The Effect of Speed Humps on Instantaneous Traffic Emissions

被引:21
作者
Cesar Perez-Sansalvador, Julio [1 ,2 ]
Lakouari, Noureddine [1 ,2 ]
Garcia-Diaz, Jesus [1 ,2 ]
Pomares Hernandez, Saul E. [1 ,3 ]
机构
[1] Inst Nacl Astrofis Opt & Electr, Puebla 72840, Mexico
[2] Consejo Nacl Ciencia & Technol, Cdmx 03940, Mexico
[3] CNRS, LAAS, 7 Ave Colonel Roche, F-31400 Toulouse, France
来源
APPLIED SCIENCES-BASEL | 2020年 / 10卷 / 05期
关键词
traffic emissions; traffic flow; traffic-calming strategies; speed humps; cellular automata; simulation; CELLULAR-AUTOMATON MODEL; AIR-QUALITY IMPACTS; CALMING MEASURES; FLOW MODEL; POLLUTION; CONGESTION; HEALTH;
D O I
10.3390/app10051592
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
Bad air quality due to free pollutants such as particulate matter (PM), carbon dioxide (CO2), nitrogen oxides (NOx) and volatile organic components (VOC) increases the risk of long-term health diseases. The impact of traffic-calming measures on air quality has been studied using specialized equipment at control sites or mounted on cars to monitor pollutants levels. However, this approach suffers from a large number of variables on the experiments such as vehicles types, number of monitored vehicles, driver's behavior, traffic density, time of the day, elapsed monitoring time, road conditions and weather. In this work, we use a cellular automata and an instantaneous traffic emissions model to capture the effect of speed humps on traffic flow and on the generation of CO2, NOx, VOC and PM pollutants. This approach allows us to study and characterize the effect of many speed humps on a single lane. We found that speed humps significantly promote the generation of pollutants when the number of vehicles on a lane is low. Our results may provide insight into urban planning strategies to reduce the generation of traffic emissions and lower the risk of long-term health diseases.
引用
收藏
页数:20
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