109 citations as recorded by crossref.

1. Spatio-Temporal Variations of Multiple Primary Air Pollutants Emissions in Beijing of China, 2006–2015 Y. Xue et al. 10.3390/atmos10090494
2. Quantifying on-road vehicle emissions during traffic congestion using updated emission factors of light-duty gasoline vehicles and real-world traffic monitoring big data X. Chen et al. 10.1016/j.scitotenv.2022.157581
3. A research product for tropospheric NO2 columns from Geostationary Environment Monitoring Spectrometer based on Peking University OMI NO2 algorithm Y. Zhang et al. 10.5194/amt-16-4643-2023
4. Characteristics, emissions and source identifications of particle polycyclic aromatic hydrocarbons from traffic emissions using tunnel measurement X. Fang et al. 10.1016/j.trd.2018.02.021
5. Estimation and Analysis of Air Pollutant Emissions from On-Road Vehicles in Changzhou, China M. Guo et al. 10.3390/atmos15020192
6. Estimation of exposure and premature mortality from near-roadway fine particulate matter concentrations emitted by heavy-duty diesel trucks in Beijing B. Zhang et al. 10.1016/j.envpol.2022.119990
7. Enhanced commercial cooking inventories from the city scale through normalized emission factor dataset and big data P. Lin et al. 10.1016/j.envpol.2022.120320
8. Estimativa das emissões veiculares na região metropolitana de Fortaleza, CE, ano-base 2010 T. Lopes et al. 10.1590/s1413-41522018173312
9. Developing a vehicle emission inventory with high temporal-spatial resolution in Tianjin, China S. Sun et al. 10.1016/j.scitotenv.2021.145873
10. Quantifying the Environmental Impact of Vehicle Emissions Due to Traffic Diversion Plans for Road Infrastructure Construction Projects: A Case Study in China M. Ma et al. 10.3390/su15107825
11. Measurements of traffic-dominated pollutant emissions in a Chinese megacity F. Squires et al. 10.5194/acp-20-8737-2020
12. A comprehensive spatial and temporal vehicular emissions for northeast China S. Ibarra-Espinosa et al. 10.1016/j.atmosenv.2020.117952
13. Construction of Heavy-Duty Diesel Vehicle Atmospheric Pollutant Emission Inventory Based on Onboard Diagnosis Data T. Chen et al. 10.3390/atmos15121473
14. Air pollution in China: Status and spatiotemporal variations C. Song et al. 10.1016/j.envpol.2017.04.075
15. Research on the Temporal and Spatial Characteristics of Air Pollutants in Sichuan Basin C. Fang et al. 10.3390/atmos12111504
16. Long-term spatiotemporal evolution and coordinated control of air pollutants in a typical mega-mountain city of Cheng-Yu region under the “dual carbon” goal X. Li et al. 10.1080/10962247.2023.2232744
17. Evaluation of low emission zone policy on vehicle emission reduction in Beijing, China Y. Zhang et al. 10.1088/1755-1315/121/5/052070
18. On-road vehicle emission inventory and its spatio-temporal variations in North China Plain P. Jiang et al. 10.1016/j.envpol.2020.115639
19. Uncovering temporal-spatial drivers of vehicular NOx emissions in China J. Wang et al. 10.1016/j.jclepro.2020.125635
20. Effect of sub-urban scale lockdown on air pollution in Beijing P. Brimblecombe & Y. Lai 10.1016/j.uclim.2020.100725
21. Characterizing the air pollution of the cities in the closure of corona virus disease 2019 in China H. Yao et al. 10.1007/s13762-021-03311-4
22. Data-driven network loading N. Tsanakas et al. 10.1080/21680566.2020.1847213
23. Status and quality evaluation of precursor emission inventories for PM<sub>2.5</sub> and ozone in China Z. Huang et al. 10.1360/TB-2021-0783
24. Replacing urban trucks via ground–air cooperation X. Qu et al. 10.1016/j.commtr.2022.100080
25. Spatiotemporal evolution pattern detection for heavy-duty diesel truck emissions using trajectory mining: A case study of Tianjin, China S. Cheng et al. 10.1016/j.jclepro.2019.118654
26. PM2.5-bound polycyclic aromatic hydrocarbons (PAHs) and their derivatives (nitrated-PAHs and oxygenated-PAHs) in a road tunnel located in Qingdao, China: Characteristics, sources and emission factors T. Zhao et al. 10.1016/j.scitotenv.2020.137521
27. Study of Mobile Source Pollutants Based on Multi-Source Data Fusion: A Case Study of Zibo City, China C. Zheng et al. 10.3390/su15118481
28. Characterization of the vehicle emissions in the Greater Taipei Area through vision-based traffic analysis system and its impacts on urban air quality I. Tsai et al. 10.1016/j.scitotenv.2021.146571
