Driving Comfort Assistance System Considering Two Sensors Data

In the present work, a system using data from two sensors located next to the driver and to the mass centre of the bus is proposed. Three degrees of discomfort have been used – comfortable, moderately uncomfortable and very uncomfortable. These levels are set out in the questionnaire. A survey was c...

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Main Authors: Karapetkov Stanimir, Uzunov Hristo, Indrie Liliana, Zlatev Zlatin
Format: Article
Language:English
Published: Sciendo 2021-09-01
Series:Acta Mechanica et Automatica
Subjects:
Online Access:https://doi.org/10.2478/ama-2021-0021
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spelling doaj-c347e496a4004fda868f06fbc54e62e12021-10-03T07:42:44ZengSciendoActa Mechanica et Automatica 2300-53192021-09-0115316416810.2478/ama-2021-0021Driving Comfort Assistance System Considering Two Sensors DataKarapetkov Stanimir0Uzunov Hristo1Indrie Liliana2Zlatev Zlatin3Technical University of Sofia, Faculty and College of Sliven, Sliven 59 Burgasko Shose Blvd 59, BulgariaTechnical University of Sofia, Faculty and College of Sliven, Sliven 59 Burgasko Shose Blvd 59, BulgariaUniversity of Oradea, Faculty of Energy Engineering and Industrial Management, Department of Textiles, Leather and Industrial Management, B.St.Delavrancea Str., no. 4, 410058, Oradea, RomaniaTrakia university, Faculty of Technics and technologies, 38 Graf Ignatiev str., 8602, Yambol, BulgariaIn the present work, a system using data from two sensors located next to the driver and to the mass centre of the bus is proposed. Three degrees of discomfort have been used – comfortable, moderately uncomfortable and very uncomfortable. These levels are set out in the questionnaire. A survey was conducted. Respondents were selected between the ages of 14 and 65 and were divided into three age groups – adults, middle-aged and young. Accelerometer systems with MPU-6500 (TDK InvenSense Corp.) sensors are used. A correlation method (CORR) and sequentially improving estimation methods are used for feature selection, which significantly reduce the number of combinations of features obtained. Selected sensor data is entered into feature vectors. These vectors are reduced by principal component analysis. Predictive models have been created that take into account the age of passengers. The use of data from two sensors and separation of the passengers according their age, leads to an increase in the accuracy of predicting passengers discomfort level (DL) of up to 98%. These results can be used to evaluate and guide the vehicle driver in order to improve his driving style. In addition, the simplified interface does not distract the driver from the road conditions. The results obtained can lead to an improvement in the parameters of the transport process, which covers the interest of the carrier related to the efficient use of vehicles, and hence the reduction of fuel consumption and harmful emissions. However, it should be recommended that, when developing systems to ensure comfort of travel, adjustments should be made to suit the age group of passengers carried on public transport buses.https://doi.org/10.2478/ama-2021-0021stated preference surveypredictive modelcustomer satisfactionpassenger comfortpassenger servicedriver assistance system
collection DOAJ
language English
format Article
sources DOAJ
author Karapetkov Stanimir
Uzunov Hristo
Indrie Liliana
Zlatev Zlatin
spellingShingle Karapetkov Stanimir
Uzunov Hristo
Indrie Liliana
Zlatev Zlatin
Driving Comfort Assistance System Considering Two Sensors Data
Acta Mechanica et Automatica
stated preference survey
predictive model
customer satisfaction
passenger comfort
passenger service
driver assistance system
author_facet Karapetkov Stanimir
Uzunov Hristo
Indrie Liliana
Zlatev Zlatin
author_sort Karapetkov Stanimir
title Driving Comfort Assistance System Considering Two Sensors Data
title_short Driving Comfort Assistance System Considering Two Sensors Data
title_full Driving Comfort Assistance System Considering Two Sensors Data
title_fullStr Driving Comfort Assistance System Considering Two Sensors Data
title_full_unstemmed Driving Comfort Assistance System Considering Two Sensors Data
title_sort driving comfort assistance system considering two sensors data
publisher Sciendo
series Acta Mechanica et Automatica
issn 2300-5319
publishDate 2021-09-01
description In the present work, a system using data from two sensors located next to the driver and to the mass centre of the bus is proposed. Three degrees of discomfort have been used – comfortable, moderately uncomfortable and very uncomfortable. These levels are set out in the questionnaire. A survey was conducted. Respondents were selected between the ages of 14 and 65 and were divided into three age groups – adults, middle-aged and young. Accelerometer systems with MPU-6500 (TDK InvenSense Corp.) sensors are used. A correlation method (CORR) and sequentially improving estimation methods are used for feature selection, which significantly reduce the number of combinations of features obtained. Selected sensor data is entered into feature vectors. These vectors are reduced by principal component analysis. Predictive models have been created that take into account the age of passengers. The use of data from two sensors and separation of the passengers according their age, leads to an increase in the accuracy of predicting passengers discomfort level (DL) of up to 98%. These results can be used to evaluate and guide the vehicle driver in order to improve his driving style. In addition, the simplified interface does not distract the driver from the road conditions. The results obtained can lead to an improvement in the parameters of the transport process, which covers the interest of the carrier related to the efficient use of vehicles, and hence the reduction of fuel consumption and harmful emissions. However, it should be recommended that, when developing systems to ensure comfort of travel, adjustments should be made to suit the age group of passengers carried on public transport buses.
topic stated preference survey
predictive model
customer satisfaction
passenger comfort
passenger service
driver assistance system
url https://doi.org/10.2478/ama-2021-0021
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