Call for papers

Important Dates

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Scope

As society develops, the relevance of Intelligent Transport Systems (ITS) become more and more visible. ITS can make
transport safer, more efficient, and more sustainable by applying information and communication technologies to all
transportation modes. Moreover, the integration of existing technologies can create new services.
The full potential of ITS will be more visible if deployed worldwide. To achieve this goal, research poses as a major player
in developing and deploying key ITS technologies, and contributing to standardization, interoperability between transport
modes and countries, cross-border continuity of services, among other uses.


To achieve its full potential, ITS still needs to overcome barriers, some of which of technological nature. Deployment costs,
funding restrictions that prevent investment facilitation, investments, privacy and liability concerns, uncertain demand,
and lack of legislation are just some of the constraints limiting the rolling-out of ITS implementation in several situations.
Limited communication or too ‘technical’ communication on the benefits of new technologies to those who make
decisions about whether to invest in new technology development (policymakers), can also be an obstacle for faster
deployment of ITS. Policymakers need a clear description of the benefits of new technologies including cost-benefit
analyses that would enable them to compare traditional solutions with the new ones.


Lack of or limited cooperation between research and industrial sectors is another aspect that is slowing down the uptake
of research results by the market. It is not often that research results are likely to be developed in the short- or even
medium-term, but this is not always understood by the industry that wants to obtain quick results from their investments
in ITS. A space for interaction and joint reflection about ITS between researchers, policymakers, and the industry is
paramount to promote ITS solutions and pursue its benefits.

  1. Advanced Public Transportation Management
  2. AI and deep learning in ITS
  3. Air, Road, and Rail Traffic Management
  4. Approaches to sustainable transportation
  5. Autonomous Driving; Connected Car
  6. Behavioral modeling in ITS
  7. Big data in ITS and Data-Driven Innovation
  8. BlockChain and Big Data-enabled Intelligent Vehicular Communication
  9. City Logistics and last mile
  10. Cloud computing, Fog computing
  11. Commercial Vehicle Operations
  12. Computer Vision for ITS
  13. Connected and automated vehicles
  14. Cooperative driving technologies
  15. Cooperative ITS and Autonomous driving
  16. Cyber-physical-social systems for ITS
  17. