Using IoT Solutions in Car Sharing to Reduce CO2 Emissions

Reducing CO2 emissions from transport is one of the climate change targets. Car sharing is becoming increasingly popular in many cities. Taking these two facts into account, the authors conducted a study using a specially designed sensor to collect data from the car and an analytical system to identify the driver’s driving style during car rental. The study analysed more than 770,000 journeys made by 2,061 internal combustion engine cars fitted with the developed sensor. The results were divided into two groups: drivers who did not use the mobile application (45 650 drivers) and therefore did not receive an assessment of their driving style and tips on how to improve it, and drivers (4 453) who agreed to use the application and follow the guidelines it suggested. The study showed that by using a solution that identifies and provides information about a driver’s driving style, it is possible to change that style to one that results in lower fuel consumption and therefore lower CO2 emissions. Analysis of the results showed that the CO2 emissions of drivers who followed the eco-driving guidelines were 14.4% lower than those of drivers who did not. This is a statistically significant difference.

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Publication Details

Journal
IFAC-PapersOnLine
Published
2025-01-01
DOI
https://doi.org/10.1016/j.ifacol.2025.09.229
Primary Topic
Transportation and Mobility Innovations
Type
article
Field-Weighted Citation Impact
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article

Using IoT Solutions in Car Sharing to Reduce CO2 Emissions

Michał Adamczak, Piotr Cyplik, Adrianna Toboła-Walaszczyk
IFAC-PapersOnLine
Transportation and Mobility Innovations
article

Using IoT Solutions in Car Sharing to Reduce CO2 Emissions

Michał Adamczak, Piotr Cyplik, Adrianna Toboła-Walaszczyk
article en

Abstract

Reducing CO2 emissions from transport is one of the climate change targets. Car sharing is becoming increasingly popular in many cities. Taking these two facts into account, the authors conducted a study using a specially designed sensor to collect data from the car and an analytical system to identify the driver’s driving style during car rental. The study analysed more than 770,000 journeys made by 2,061 internal combustion engine cars fitted with the developed sensor. The results were divided into two groups: drivers who did not use the mobile application (45 650 drivers) and therefore did not receive an assessment of their driving style and tips on how to improve it, and drivers (4 453) who agreed to use the application and follow the guidelines it suggested. The study showed that by using a solution that identifies and provides information about a driver’s driving style, it is possible to change that style to one that results in lower fuel consumption and therefore lower CO2 emissions. Analysis of the results showed that the CO2 emissions of drivers who followed the eco-driving guidelines were 14.4% lower than those of drivers who did not. This is a statistically significant difference.

IFAC-PapersOnLineVol. 59(10)
Poznan School of Logistics (PL)
Openalex Percentile: Top 71%
Transportation and Mobility Innovations
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