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Topical Advisory Panel Members’ Collection Series: Sensors Technologies for Intelligent Transportation Systems

A topical collection in Sensors (ISSN 1424-8220). This collection belongs to the section "Vehicular Sensing".

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Editors

Institute of Automation Chinese Academy of Sciences, Beijing 100190, China
Interests: social computing; intelligent transportation systems; human behavior dynamics; intelligent vehicles; block-chain

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Guest Editor
College of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China
Interests: connected and automated traffic flow; transportation systems for road and air traffics
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Faculty of Transport, Warsaw University of Technology, ul. Koszykowa 75, 00-662 Warsaw, Poland
Interests: air traffic surveillance; satellite systems; telecommunication; road traffic management; ITS
Special Issues, Collections and Topics in MDPI journals

Topical Collection Information

Dear Colleagues,

We are pleased to announce that the Topical Advisory Panel Members (TAPMs) of the Vehicular Sensing section are now compiling a collection of works that will bring together the latest scientific achievements in advanced sensing technologies in Intelligent Transportation Systems (ITSs). The technologies of Intelligent Transportation Systems and Intelligent Connected Vehicles can be applied to communications, computers, sensors, automatic control theory, and artificial intelligence, including the Internet of Vehicles and the Cooperative Vehicle Infrastructure System, smart cars, intelligent transportation, and mobile technology.

The purpose of this Special Issue is to publish a set of the best insightful and influential original articles or reviews discussing key topics in this field. We expect these papers to be widely read and highly influential within the field.

We would also like to take this opportunity to call on more scholars to join the collection on Vehicular Sensing so that we can further develop this exciting field of research. Potential topics include, but are not limited to, the following:

  • Intelligent and connected vehicles, connected and automated vehicles;
  • Internet of vehicles;
  • Autonomous and connected vehicles;
  • Smart grid and V2G;
  • Cooperative vehicle infrastructure system;
  • Traffic control and management;
  • Navigation and localization;
  • Big data and AI applications in ITSs;
  • Traffic control and traffic load management;
  • LiDAR and 3D sensors technologies, Bird’s-eye view perception;
  • Air, road, rail, and waterway transportation networks and systems;
  • Urban air mobility, and highly automated aircraft;
  • Advanced driver assistance systems (ADASs);
  • Interconnected vehicles and transportation systems;
  • Transportation networks and systems;
  • Autonomous and semi-autonomous intersection, and autonomous traffic signal control;
  • Sensors, detectors, and actuators;
  • Advanced connectivity and communication, 5G, 6G, and cooperative perception, edge computing;
  • Smart mobility and sustainable transport services;
  • Sensors fusion;
  • Computer vision;
  • Connected vehicles on urban roads;
  • Vehicle localization system.

Dr. Xiao Wang
Dr. Jiangchen Li
Dr. Karolina Krzykowska-Piotrowska
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the collection website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Published Papers (1 paper)

2024

9 pages, 4083 KiB  
Communication
A Study of Outliers in GNSS Clock Products
by Kamil Maciuk, Inese Varna and Karolina Krzykowska-Piotrowska
Sensors 2024, 24(3), 799; https://doi.org/10.3390/s24030799 - 25 Jan 2024
Viewed by 559
Abstract
Time is an extremely important element in the field of GNSS positioning. In precise positioning with a single-centimetre accuracy, satellite clock corrections are used. In this article, the longest available data set of satellite clock corrections of four GNSS systems from 2014 to [...] Read more.
Time is an extremely important element in the field of GNSS positioning. In precise positioning with a single-centimetre accuracy, satellite clock corrections are used. In this article, the longest available data set of satellite clock corrections of four GNSS systems from 2014 to 2021 was analysed. This study covers the determination of the quality (outliers number and magnitude), availability, stability, and determination of the specificity and nature of the clock correction for each satellite system. One problem with the two newest satellite systems (Galileo and BeiDou) is the lack of availability of satellite signals in the early years of the analysis. These data were available only in the later years of the period covered by the analysis, as most of the satellites have only been in orbit since 2018–2019. Interestingly, the percentage of outlying observations was highest in Galileo and lowest in BeiDou. Phase and frequency plots showed a significant number of outlying observations. On the other hand, after eliminating outlying observations, each system showed a characteristic graph waveform. The most consistent and stable satellite clock corrections are provided by the GPS and GLONASS systems. The main problems discussed in this paper are the determination of the number and magnitude of outliers in clock products of four GNSS systems (GPS, GLONASS, Galileo, Beidou) and the study on the long-term stability of GNSS clocks analysis, which covers the years 2014–2021. Full article
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