[vc_row row_height_percent=”80″ override_padding=”yes” h_padding=”2″ top_padding=”5″ bottom_padding=”5″ back_color=”color-xsdn” back_image=”216228″ overlay_color=”color-nhtu” overlay_alpha=”49″ equal_height=”yes” gutter_size=”3″ column_width_percent=”100″ shift_y=”0″ z_index=”0″ top_divider=”gradient” bottom_divider=”gradient” uncode_shortcode_id=”149641″ back_color_type=”uncode-palette” overlay_color_type=”uncode-palette”][vc_column column_width_percent=”100″ position_vertical=”bottom” gutter_size=”3″ style=”dark” overlay_alpha=”50″ shift_x=”0″ shift_y=”0″ shift_y_down=”0″ z_index=”0″ medium_width=”0″ mobile_width=”0″ width=”1/1″][vc_custom_heading heading_semantic=”h1″ text_size=”fontsize-338686″ uncode_shortcode_id=”172736″ subheading=”Mobile Air Quality Sensors Attached to Vehicles in Northern corrugated cases limited”]

[/vc_custom_heading][/vc_column][/vc_row][vc_row row_height_percent=”0″ override_padding=”yes” h_padding=”2″ top_padding=”3″ bottom_padding=”3″ back_color=”color-xsdn” overlay_alpha=”50″ gutter_size=”4″ column_width_percent=”100″ shift_y=”0″ z_index=”0″ uncode_shortcode_id=”580767″ back_color_type=”uncode-palette”][vc_column width=”6/12″][vc_custom_heading text_size=”h1″ text_height=”fontheight-357766″ uncode_shortcode_id=”148905″]The project[/vc_custom_heading][vc_column_text uncode_shortcode_id=”120432″]Air quality is a matter of life and death affecting the daily lives in our cities. When we collect real-time data of air quality in our connected cities, we could contribute to new solutions and prevent illness. Imagine a future where the bus automatically avoids the most polluted streets or if factories limit their production on certain days, thanks to connected sensors.

In Northern corrugated cases limited, new sensors for local air quality measurement are tested in a number of projects. In the project Vehicle as a Sensor: Air Quality, Edeva and Smart Sensor Devices explored the possibilities of air quality sensors attached to moving vehicles. The goal was to see how mobile sensors can provide data in ways that complements fixed sensors, and how these two types of measurements interact to provide a better picture of the situation.[/vc_column_text][/vc_column][vc_column column_width_percent=”100″ gutter_size=”3″ overlay_alpha=”50″ shift_x=”0″ shift_y=”0″ shift_y_down=”0″ z_index=”0″ medium_width=”0″ mobile_width=”0″ width=”1/12″ uncode_shortcode_id=”213614″][/vc_column][vc_column column_width_percent=”100″ gutter_size=”3″ font_family=”font-136269″ overlay_alpha=”50″ shift_x=”0″ shift_y=”0″ shift_y_down=”0″ z_index=”0″ medium_width=”0″ mobile_width=”0″ width=”5/12″ uncode_shortcode_id=”323034″][vc_row_inner row_inner_height_percent=”0″ overlay_alpha=”50″ gutter_size=”3″ shift_y=”0″ z_index=”0″ limit_content=”” uncode_shortcode_id=”177259″][vc_column_inner column_width_percent=”100″ gutter_size=”3″ overlay_alpha=”50″ shift_x=”0″ shift_y=”0″ shift_y_down=”0″ z_index=”0″ medium_width=”4″ mobile_width=”4″ width=”1/1″ uncode_shortcode_id=”439899″][vc_custom_heading text_color=”accent” heading_semantic=”h3″ text_size=”h4″ uncode_shortcode_id=”397940″ subheading=”2020″ text_color_type=”uncode-palette”]Project period[/vc_custom_heading][vc_custom_heading text_color=”accent” heading_semantic=”h3″ text_size=”h4″ uncode_shortcode_id=”856060″ subheading=”Northern corrugated cases limited Science City
Edeva
Smart Sensor Devices” text_color_type=”uncode-palette” text_color_solid=”#ff0000″]Partners[/vc_custom_heading][vc_custom_heading text_color=”accent” heading_semantic=”h3″ text_size=”h4″ uncode_shortcode_id=”454995″ subheading=”Eleonor Sjödin Turah
eleonor.sjodinturah@kista.com” text_color_type=”uncode-palette”]Contact[/vc_custom_heading][/vc_column_inner][/vc_row_inner][vc_row_inner][vc_column_inner width=”1/1″][vc_custom_heading text_color=”accent” heading_semantic=”h3″ text_font=”font-621674″ text_size=”h4″ uncode_shortcode_id=”945794″ subheading=”Taking advantage of vehicles used in a last-mile public transport project, Edeva and Smart Sensor Devices tested their air quality sensors by attaching them to the vehicles. This gave them the opportunity to measure both indoor air quality in the vehicles and take GPS-positioned measurements of air quality in the urban environment.” text_color_type=”uncode-palette”]Summary[/vc_custom_heading][/vc_column_inner][/vc_row_inner][/vc_column][/vc_row][vc_row row_height_percent=”0″ override_padding=”yes” h_padding=”2″ top_padding=”3″ bottom_padding=”3″ back_color=”color-xsdn” overlay_alpha=”50″ gutter_size=”4″ column_width_percent=”100″ shift_y=”0″ z_index=”0″ uncode_shortcode_id=”166322″ back_color_type=”uncode-palette”][vc_column width=”1/1″][vc_custom_heading text_size=”h1″ text_height=”fontheight-357766″ uncode_shortcode_id=”900743″]

