Driving comfort assistance system considering two sensors data

• Autorzy: Karapetkov Stanimir , Uzunov Hristo , Indrie Liliana , Zlatev Zlatin

Identyfikatory

DOI

10.2478/ama-2021-0021

• Języki publikacji: EN

Abstrakty

EN

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.

Słowa kluczowe

EN

stated preference survey; predictive model; customer satisfaction; passenger comfort; passenger service; driver assistance system

• Wydawca: Oficyna Wydawnicza Politechniki Białostockiej
• Czasopismo: Acta Mechanica et Automatica
• Rocznik: 2021
• Tom: Vol. 15, no. 3
• Strony: 164--168
• Opis fizyczny: Bibliogr. 19 poz., rys., tab.

Twórcy

autor

Karapetkov Stanimir

• Technical University of Sofia, Faculty and College of Sliven, Sliven 59 Burgasko Shose Blvd 59, Bulgaria

autor

Uzunov Hristo

• Technical University of Sofia, Faculty and College of Sliven, Sliven 59 Burgasko Shose Blvd 59, Bulgaria

• https://orcid.org/0000-0003-2229-2828

autor

Indrie Liliana

• University of Oradea, Faculty of Energy Engineering and Industrial Management, Department of Textiles, Leather and Industrial Management, B.St.Delavrancea Str., no. 4, 410058, Oradea, Romania

• https://orcid.org/0000-0002-7094-4790

autor

Zlatev Zlatin

• Trakia university, Faculty of Technics and technologies, 38 Graf Ignatiev str., 8602, Yambol, Bulgaria

• https://orcid.org/0000-0003-3080-5048

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