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Relevant bibliographies by topics / URBAN TRAFFIC EMISSION

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Journal articles

Academic literature on the topic 'URBAN TRAFFIC EMISSION'

Author: Grafiati

Published: 11 September 2023

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Journal articles on the topic "URBAN TRAFFIC EMISSION"

1

Wang, Haiwei, Huiying Wen, Feng You, Jianmin Xu, and Hailin Kui. "Motor Vehicle Emission Modeling and Software Simulation Computing for Roundabout in Urban City." Mathematical Problems in Engineering 2013 (2013): 1–12. http://dx.doi.org/10.1155/2013/312396.

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In urban road traffic systems, roundabout is considered as one of the core traffic bottlenecks, which are also a core impact of vehicle emission and city environment. In this paper, we proposed a transport control and management method for solving traffic jam and reducing emission in roundabout. The platform of motor vehicle testing system and VSP-based emission model was established firstly. By using the topology chart of the roundabout and microsimulation software, we calculated the instantaneous emission rates of different vehicle and total vehicle emissions. We argued that Integration-Mode

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2

Šarić, Ammar, Suada Sulejmanović, Sanjin Albinović, Mirza Pozder, and Žanesa Ljevo. "The Role of Intersection Geometry in Urban Air Pollution Management." Sustainability 15, no. 6 (2023): 5234. http://dx.doi.org/10.3390/su15065234.

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Air pollution represents one of the most complex problems of humanity. Traffic contributes significantly to this by emitting large amounts of harmful gases. This problem is particularly pronounced at urban intersections due to frequent changes in vehicle movement dynamics. This paper primarily presents the influence of intersection geometry on pollutant emissions levels. In addition, the influence of various traffic policies promoting greater use of public transport and zero-emission vehicles is also examined. The research combines the field part of recording existing intersections in Sarajevo

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3

Jiang, Linhui, Yan Xia, Lu Wang, et al. "Hyperfine-resolution mapping of on-road vehicle emissions with comprehensive traffic monitoring and an intelligent transportation system." Atmospheric Chemistry and Physics 21, no. 22 (2021): 16985–7002. http://dx.doi.org/10.5194/acp-21-16985-2021.

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Abstract. Urban on-road vehicle emissions affect air quality and human health locally and globally. Given uneven sources, they typically exhibit distinct spatial heterogeneity, varying sharply over short distances (10 m–1 km). However, all-around observational constraints on the emission sources are limited in much of the world. Consequently, traditional emission inventories lack the spatial resolution that can characterize the on-road vehicle emission hotspots. Here we establish a bottom-up approach to reveal a unique pattern of urban on-road vehicle emissions at a spatial resolution 1–3 orde

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4

Csikós, Alfréd, Tamás Tettamanti, and István Varga. "MACROSCOPIC MODELING AND CONTROL OF EMISSION IN URBAN ROAD TRAFFIC NETWORKS." TRANSPORT 30, no. 2 (2015): 152–61. http://dx.doi.org/10.3846/16484142.2015.1046137.

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This work suggests a framework for modeling the traffic emissions in urban road traffic networks that are described by the Network Fundamental Diagram (NFD) concept. Traffic emission is formalized in finite spatiotemporal windows as a function of aggregated traffic variables, i.e. Total Travel Distances (TTDs) in the network and network average speed. The framework is extended for the size of an urban network during a signal cycle – the size of a window in which the network aggregated parameters are modeled in the NFD concept. Simulations have been carried out for model accuracy analysis, usin

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5

Alexandrino, Katiuska, Nazly E. Sánchez, Rasa Zalakeviciute, Wilber Acuña, and Fausto Viteri. "Polycyclic Aromatic Hydrocarbons in Araucaria heterophylla Needles in Urban Areas: Evaluation of Sources and Road Characteristics." Plants 11, no. 15 (2022): 1948. http://dx.doi.org/10.3390/plants11151948.

