition Engines ◽  
Passenger Cars ◽  
Traffic Conditions ◽  
Compression Ignition Engines

AbstractEnergy consumption and pollutant emission aspects were ascertained for cars under traffic conditions: in cities, outside cities, on motorways and expressways, with the use of data from the inventory of emissions from road transport in Poland in 2018. The values of characteristics of energy consumption under model traffic conditions, as well as pollutant emissions and energy consumption of cars with internal combustion engines and cars with electric motors, constituted the basis for further analyses and conclusions about the characteristics of the vehicles under the study in terms of energy consumption and pollutant emissions. As a result of the research, it was found in the case of the use of electric drives, a very significant decrease in energy consumption—by 70% and the emission of non-methane volatile organic compounds—at the level of 90%. In the case of the emission of nitrogen oxides, there is a great advantage in relation to cars with compression-ignition engines, while the emission of nitrogen oxides from cars with spark-ignition engines is about two times lower. It was found that the emission of particulate matter for electric cars is about three times higher than for cars with compression-ignition engines and almost six times higher than for cars with spark-ignition engines. On the other hand, the impact on carbon dioxide emissions is small—less than 10%.

Fuzzy ART Neural Network Model for Automated Detection of Freeway Incidents

1998 ◽  
Vol 1634 (1) ◽  
pp. 56-63 ◽  
Author(s):  
Sherif S. Ishak ◽  
Haitham M. Al-Deek
Keyword(s):  
Neural Networks ◽  
False Alarm ◽  
False Alarm Rate ◽  
Back Propagation ◽  
Incident Detection ◽  
Traffic Patterns ◽  
Traffic Pattern ◽  
Detection Algorithms ◽  
Fuzzy Art ◽  
Freeway Incidents

Pattern recognition techniques such as artificial neural networks continue to offer potential solutions to many of the existing problems associated with freeway incident-detection algorithms. This study focuses on the application of Fuzzy ART neural networks to incident detection on freeways. Unlike back-propagation models, Fuzzy ART is capable of fast, stable learning of recognition categories. It is an incremental approach that has the potential for on-line implementation. Fuzzy ART is trained with traffic patterns that are represented by 30-s loop-detector data of occupancy, speed, or a combination of both. Traffic patterns observed at the incident time and location are mapped to a group of categories. Each incident category maps incidents with similar traffic pattern characteristics, which are affected by the type and severity of the incident and the prevailing traffic conditions. Detection rate and false alarm rate are used to measure the performance of the Fuzzy ART algorithm. To reduce the false alarm rate that results from occasional misclassification of traffic patterns, a persistence time period of 3 min was arbitrarily selected. The algorithm performance improves when the temporal size of traffic patterns increases from one to two 30-s periods for all traffic parameters. An interesting finding is that the speed patterns produced better results than did the occupancy patterns. However, when combined, occupancy–speed patterns produced the best results. When compared with California algorithms 7 and 8, the Fuzzy ART model produced better performance.

scholarly journals Electric Boosting and Energy Recovery Systems for Engine Downsizing

Energies ◽  
2019 ◽  
Vol 12 (24) ◽  
pp. 4636 ◽  
Author(s):  
Mamdouh Alshammari ◽  
Fuhaid Alshammari ◽  
Apostolos Pesyridis
Keyword(s):  
Fuel Economy ◽  
Energy Recovery ◽  
Passenger Cars ◽  
Pros And Cons ◽  
Boosting Method ◽  
Increasing Demand ◽  
Selection Of

Due to the increasing demand for better fuel economy and increasingly stringent emissions regulations, engine manufacturers have paid attention towards engine downsizing as the most suitable technology to meet these requirements. This study sheds light on the technology currently available or under development that enables engine downsizing in passenger cars. Pros and cons, and any recently published literature of these systems, will be considered. The study clearly shows that no certain boosting method is superior. Selection of the best boosting method depends largely on the application and complexity of the system.

scholarly journals TOWARDS AN EFFICIENT TRAFFIC CONGESTION PREDICTION METHOD BASED ON NEURAL NETWORKS AND BIG GPS DATA

2019 ◽  
Vol 20 (1) ◽  
pp. 108-118 ◽  
Author(s):  
Wiam Elleuch ◽  
Ali Wali ◽  
Adel M. Alimi
Keyword(s):  
Traffic Congestion ◽  
Prediction Method ◽  
Traffic Information ◽  
Gps Data ◽  
Traffic Patterns ◽  
Dynamic Changes ◽  
Traffic Conditions ◽  
Congestion Prediction ◽  
Different Types ◽  
Nonparametric Techniques

