Traffic-flow & Air Quality Experiment

Christian Gaarde Nielsen; Stanislav Borysov; Mads Gaml; Tina Hjøllund; Vignesh  Krishnamoorthy

Traffic-flow & Air Quality Experiment

Christian Gaarde Nielsen, Stanislav Borysov, Mads Gaml, Tina Hjøllund, Vignesh Krishnamoorthy

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Abstract

The experiment sought to find correlations between traffic management, traffic flow and air quality by measuring the difference between the air pollution levels when cars are waiting for the traffic light to turn green compared to when they are driving through the intersection. The project succeeded in finding as reliable correlations for NO2 and CO as can be achieved in real-life data gathering. The results showed an increase in local pollution levels, which might be caused by acceleration of cars starting from a standstill or trying to cross the intersection before it turns red.

Original language	English
Publication date	2018
Number of pages	10
Publication status	Published - 2018
Event	25^th ITS World Congress - Copenhagen, Denmark Duration: 17 Sept 2018 → 21 Sept 2018

Conference

Conference	25^th ITS World Congress
Country/Territory	Denmark
City	Copenhagen
Period	17/09/2018 → 21/09/2018

Keywords

Air Pollution
Traffic Management

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title = "Traffic-flow & Air Quality Experiment",

abstract = "The experiment sought to find correlations between traffic management, traffic flow and air quality by measuring the difference between the air pollution levels when cars are waiting for the traffic light to turn green compared to when they are driving through the intersection. The project succeeded in finding as reliable correlations for NO2 and CO as can be achieved in real-life data gathering. The results showed an increase in local pollution levels, which might be caused by acceleration of cars starting from a standstill or trying to cross the intersection before it turns red.",

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AU - Nielsen, Christian Gaarde

AU - Borysov, Stanislav

AU - Gaml, Mads

AU - Hjøllund, Tina

AU - Krishnamoorthy, Vignesh

PY - 2018

Y1 - 2018

N2 - The experiment sought to find correlations between traffic management, traffic flow and air quality by measuring the difference between the air pollution levels when cars are waiting for the traffic light to turn green compared to when they are driving through the intersection. The project succeeded in finding as reliable correlations for NO2 and CO as can be achieved in real-life data gathering. The results showed an increase in local pollution levels, which might be caused by acceleration of cars starting from a standstill or trying to cross the intersection before it turns red.

AB - The experiment sought to find correlations between traffic management, traffic flow and air quality by measuring the difference between the air pollution levels when cars are waiting for the traffic light to turn green compared to when they are driving through the intersection. The project succeeded in finding as reliable correlations for NO2 and CO as can be achieved in real-life data gathering. The results showed an increase in local pollution levels, which might be caused by acceleration of cars starting from a standstill or trying to cross the intersection before it turns red.

KW - Air Pollution

KW - Traffic Management

M3 - Paper

T2 - 25<sup>th</sup> ITS World Congress

Y2 - 17 September 2018 through 21 September 2018

ER -

Traffic-flow & Air Quality Experiment

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