Improving the Safety of Slow-Moving Autonomous Vehicles When Transporting Dangerous Goods Using GNSS-Based Control Systems

This article discusses the safety issues of autonomous vehicles using GNSS when transporting particularly dangerous goods, such as flammable and explosive materials. A method for the special processing of GNSS navigation information is presented, which consists of collecting readings of the relative navigation positions of the vehicle. The novelty of the method lies in the substantiation of the refusal to use a standard speedometer and the study of the minimum permissible vehicle speed, measured exclusively on the basis of the results of processing GNSS data. To confirm the assumptions inherent in the described method, a physical experiment was carried out, the results of which showed that the accuracy of the speedometers of standard vehicles is insufficient to ensure sufficient safety if the required driving speed should not exceed several km/h. The methodological basis for conducting a physical experiment is to measure the sequence of calculations of the coordinates {Xi, Yi}(t), i = 1, 2, … of the vehicle, continuously calculate the vehicle speed in km/h, and use a speed limiting device set to a certain permissible technical state for the transportation of especially dangerous goods.

Authors

Institutions

Publication Details

Journal
Electronics
Published
2025-04-18
DOI
https://doi.org/10.3390/electronics14081643
Primary Topic
Autonomous Vehicle Technology and Safety
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Improving the Safety of Slow-Moving Autonomous Vehicles When Transporting Dangerous Goods Using GNSS-Based Control Systems

Łukasz Lemieszewski
Electronics
Autonomous Vehicle Technology and Safety
article

Improving the Safety of Slow-Moving Autonomous Vehicles When Transporting Dangerous Goods Using GNSS-Based Control Systems

Łukasz Lemieszewski
article en

Abstract

This article discusses the safety issues of autonomous vehicles using GNSS when transporting particularly dangerous goods, such as flammable and explosive materials. A method for the special processing of GNSS navigation information is presented, which consists of collecting readings of the relative navigation positions of the vehicle. The novelty of the method lies in the substantiation of the refusal to use a standard speedometer and the study of the minimum permissible vehicle speed, measured exclusively on the basis of the results of processing GNSS data. To confirm the assumptions inherent in the described method, a physical experiment was carried out, the results of which showed that the accuracy of the speedometers of standard vehicles is insufficient to ensure sufficient safety if the required driving speed should not exceed several km/h. The methodological basis for conducting a physical experiment is to measure the sequence of calculations of the coordinates {Xi, Yi}(t), i = 1, 2, … of the vehicle, continuously calculate the vehicle speed in km/h, and use a speed limiting device set to a certain permissible technical state for the transportation of especially dangerous goods.

ElectronicsVol. 14(8)
The Jacob of Paradies University (PL)
Openalex Percentile: Top 93%
Autonomous Vehicle Technology and Safety
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.