29. Updating emission inventories for vehicular organic gases: Indications from cold-start and temperature effects on advanced technology cars Z. Zhang et al. 10.1016/j.scitotenv.2023.163544
30. Past and future trends of vehicle emissions in Tianjin, China, from 2000 to 2030 S. Sun et al. 10.1016/j.atmosenv.2019.04.016
31. Emissions from the Road Traffic of West African Cities: Assessment of Vehicle Fleet and Fuel Consumption M. Doumbia et al. 10.3390/en11092300
32. Unexpected moderate contribution of intermediate volatility organic compounds from gasoline vehicle emission to secondary organic aerosol formation in summer of Beijing R. Tang et al. 10.1016/j.atmosres.2023.106990
33. Source–Receptor Relationship Revealed by the Halted Traffic and Aggravated Haze in Beijing during the COVID-19 Lockdown Z. Lv et al. 10.1021/acs.est.0c04941
34. Operational Data-Driven Intelligent Modelling and Visualization System for Real-World, On-Road Vehicle Emissions—A Case Study in Hangzhou City, China L. Wang et al. 10.3390/su14095434
35. Regulation-driven changes in PM2.5 sources in China from 2013 to 2019, a critical review and trend analysis T. Zhang et al. 10.1016/j.scitotenv.2024.173091
36. A Comprehensive 2018-Based Vehicle Emission Inventory and Its Spatial–Temporal Characteristics in the Central Liaoning Urban Agglomeration, China Y. Liu et al. 10.3390/ijerph19042033
37. Nighttime NO emissions strongly suppress chlorine and nitrate radical formation during the winter in Delhi S. Haslett et al. 10.5194/acp-23-9023-2023
38. Characterization of PM-Bound Heavy Metal at Road Environment in Tianjin: Size Distribution and Source Identification Q. Zhang et al. 10.3390/atmos12091130
39. Temporal-spatial dynamic characteristics of vehicle emissions on intercity roads in Guangdong Province based on vehicle identity detection data H. Ding et al. 10.1016/j.jes.2022.06.034
40. Vehicular non-exhaust particulate emissions in Chinese megacities: Source profiles, real-world emission factors, and inventories J. Zhang et al. 10.1016/j.envpol.2020.115268
41. Development and Application of Urban High Temporal-Spatial Resolution Vehicle Emission Inventory Model and Decision Support System Y. Zhang et al. 10.1007/s10666-017-9551-9
42. Multiscale spatiotemporal variations of NOx emissions from heavy duty diesel trucks in the Beijing-Tianjin-Hebei region S. Cheng et al. 10.1016/j.scitotenv.2022.158753
43. Coordinated control of PM2.5 and O3 is urgently needed in China after implementation of the “Air pollution prevention and control action plan” H. Zhao et al. 10.1016/j.chemosphere.2020.129441
44. Primary Air Pollutants Emissions Variation Characteristics and Future Control Strategies for Transportation Sector in Beijing, China Y. Xue et al. 10.3390/su12104111
45. A big data approach to improving the vehicle emission inventory in China F. Deng et al. 10.1038/s41467-020-16579-w
46. Development of sectorial and territorial information system to monitor GHG emissions as local and regional climate governance tool: Case study in Valencia (Spain) E. Lorenzo-Sáez et al. 10.1016/j.uclim.2022.101125
47. Dynamic emission characteristics and control strategies of air pollutants from motor vehicles in downtown Beijing, China Y. Shen et al. 10.1016/j.jes.2023.01.019
48. High resolution vehicular exhaust and non-exhaust emission analysis of urban-rural district of India G. Tomar et al. 10.1016/j.scitotenv.2021.150255
49. Integrated effects of SCR, velocity, and Air-fuel Ratio on gaseous pollutants and CO2 emissions from China V and VI heavy-duty diesel vehicles X. Li et al. 10.1016/j.scitotenv.2021.152311
50. Characteristics of Ground-Level Ozone from 2015 to 2018 in BTH Area, China X. Fang et al. 10.3390/atmos11020130
51. Analyzing the Effects of Road Type and Rainy Weather on Fuel Consumption and Emissions: A Mesoscopic Model Based on Big Traffic Data R. Shang et al. 10.1109/ACCESS.2021.3074303
52. Hyperfine-resolution mapping of on-road vehicle emissions with comprehensive traffic monitoring and an intelligent transportation system L. Jiang et al. 10.5194/acp-21-16985-2021
53. Development of a highly spatiotemporally resolved vehicular volatile organic compounds emission inventory based on on-line measurement of speed-dependent emission factor M. Wang et al. 10.1016/j.scitotenv.2024.175176
54. A high-resolution emissions inventory and its spatiotemporal pattern variations for heavy-duty diesel trucks in Beijing, China S. Cheng et al. 10.1016/j.jclepro.2019.119445