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Araucaria heterophylla needles were collected in urban areas of the city of Quito, Ecuador, to analyze the relationship between the concentration of polycyclic aromatic hydrocarbons (PAHs) with different emission sources and road characteristics. The PAHs were analyzed by high-performance liquid chromatography (HPLC) and included naphthalene (Naph), benzo[a]anthracene (BaA), chrysene (Chry), and benzo[a]pyrene (BaP), which are related to the sources considered in this work. The results indicated that some streets with moderate and low traffic intensity had higher total concentrations of PAHs t

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6

Bebkiewicz, Katarzyna, Zdzisław Chłopek, Hubert Sar, Krystian Szczepański, and Magdalena Zimakowska-Laskowska. "Assessment of impact of vehicle traffic conditions: urban, rural and highway, on the results of pollutant emissions inventory." Archives of Transport 60, no. 4 (2021): 57–69. http://dx.doi.org/10.5604/01.3001.0015.5477.

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The use of motor vehicles varies considerably under distinct traffic conditions: in cities, outside cities as well as on motorways and expressways. The impact of road traffic on the natural environment has been studied for many years, including in terms of the nature of the operation of motor vehicles. This problem is particularly important in highly urbanized areas, where traffic congestion is the source of increased emissions of harmful compounds contained in exhaust gases. For this reason, many cities have traffic restrictions, especially for those cars that do not meet the most stringent e

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7

Wang, Peng, Ruhan Zhang, Shida Sun, et al. "Aggravated air pollution and health burden due to traffic congestion in urban China." Atmospheric Chemistry and Physics 23, no. 5 (2023): 2983–96. http://dx.doi.org/10.5194/acp-23-2983-2023.

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Abstract. Vehicle emissions are regarded as a primary contributor to air pollution and related adverse health impacts. Heavy traffic congestion increases traffic flow and thus produces more O3 precursor emissions, leading to more adverse air quality issues. Although the development of a vehicle emission inventory has received great concern and continuous efforts, limitations still exist. For example, real-time diurnal variations and increases in emission rates due to traffic congestion are not well understood. In this study, we developed a new temporal allocation approach in transportation emi

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8

Bendtsen, Hans, and Lone Reiff. "An urban road traffic emission model." International Journal of Vehicle Design 20, no. 1/2/3/4 (1998): 192. http://dx.doi.org/10.1504/ijvd.1998.001813.

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9

Liu, Tao, Jia Sun, Baihua Liu, et al. "Factors Influencing O3 Concentration in Traffic and Urban Environments: A Case Study of Guangzhou City." International Journal of Environmental Research and Public Health 19, no. 19 (2022): 12961. http://dx.doi.org/10.3390/ijerph191912961.

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Ozone (O3) pollution is a serious issue in China, posing a significant threat to people’s health. Traffic emissions are the main pollutant source in urban areas. NOX and volatile organic compounds (VOCs) from traffic emissions are the main precursors of O3. Thus, it is crucial to investigate the relationship between traffic conditions and O3 pollution. This study focused on the potential relationship between O3 concentration and traffic conditions at a roadside and urban background in Guangzhou, one of the largest cities in China. The results demonstrated that no significant difference in the

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10

Wu, Luolin, Ming Chang, Xuemei Wang, et al. "Development of the Real-time On-road Emission (ROE v1.0) model for street-scale air quality modeling based on dynamic traffic big data." Geoscientific Model Development 13, no. 1 (2020): 23–40. http://dx.doi.org/10.5194/gmd-13-23-2020.

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Abstract. Rapid urbanization in China has led to heavy traffic flows in street networks within cities, especially in eastern China, the economically developed region. This has increased the risk of exposure to vehicle-related pollutants. To evaluate the impact of vehicle emissions and provide an on-road emission inventory with higher spatiotemporal resolution for street-network air quality models, in this study, we developed the Real-time On-road Emission (ROE v1.0) model to calculate street-scale on-road hot emissions by using real-time big data for traffic provided by the Gaode Map navigatio

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