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Special Issue "Multi-Sensor Positioning for Navigation in Smart Cities"

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Navigation and Positioning".

Deadline for manuscript submissions: 30 November 2022 | Viewed by 73

Special Issue Editors

Dr. Estefania Munoz Diaz
E-Mail Website
Guest Editor
Institute of Communications and Navigation, German Aerospace Center (DLR), 82234 Wessling, Germany
Interests: multimodal transportation; smart cities; modelling of passenger flows; smartphone-based navigation algorithms
Dr. Francisco Zampella
E-Mail Website
Guest Editor
Huawei Technologies Research and Development (UK) Limited, Edinburgh EH3 8BL , UK
Interests: indoor positioning; crowdsourcing; smartphone positioning; pedestrian dead reckoning; Wi-Fi positioning; sensor fusion
Dr. Elizabeth Colin
E-Mail Website
Guest Editor
EFREI Research Lab, 94800 Villejuif, France
Interests: RFID localization systems; indoor sub-metric localization; context-aware localization; localization in sports

Special Issue Information

Dear Colleagues,

The mobility of people and goods plays an important role in the life, work, prosperity, and cohesion of the citizens of smart cities. The biggest part of this transportation is carried out using motorized vehicles that make a large contribution (82 %) to greenhouse gas emissions. Additionally, the continuing growth in the demand for transport and changes in mobility behaviour lead to increasing conflicts over the use of limited space, where pedestrians, cyclists, and motorized vehicles compete for the use of the roads.

New user-centred mobility concepts that complement existing public transport, with the use of e- scooters, bicycles, and walking, are the key to solving these issues in smart cities. These concepts require robust individual positioning to provide advanced, seamless navigation across all transport modes, enabling a frictionless coexistence of active and motorized transport modes, and fostering sustainable mobility options.

Navigation in urban spaces, such as train stations or airports, is of key importance in understanding the needs, preferences, behaviours, and activities of users and crowds in each area. To achieve seamless navigation, the successful detection of different urban scenarios is needed, e.g., indoor/outdoor detection, to adapt the sensors and algorithms depending on the scenario.

Artificial intelligence (AI) can provide a significant boost for understanding mobility and behavioural patterns, as well as for the protection of e-scooters, cyclists, and pedestrians in urban environments. For the application of AI in safety-critical applications, new methods of validation and training are required. Access to city-wide information provides a significant amount of data, but it introduces new challenges for data handling and mining that need to be addressed. The analysis of big data and the methods for data-driven research should be used to gain high-quality data, dedicated to the training of AI for transport applications.

Dr. Estefania Munoz Diaz
Dr. Francisco Zampella
Dr. Elizabeth Colin
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 special issue 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 2400 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.

Keywords

  • crowdsourcing
  • bicycle
  • pedestrian
  • machine learning
  • wearables
  • awareness and context detection
  • big data
  • data mining
  • mapping

Published Papers

This special issue is now open for submission.
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