55. High-resolution mapping of vehicle emissions of atmospheric pollutants based on large-scale, real-world traffic datasets D. Yang et al. 10.5194/acp-19-8831-2019
56. Development of the Real-time On-road Emission (ROE v1.0) model for street-scale air quality modeling based on dynamic traffic big data L. Wu et al. 10.5194/gmd-13-23-2020
57. High spatiotemporal resolution vehicular emission inventory in Beijing-Tianjin-Hebei and its surrounding areas (BTHSA) during 2000–2020, China C. Zhu et al. 10.1016/j.scitotenv.2023.162389
58. Study on the Uncertainty of the Calibration Device of PM2.5 Mass Concentration Monitor J. Zou et al. 10.1088/1755-1315/450/1/012061
59. Air pollution characteristics and their relation to meteorological conditions during 2014–2015 in major Chinese cities J. He et al. 10.1016/j.envpol.2017.01.050
60. Heavy-duty diesel vehicles dominate vehicle emissions in a tunnel study in northern China C. Song et al. 10.1016/j.scitotenv.2018.04.387
61. An integrated air quality modeling system coupling regional-urban and street models in Beijing T. Wang et al. 10.1016/j.uclim.2022.101143
62. Dynamic quantification of on-road emissions in Hong Kong: Impact from traffic congestion and fleet composition variation X. Li et al. 10.1016/j.atmosenv.2023.120059
63. Street-scale air quality modelling for Beijing during a winter 2016 measurement campaign M. Biggart et al. 10.5194/acp-20-2755-2020
64. Speed-guided intelligent transportation system helps achieve low-carbon and green traffic: Evidence from real-world measurements Z. Yang et al. 10.1016/j.jclepro.2020.122230
65. Development of a road traffic emission inventory with high spatial–temporal resolution in the world’s most densely populated region—Macau X. Li et al. 10.1007/s10661-019-7364-9
66. Spatial–temporal distribution characteristics of pollutants of heavy-duty diesel vehicles in urban road networks: a case study of Kunming City J. Xu et al. 10.1007/s11356-023-31084-5
67. Emission Inventory of On-Road Transport in Bangkok Metropolitan Region (BMR) Development during 2007 to 2015 Using the GAINS Model P. Cheewaphongphan et al. 10.3390/atmos8090167
68. Refined 2013-based vehicle emission inventory and its spatial and temporal characteristics in Zhengzhou, China M. Gong et al. 10.1016/j.scitotenv.2017.03.299
69. Updated emission inventories of power plants in simulating air quality during haze periods over East China L. Zhang et al. 10.5194/acp-18-2065-2018
70. Impact of Illegal Application of Urea Regulator on Real-World Exhaust Nitrogen Oxygen and Particle Number Emissions J. Li et al. 10.3390/atmos13101739
71. Spatially resolved hourly traffic emission over megacity Delhi using advanced traffic flow data A. Biswal et al. 10.5194/essd-15-661-2023
72. High Spatiotemporal Resolution Inventory Finely Depicts the Rebound Characteristics of Greenhouse Gas Emissions from Vehicles in Beijing after the COVID-19 Epidemic Y. Li et al. 10.1021/acs.estlett.5c00065
73. Development of a vehicle emission inventory with high temporal–spatial resolution based on NRT traffic data and its impact on air pollution in Beijing – Part 2: Impact of vehicle emission on urban air quality J. He et al. 10.5194/acp-16-3171-2016
74. Vehicle Emission Models and Traffic Simulators: A Review M. Mądziel 10.3390/en16093941
75. Recent development of a refined multiple air pollutant emission inventory of vehicles in the Central Plains of China X. Gu et al. 10.1016/j.jes.2019.04.010
76. Bottom-Up Emission Inventory and Its Spatio-Temporal Distribution from Paved Road Dust Based on Field Investigation: A Case Study of Harbin, Northeast China L. Li et al. 10.3390/atmos12040449
77. Vehicle emissions in a middle-sized city of China: Current status and future trends S. Sun et al. 10.1016/j.envint.2020.105514
78. Nonlinear impacts of urban built environment on freight emissions T. Peng et al. 10.1016/j.trd.2024.104358
79. Fine-grained vehicle emission management using intelligent transportation system data S. Zhang et al. 10.1016/j.envpol.2018.06.016
80. CarAgent: Collecting and disseminating floating car data in vehicular networks H. Huang et al. 10.1016/j.vehcom.2018.08.002
81. Data Redundancy Mitigation in V2X Based Collective Perceptions H. Huang et al. 10.1109/ACCESS.2020.2965552
82. Quantitative estimation of meteorological impacts and the COVID-19 lockdown reductions on NO2 and PM2.5 over the Beijing area using Generalized Additive Models (GAM) J. Hua et al. 10.1016/j.jenvman.2021.112676
