Measuring and Modelling the Concentration of Vehicle-Related PM2.5 and PM10 Emissions Based on Neural Networks
Author
Abstract
Suggested Citation
Download full text from publisher
References listed on IDEAS
- Viacheslav Morozov & Vladimir Shepelev & Viktor Kostyrchenko, 2022. "Modeling the Operation of Signal-Controlled Intersections with Different Lane Occupancy," Mathematics, MDPI, vol. 10(24), pages 1-24, December.
- Vladimir Shepelev & Alexandr Glushkov & Tatyana Bedych & Tatyana Gluchshenko & Zlata Almetova, 2021. "Predicting the Traffic Capacity of an Intersection Using Fuzzy Logic and Computer Vision," Mathematics, MDPI, vol. 9(20), pages 1-19, October.
- Vladimir Shepelev & Sultan Zhankaziev & Sergey Aliukov & Vitalii Varkentin & Aleksandr Marusin & Alexey Marusin & Aleksandr Gritsenko, 2022. "Forecasting the Passage Time of the Queue of Highly Automated Vehicles Based on Neural Networks in the Services of Cooperative Intelligent Transport Systems," Mathematics, MDPI, vol. 10(2), pages 1-22, January.
- Noli Brazil, 2022. "Environmental inequality in the neighborhood networks of urban mobility in US cities," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 119(17), pages 2117776119-, May.
- José Balsa-Barreiro & Alfredo J. Morales & Rubén C. Lois-González & Ãtila Bueno, 2021. "Mapping Population Dynamics at Local Scales Using Spatial Networks," Complexity, Hindawi, vol. 2021, pages 1-14, May.
- Vladimir Shepelev & Alexandr Glushkov & Olga Fadina & Aleksandr Gritsenko, 2022. "Comparative Evaluation of Road Vehicle Emissions at Urban Intersections with Detailed Traffic Dynamics," Mathematics, MDPI, vol. 10(11), pages 1-19, May.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Vladimir Shepelev & Aleksandr Glushkov & Ivan Slobodin & Mohammed Balfaqih, 2023. "Studying the Relationship between the Traffic Flow Structure, the Traffic Capacity of Intersections, and Vehicle-Related Emissions," Mathematics, MDPI, vol. 11(16), pages 1-30, August.
- Maksymilian Mądziel, 2024. "Modeling Exhaust Emissions in Older Vehicles in the Era of New Technologies," Energies, MDPI, vol. 17(19), pages 1-18, October.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Mei Sang & Jing Jiang & Xin Huang & Feifei Zhu & Qian Wang, 2024. "Spatial and temporal changes in population distribution and population projection at county level in China," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-13, December.
- Jingya Tang & Lichun Sui, 2022. "Geodetector-Based Livability Analysis of Potential Resettlement Locations for Villages in Coal Mining Areas on the Loess Plateau of China," Sustainability, MDPI, vol. 14(14), pages 1-19, July.
- Irina Makarova & Azhar Serikkaliyeva & Larysa Gubacheva & Eduard Mukhametdinov & Polina Buyvol & Aleksandr Barinov & Vladimir Shepelev & Gulnaz Mavlyautdinova, 2023. "The Role of Multimodal Transportation in Ensuring Sustainable Territorial Development: Review of Risks and Prospects," Sustainability, MDPI, vol. 15(7), pages 1-27, April.
- Morteza Maleki & Mohsen Bahrami & Monica Menendez & Jose Balsa-Barreiro, 2022. "Social Behavior and COVID-19: Analysis of the Social Factors behind Compliance with Interventions across the United States," IJERPH, MDPI, vol. 19(23), pages 1-26, November.
- Bong Gu Kang & Byeong Soo Kim, 2023. "A Study on Cognitive Error Validation for LED In-Ground Traffic Lights Using a Digital Twin and Virtual Environment," Mathematics, MDPI, vol. 11(17), pages 1-16, September.
- Daniel Doz & Darjo Felda & Mara Cotič, 2023. "Demographic Factors Affecting Fuzzy Grading: A Hierarchical Linear Regression Analysis," Mathematics, MDPI, vol. 11(6), pages 1-19, March.
- Krasimira Stoilova & Todor Stoilov, 2023. "Optimizing Traffic Light Green Duration under Stochastic Considerations," Mathematics, MDPI, vol. 11(3), pages 1-25, January.
- Alexey Terentyev & Alexey Marusin & Sergey Evtyukov & Aleksandr Marusin & Anastasia Shevtsova & Vladimir Zelenov, 2023. "Analytical Model for Information Flow Management in Intelligent Transport Systems," Mathematics, MDPI, vol. 11(15), pages 1-16, August.
- Carballosa, Alejandro & Balsa-Barreiro, José & Boullosa, Pablo & Garea, Adrián & Mira, Jorge & Miramontes, Ángel & Muñuzuri, Alberto P., 2022. "Assessing the risk of pandemic outbreaks across municipalities with mathematical descriptors based on age and mobility restrictions," Chaos, Solitons & Fractals, Elsevier, vol. 160(C).
- Leanne M. Brown & Ryan A. Hagenson & Tilen Koklič & Iztok Urbančič & Lu Qiao & Janez Strancar & Jason M. Sheltzer, 2024. "An elevated rate of whole-genome duplications in cancers from Black patients," Nature Communications, Nature, vol. 15(1), pages 1-18, December.
- Bisrat Teklesilassie Yazew & Getachew Kassa, 2024. "Social structure and clan group networks of Afar pastorals along the Lower Awash Valley," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-20, December.
- Lifeng Tan & Huanjie Liu & Jiayi Liu & Jiayin Zhou & Pengfei Zhao & Yukun Zhang & Shuaishuai Zhao & Shenge Shen & Tong Li & Yinggang Wang & Linping Yang, 2022. "Influence of Environmental Factors on the Site Selection and Layout of Ancient Military Towns (Zhejiang Region)," Sustainability, MDPI, vol. 14(5), pages 1-20, February.
- Ran Xu & Xiao Huang & Kai Zhang & Weixuan Lyu & Debarchana Ghosh & Zhenlong Li & Xiang Chen, 2023. "Integrating human activity into food environments can better predict cardiometabolic diseases in the United States," Nature Communications, Nature, vol. 14(1), pages 1-9, December.
- Vladimir Shepelev & Alexandr Glushkov & Olga Fadina & Aleksandr Gritsenko, 2022. "Comparative Evaluation of Road Vehicle Emissions at Urban Intersections with Detailed Traffic Dynamics," Mathematics, MDPI, vol. 10(11), pages 1-19, May.
- Ecer, Fatih & Küçükönder, Hande & Kayapınar Kaya, Sema & Faruk Görçün, Ömer, 2023. "Sustainability performance analysis of micro-mobility solutions in urban transportation with a novel IVFNN-Delphi-LOPCOW-CoCoSo framework," Transportation Research Part A: Policy and Practice, Elsevier, vol. 172(C).
- Hongyan Dui & Yulu Zhang & Songru Zhang & Yun-An Zhang, 2023. "Recovery Model and Maintenance Optimization for Urban Road Networks with Congestion," Mathematics, MDPI, vol. 11(9), pages 1-17, April.
More about this item
Keywords
vehicle-related emissions; recurrent neural networks (RNN); convolutional neural network (CNN); traffic; deep learning;All these keywords.
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jmathe:v:11:y:2023:i:5:p:1144-:d:1080082. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.