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EN
The purpose of this study was to analyse the possibility of using information from the On Board Diagnostics (OBD) system of the vehicle to determine the characteristics of the driver's driving style. Available data from the OBD system were considered and the most useful ones were selected for further investigation. Selected zero-dimensional characteristics of vehicle velocity as well as characteristics of relative position of the accelerator pedal were proposed as criteria for the assessment of driving style. The tests were carried out in conditions of real road traffic using a passenger car with a spark-ignition engine. The car was equipped with a device for recording signals from the OBD system. The tests included two drivers traveling on routes in the urban and rural areas. The obtained results were used to analyse the driving style of both drivers separately in the considered traffic conditions. On this basis, conclusions on the suitability of information from the OBD system for the assessment of the driver's driving style were formulated.
EN
The drivers' behavior in traffic is a determining factor for the rate of accidents on roads and highways. This paper presents the design an intelligent IoT system capable of inferring and warning about road traffic risks and danger zones, based on data obtained from the vehicles and their drivers mobile phones, thus helping to avoid accidents and seeking preserve the lives of the passengers. The proposed approach is to collect vehicle telemetry data and mobile phone sensors data through an IoT network and then to analyze the drivers' behavior while driving, along with data from the environment. The results of the inference serve to alert the drivers about incidents in their trajectory as well as to provide feedback on how they are driving. The proposal is validated using a developed prototype to test its data collection and inference features in a small scale experiment.
PL
W pracy przedstawiono problematykę badania układu samodiagnostyki w silniku benzynowym. Współczesne sterowniki silników posiadają funkcje samosprawdzania. Funkcja ta polega na tym, iż sygnały z czujników oraz elementów wykonawczych są sprawdzane i porównywane z wartościami nominalnym. Badanie układu stanu samodiagnostyki pojazdu odbywa się poprzez badanie stanu pamięci i zapisanych w niej usterek. Do badania wykorzystano sterownik systemu MOTRONIC ML 4.1 oraz diagnoskop KTS 530 Bosch.
EN
The article presents the problem of self-diagnostic tests on gasoline. Modern motor controllers have a self-check function. This feature consists in that the signals of the sensors and actuators are checked and compared with the nominal values. The testing of the condition of the vehicle self-diagnosis is performed by examining the state of the memory and stored in the fault. The study used a system driver MOTRONIC ML 4.1 and diagnoscope Bosch KTS 530.
PL
W artykule podjęto problematykę diagnozowania układu hamulcowego na podstawie przebiegu sygnałów dostępnych ze złącza OBD. W badaniach wykorzystano samochód Opel Astra III oraz Renault Scenic II, system CDIF2 oraz stanowisko rolkowe do badań hamulców. Zbadano jak zmieniają się wartości dostępnych parametrów podczas hamowania pojazdem z niesprawnym układem hamulcowym. Określono, które z dostępnych parametrów można wykorzystać a które nie.
EN
This article presents problems of brakes fault diagnosis based on the signals available from the OBD. In research used car Opel Astra III and Renault Scenic II, CDIF2 system and the roller brake tester. Changes of measurable parameters during braking a vehicle with defective braking system were examined. This helped with estimation which of available parameters is suitable for diagnostic purposes.
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