Floating Car Data: Comparison of Smartphone and On-Board Diagnostics (OBD)

Naz, Erum; Kopica, Franz; Olaverri-Monreal, Cristina

doi:10.1007/978-3-030-45096-0_21

Cited by 3 publications

(1 citation statement)

References 2 publications

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“…The acquisition of vehicular data for the evaluation of traffic conditions, travel times, and driving performance provides the basis for modeling traffic situations and assessing environmental impacts (congestion and traffic f low). The information extracted through onboard diagnostic devices located in vehicles and through alternative, low-cost, ubiquitous, custom-built mobile ap-plications is used to determine traffic flow patterns through localization data, speed, directions of travel, and time [22]. Accurate travel time prediction is also a fundamental topic of current research.…”

Section: Travel Behavior and Driving Performancementioning

confidence: 99%

Chair for Intelligent Transportation Systems–Sustainable Transport Logistics 4.0

Lv¹

2021

IEEE Intell. Transport. Syst. Mag.

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Section: Travel Behavior and Driving Performancementioning

confidence: 99%

Chair for Intelligent Transportation Systems–Sustainable Transport Logistics 4.0

Lv¹

2021

IEEE Intell. Transport. Syst. Mag.

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On some forms of registration and display of modes of operation of vehicles

Kolesnikov

Malchikov

Blyankinshtein

2020

J. Phys.: Conf. Ser.

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The article discusses the shortcomings of existing methods of accounting for engine operating time for the purpose of forming standards and modes of maintenance and repair. The results of testing a vehicle using specialized tools, including an adapter to the OBD diagnostic connector and a smartphone with special software, which allows registering, storing and accumulating data on the speed and load modes of the engine and the car, are presented. According to the test results, the drawbacks of registering the parameters of speed and load modes are analyzed by traditional characteristics in the form of mathematical expectation and variance of random variables. Methods of formalized display of the character of parameter changes in time are considered using autocorrelation functions and matrices of transition probabilities. The results of testing the analysis of the nature of changes in operating parameters in urban and mainline operating conditions are presented.

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Simulation of the Vehicle Fault Detection Mode on the Basis of a Training and Research Stand

Fatkieva,

Domanskij

2023

vkit

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The article pinpoints main problems in developing intelligent systems for specialist’s tution in motor vehicles expluatation field. These include the lack of means for a comprehensive analysis to detect the violations and causality revealing mechanisms that allow the skills and competencies setup necessary for a specialist. The buildup of stands for troubleshooting on the basis of existing units and parts of vehicles is difficult due to the high cost of equipment, which creates difficulties for creating specialized training laboratories is shown. A new approach proposed that makes it possible to simulate the malfunction detection mode based on a training and research stand. Which makes it possible to apply the following analysis techniques: current indicators results comparison with previously obtained ones, identification and evaluation of various violations on the functioning of the vehicle, as well as detection of bottlenecks and problems. The given examples can serve as a development basis on the of educational and methodological complexes for specialists training in the diagnosis of motor vehicles, as well as new, more complex models for detecting violations. The developed techniques are good in training the road transport specialists in the mode of full-time or distance learning. Furtherness aims to expand the set of indicators identifying a violation of the safety for functioning, as well as the process of their recognition automatization.

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Floating Car Data: Comparison of Smartphone and On-Board Diagnostics (OBD)

Cited by 3 publications

References 2 publications

Chair for Intelligent Transportation Systems–Sustainable Transport Logistics 4.0

Chair for Intelligent Transportation Systems–Sustainable Transport Logistics 4.0

On some forms of registration and display of modes of operation of vehicles

Simulation of the Vehicle Fault Detection Mode on the Basis of a Training and Research Stand

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