ABSTRACT: The prediction of accurate traffic information such as speed, travel time, and congestion state is a very important task in many Intelligent Transportations Systems (ITS) applications. However, the dynamic changes in traffic conditions make this task harder. In fact, the type of road, such as the freeways and the highways in urban regions, can influence the driving speeds and the congestion state of the corresponding road. In this paper, we present a NNs-based model to predict the congestion state in roads. Our model handles new inputs and distinguishes the dynamic traffic patterns in two different types of roads: highways and freeways. The model has been tested using a big GPS database gathered from vehicles circulating in Tunisia. The NNs-based model has shown their capabilities of detecting the nonlinearity of dynamic changes and different patterns of roads compared to other nonparametric techniques from the literature. ABSTRAK: Ramalan maklumat trafik yang tepat seperti kelajuan, masa perjalanan dan keadaan kesesakan adalah tugas yang sangat penting dalam banyak aplikasi Sistem Pengangkutan Pintar (ITS). Walau bagaimanapun, perubahan keadaan lalu lintas yang dinamik menjadikan tugas ini menjadi lebih sukar. Malah, jenis jalan raya, seperti jalan raya dan lebuh raya di kawasan bandar, boleh mempengaruhi kelajuan memandu dan keadaan kesesakan jalan yang sama. Dalam makalah ini, kami membentangkan model berasaskan NN untuk meramalkan keadaan kesesakan di jalan raya. Model kami mengendalikan input baru dan membezakan corak trafik dinamik dalam dua jenis jalan raya yang lebuh raya dan jalan raya. Model ini telah diuji menggunakan pangkalan data GPS yang besar yang dikumpulkan dari kenderaan yang beredar di Tunisia. Model berasaskan NNs telah menunjukkan keupayaan mereka untuk mengesan ketiadaan perubahan dinamik dan pola jalan yang berbeza berbanding dengan teknik nonparametrik yang lain dari kesusasteraan.

scholarly journals The Inspiration of European Countries’ Rural Value Orientation to China’s Rural Revitalization

2021 ◽  
Vol 3 (5) ◽  
pp. 205-210
Author(s):  
Yong-Sheng Xu
Keyword(s):  
Rural Areas ◽  
Industrial Revolution ◽  
Value Orientation ◽  
European Countries ◽  
Rural Revitalization ◽  
Urban Rural ◽  
Urbanization Rate ◽  
Rural Construction ◽  
Selection Of

The economy of European countries developed rapidly after the Western Industrial Revolution, and the rural areas of European countries also experienced long-term failure and depression. In the process of urbanization construction, the rural construction also faced many problems. In particular, after the urbanization rate exceeded 50%, European countries took targeted measures to revitalize rural areas in response to many problems in rural development, promoting the development process of urban-rural integration. Especially in Europe in the value orientation in the process of rural construction, there are many worth learning and using for reference of experience, in this paper, the European countries value index selection of rural construction, and implementation of rural construction scheme under this value orientation [1] research summary, draw lessons from the mature experience of the European countries rural construction, combined with China’s national conditions related to rural revitalization of advice are put forward.

scholarly journals Analysis of the Modified Construction of the Column Mechanism MacPherson

2018 ◽  
Vol 19 (11) ◽  
pp. 41-44
Author(s):  
Marek Kwietniewski ◽  
Tadeusz Bil
Keyword(s):  
Mathematical Model ◽  
Steering Wheel ◽  
Passenger Cars ◽  
Proper Selection ◽  
Front Suspension ◽  
Change Of Direction ◽  
Partial Elimination ◽  
Selection Of

The McPherson column name comes from the inventor of this Earle S. MacPherson solution, which was first manufactured at the Ford plant in 1949. This is one of the most commonly used types of front suspension in popular passenger cars. The advantage of this type of suspension is a compact construction, but the disadvantage is. The influence of the damping motion on the position of the steering wheel may result in an unintentional change of direction of travel. At the same time, there is a slight additional tilt of the wheels when the "spring" movement. In the proposed solution, partial elimination of this type of incorrectness is proposed by changing the type of connection of the steering rod end to the steering wheels of the vehicle. The introduced change consists in replacing one of the spherical joints in these joints into two rotary joints. Such a change introduces a mathematical model describing the behavior of the suspension under the influence of the depreciation of additional parameters. Proper selection of these parameters allows for significant reduction of unnecessary direction changes during driving. The described model of the structure of the mechanism allows to analyze the influence of all its dimensions on the selected parameters of the behavior of the wheels during the ride, resulting from the movement of the suspension and steering.

scholarly journals Exhaust Emissions and Energy Consumption Analysis of Conventional, Hybrid, and Electric Vehicles in Real Driving Cycles

Energies ◽  
2020 ◽  
Vol 13 (23) ◽  
pp. 6423
Author(s):  
Jacek Pielecha ◽  
Kinga Skobiej ◽  
Karolina Kurtyka
Keyword(s):  
Energy Consumption ◽  
Electric Vehicle ◽  
Electric Vehicles ◽  
Carbon Dioxide Emissions ◽  
Gasoline Engine ◽  
Exhaust Emissions ◽  
Hybrid Vehicles ◽  
The European Union ◽  
Passenger Cars ◽  
Traffic Conditions

One of the environmental aims of the European Union is to achieve climate neutrality by 2050. According to European Parliament data, transport emissions accounted for about 25% of global carbon dioxide emissions in 2016, in which road transport had the largest share (approximately 72%). This phenomenon is particularly visible in urban agglomerations. The solution examples are the popularization of hybrid vehicles and the development of electromobility. The aim of this paper is an assessment of the energy consumption and exhaust emissions from passenger cars fitted with different powertrains in actual operation. For the tests, passenger cars with conventional engines of various emission classes were used as well as the latest hybrid vehicles and an electric car. It enabled a comparative assessment of the energy consumption under different traffic conditions, with particular emphasis on the urban phase and the entire RDE (Real Driving Emissions) test. The results were analyzed to identify changes in these environmental factors that have occurred with the technical advancement of vehicles. The lowest total energy consumption in real traffic conditions is characteristic of an electric vehicle; the plug-in hybrid vehicle with a gasoline engine is about 10% bigger, and the largest one is a combustion vehicle (30% bigger than an electric vehicle). These data may contribute to the classification of vehicles and identification of advantages of the latest developments in conventional, hybrid, and electric vehicles.

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