83. Diurnal and weekly patterns of primary pollutants in Beijing under COVID-19 restrictions P. Brimblecombe & Y. Lai 10.1039/D0FD00082E
84. Temporal variations in ambient air quality indicators in Shanghai municipality, China Y. Chen et al. 10.1038/s41598-020-68201-0
85. Evaluation of emission factors for light-duty gasoline vehicles based on chassis dynamometer and tunnel studies in Shanghai, China C. Huang et al. 10.1016/j.atmosenv.2017.09.020
86. Surface–atmosphere fluxes of volatile organic compounds in Beijing W. Acton et al. 10.5194/acp-20-15101-2020
87. Variation of spatio-temporal distribution of on-road vehicle emissions based on real-time RFID data Y. Liu et al. 10.1016/j.jes.2021.07.018
88. RTVEMVS: Real-time modeling and visualization system for vehicle emissions on an urban road network H. Ding et al. 10.1016/j.jclepro.2021.127166
89. Proposal of policies based on temporal-spatial dynamic characteristics and co-benefits of CO2 and air pollutants from vehicles in Shanghai, China Y. Dai et al. 10.1016/j.jenvman.2023.119736
90. Structural decomposition of heavy-duty diesel truck emission contribution based on trajectory mining S. Cheng et al. 10.1016/j.jclepro.2022.135172
91. Source apportionment of PM2.5 at a regional background site in North China using PMF linked with radiocarbon analysis: insight into the contribution of biomass burning Z. Zong et al. 10.5194/acp-16-11249-2016
92. Road Traffic Emission Inventory in an Urban Zone of West Africa: Case of Yopougon City (Abidjan, Côte d’Ivoire) M. Doumbia et al. 10.3390/en14041111
93. The spatial and temporal disaggregation models of high-accuracy vehicle emission inventory H. Feng et al. 10.1016/j.envint.2023.108287
94. Emission characteristics and control scenario analysis of VOCs from heavy-duty diesel trucks S. Cheng et al. 10.1016/j.jenvman.2021.112915
95. A high temporal-spatial vehicle emission inventory based on detailed hourly traffic data in a medium-sized city of China Y. Liu et al. 10.1016/j.envpol.2018.01.068
96. The Online Shortest Path Problem: Learning Travel Times Using a Multiarmed Bandit Framework T. Lagos et al. 10.1287/trsc.2023.0196
97. Emission characteristics and high-resolution spatial and temporal distribution of pollutants from motor vehicles in Chengdu, China Z. Zhou et al. 10.1016/j.apr.2018.12.002
98. A Study of Traffic Emissions Based on Floating Car Data for Urban Scale Air Quality Applications F. Russo et al. 10.3390/atmos12081064
99. Investigation of PM2.5-bound Polycyclic aromatic hydrocarbons (PAHs) and their derivatives (nitrated-PAHs and oxygenated-PAHs) in the roadside environment at the eastern coastal region of China: characterization, source identification, and toxicity evaluation T. Zhao et al. 10.1007/s11869-023-01339-8
100. Road vehicle emission inventory of a Brazilian metropolitan area and insights for other emerging economies N. Policarpo et al. 10.1016/j.trd.2017.12.004
101. Evaluating traffic emission control policies based on large-scale and real-time data: A case study in central China C. Zou et al. 10.1016/j.scitotenv.2022.160435
102. A high-resolution spatial and temporal on-road vehicle emission inventory in an Iranian metropolitan area, Isfahan, based on detailed hourly traffic data O. Ghaffarpasand et al. 10.1016/j.apr.2020.06.006
103. Refueling emission of volatile organic compounds from China 6 gasoline vehicles L. Sun et al. 10.1016/j.scitotenv.2021.147883
104. A study of high temporal-spatial resolution greenhouse gas emissions inventory for on-road vehicles based on traffic speed-flow model: A case of Beijing Y. Li et al. 10.1016/j.jclepro.2020.122419
105. Insight into PM2.5 sources by applying positive matrix factorization (PMF) at urban and rural sites of Beijing D. Srivastava et al. 10.5194/acp-21-14703-2021
106. Emission factors and emission inventory of diesel vehicles in Nepal B. Das et al. 10.1016/j.scitotenv.2021.152539
107. Near Real-Time Spatial and Temporal Distribution of Traffic Emissions in Bangkok Using Google Maps Application Program Interface S. Naiudomthum et al. 10.3390/atmos13111803
108. Modeling and Impact Analysis for Solar Road Integration in Distribution Networks B. Shi et al. 10.1109/TSTE.2022.3230686
109. Study on Particle Size Distribution Characteristics in Urban Roadside Microenvironment Using an ELPI+ X. Fang et al. 10.1007/s11270-022-05942-w