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The speed of sound in a gaseous medium depends on various factors. Since gases constitute molecules that are free to move, they are highly compressible. Hence, sound waves travel slowly through gases. Thermodynamics helps us understand the relationship between pressure, volume, and temperature of gases, thus, the speed of sound in an ideal gas can be determined using the laws of thermodynamics. At the same time, Newton's laws of motion and the continuity equation of fluid dynamics also come...
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Speed Consistency in the Smart Tachograph.

Daniele Borio1, Eduardo Cano2, Gianmarco Baldini3

  • 1European Commission, Joint Research Centre (JRC) Directorate for Space, Security and Migration, 21027 Ispra (VA), Italy. daniele.borio@ec.europa.eu.

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|May 19, 2018
PubMed
Summary
This summary is machine-generated.

The new Smart Tachograph (ST) enhances driver safety by verifying sensor data, making it harder to manipulate speed and rest period compliance compared to the older Digital Tachograph (DT). This improves road safety by detecting potential driver misconduct.

Keywords:
GNSSGlobal Navigation Satellite SystemSTSmart Tachographmotion conflictodometer

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Area of Science:

  • Transportation Engineering
  • Cybersecurity in Transportation
  • Automotive Systems

Background:

  • Driver fatigue and misconduct increase accident risks in the transportation sector.
  • Digital Tachographs (DT) monitor driver behavior, but can be manipulated.
  • The Smart Tachograph (ST) is an updated system designed to improve monitoring and prevent fraud.

Purpose of the Study:

  • To experimentally evaluate the speed verification procedure of the Smart Tachograph (ST) regulation.
  • To assess the ST's effectiveness in detecting motion conflicts between Global Navigation Satellite System (GNSS) and odometry data.
  • To analyze the impact of real-world conditions on the ST's sensor data consistency checks.

Main Methods:

  • Collected several hours of sensor data (GNSS, odometry, OBD) from three vehicles in urban and highway environments.
  • Implemented the ST regulation's prescribed tests, focusing on synchronization aspects.
  • Analyzed data for resilience against gaps, latencies, and data manipulation techniques like scaling.

Main Results:

  • The ST's speed verification metrics are resilient to data gaps and latencies between GNSS and odometry.
  • Simple data manipulations like scaling are ineffective against the ST's detection mechanisms.
  • The ST requires simultaneous and coherent falsification of data from multiple sensors, increasing fraud difficulty.

Conclusions:

  • The Smart Tachograph (ST) significantly enhances the security and reliability of driver behavior monitoring.
  • The ST's robust verification procedures make it more difficult for attackers to falsify data compared to the Digital Tachograph (DT).
  • The system effectively contributes to reducing safety risks associated with driver fatigue and misconduct in transportation.