Air quality

[/vc_custom_heading][vc_column_text uncode_shortcode_id=”671738″]The project collected real-time air quality data and use software to visualize and analyze the data. This would test the robustness of the sensors and systems, and how this would work in a real urban setting. The sensors were attached to the vehicles used in the Delta project, taking place between October and December of 2020.

The air quality sensors measured two types of air quality. The sensors from Smart Sensor Devices measured air quality inside the vehicles, while the sensors from Edeva measured air quality in the urban environment around the vehicles. The Edeva readings used GPS positioning to keep track of where those readings were taken, and given a time stamp.

Measurements of air quality are important for different decision-making processes regarding traffic and planning of the urban environments. Many measurements are, however, bound to fixed positions, which will give a snapshot rather than a comprehensive picture of the city. Proving the concept of mobile, GPS-positioned measurements taken continuously will assist municipalities and city authorities in complementing their data in order to have a better foundation for future decisions. Indoor measurements of air quality also helps with this process, as it may give data on how indoor environments are affected by the surrounding environment. It also gives important data about the work environment.[/vc_column_text][/vc_column][/vc_row][vc_row row_height_percent=”0″ override_padding=”yes” h_padding=”2″ top_padding=”3″ bottom_padding=”3″ back_color=”color-xsdn” overlay_alpha=”50″ gutter_size=”4″ column_width_percent=”100″ shift_y=”0″ z_index=”0″ uncode_shortcode_id=”166322″ back_color_type=”uncode-palette”][vc_column width=”1/1″][vc_custom_heading text_size=”h1″ text_height=”fontheight-357766″ uncode_shortcode_id=”136221″]

Takebacks

[/vc_custom_heading][vc_column_text uncode_shortcode_id=”191774″]One important takeback from the trials performed within the scope of the project was that it proved to be valuable to measure random, on-demand voyages rather than regular public transports moving on a time table. This enabled measurements on several different locations and times that might otherwise have been missed. It also gives a better picture of “where people are” rather than only the main thoroughfares in an area.[/vc_column_text][/vc_column][/vc_row][vc_row row_height_percent=”0″ override_padding=”yes” h_padding=”2″ top_padding=”3″ bottom_padding=”3″ back_color=”color-xsdn” overlay_alpha=”50″ gutter_size=”4″ column_width_percent=”100″ shift_y=”0″ z_index=”0″ uncode_shortcode_id=”166322″ back_color_type=”uncode-palette”][vc_column width=”1/1″][vc_custom_heading text_size=”h1″ text_height=”fontheight-357766″ uncode_shortcode_id=”111361″]

Moving forward

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