Comparison of Speed-Acceleration Profiles from Field Data with NETSIM Output for Modal Air Quality Analysis of Signalized Intersections

1999 ◽  
Vol 1664 (1) ◽  
pp. 40-46 ◽  
Author(s):  
Shauna L. Hallmark ◽  
Randall Guensler
Keyword(s):  
Air Quality ◽  
Field Data ◽  
Signalized Intersections ◽  
Quality Analysis

Air quality analysis in critical zones of Mexico using unsupervised machine learning

2020 ◽  
Author(s):  
Eli G. Pale-Ramon ◽  
Luis J. Morales-Mendoza ◽  
Sonia L. Mestizo-Gutierrez ◽  
Mario Gonzalez-Leee ◽  
Rene F. Vazquez-Bautista ◽  
...  
Keyword(s):  
Machine Learning ◽  
Air Quality ◽  
Quality Analysis ◽  
Unsupervised Machine Learning ◽  
Critical Zones

scholarly journals Air quality analysis through measurement of pb levels in blood using atomic absorption spectrophotometer

2021 ◽  
Vol 1 (2) ◽  
pp. 89-95
Author(s):  
Uitumen Erdenezul
Keyword(s):  
Air Quality ◽  
Atomic Absorption ◽  
Threshold Value ◽  
Daily Activities ◽  
Atomic Absorption Spectrophotometer ◽  
Quality Analysis ◽  
Observational Method ◽  
The Poor ◽  
Pb Exposure ◽  
High Level

Air pollution is a problem that needs attention, especially pollution by heavy metals such as lead (Pb). This research was conducted to measure the levels of Pb in the blood of people who do a lot of daily activities on the highway in the Ulaanbaatar region, Mongolia, so that an overview of the level of exposure to Pb in the air is obtained. The study was conducted using an observational method by measuring the blood directly from the participants using an atomic absorption spectrophotometer. The participants involved were 20 people who met the criteria. The results showed that the average level of Pb in the blood of people who had daily activities on the highway was 8.97 ppm. Where the smallest level is 5.12 ppm and the highest level is 12.06 ppm. This value is far above the threshold value determined by WHO, which is 0.05 ppm. Therefore, it can be concluded that the air quality in the Ulaanbaatar area is in the poor category with a high level of Pb exposure.

Vehicle Air Quality Analysis and Comprehensive Evaluation

2014 ◽  
Vol 507 ◽  
pp. 786-789
Author(s):  
Ruo Jun Wang ◽  
Yan Ying Xu
Keyword(s):  
Air Quality ◽  
Pollution Control ◽  
Quality Evaluation ◽  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Fuzzy Comprehensive Evaluation ◽  
Quality Analysis ◽  
Air Pollution Control ◽  
Short Term ◽  
Comprehensive Evaluation Method

Vehicle air quality is attracted attention more and more with the increase of private vehicles popularization rate but the air quality evaluation is difficult to achieve standardization in the short term. The main pollutants affecting vehicle air quality were analyzed. Index factors were identified and the classification method of vehicle air quality evaluation were determined combining with China and international air quality standards. Fuzzy comprehensive evaluation method was established for vehicle air quality evaluation. According to the degree of different pollutants harm to human body, weight of each index factor was determined. The evaluation results would provide theoretical basis for the comparison of different vehicle air quality conditions and vehicle air pollution control.

Validation of Generalized Delay Model for Vehicle-Actuated Traffic Signals

1997 ◽  
Vol 1572 (1) ◽  
pp. 105-111 ◽  
Author(s):  
Nagui M. Rouphail ◽  
Mohammad Anwar ◽  
Daniel B. Fambro ◽  
Paul Sloup ◽  
Cesar E. Perez
Keyword(s):  
North Carolina ◽  
Field Data ◽  
Traffic Signals ◽  
Signalized Intersections ◽  
Delay Model ◽  
Highway Capacity ◽  
Generalized Model ◽  
Highway Capacity Manual ◽  
Traffic Volumes ◽  
Isolated Intersection

One limitation of the Highway Capacity Manual (HCM) model for estimating delay at signalized intersections is its inadequate treatment of vehicle-actuated traffic signals. For example, the current delay model uses a single adjustment for all types of actuated control and is not sensitive to changes in actuated controller settings. The objective in this paper was to use TRAF-NETSIM and field data to evaluate a generalized delay model developed to overcome some of these deficiencies. NETSIM was used to estimate delay at an isolated intersection under actuated control, and the delay values obtained from NETSIM were then compared with those estimated by the generalized delay model. In addition, field data were collected from sites in North Carolina, and delays observed in the field were compared with those estimated by the generalized delay model. The delays estimated by the generalized model were comparable with the delays estimated by NETSIM. The data compared favorably for degrees of saturation of less than 0.8. However, at higher degrees of saturation, the generalized model produced delays that were higher than NETSIM’s. Some possible explanations for this discrepancy are discussed. The delays estimated by the generalized model were comparable with delays observed in the field. Researchers have concluded that the generalized delay model is sensitive to changes in traffic volumes and vehicle-actuated controller settings and that the generalized delay model is much improved over the current HCM model in estimating delay at vehicle-actuated traffic signals.

scholarly journals Indoor air quality analysis based on Hadoop

2014 ◽  
Vol 17 ◽  
pp. 012260
Author(s):  
Wang Tuo ◽  
Sun Yunhua ◽  
Tian Song ◽  
Yu Liang ◽  
Cui Weihong
Keyword(s):  
Air Quality ◽  
Indoor Air Quality ◽  
Indoor Air ◽  
Quality Analysis

scholarly journals Urban areas parameterisation for CFD simulation and cities air quality analysis

2019 ◽  
Vol 66 (1/2/3) ◽  
pp. 5 ◽  
Author(s):  
Maria Grazia Badas ◽  
Luca Salvadori ◽  
Michela Garau ◽  
Giorgio Querzoli ◽  
Simone Ferrari
Keyword(s):  
Air Quality ◽  
Urban Areas ◽  
Cfd Simulation ◽  
Quality Analysis
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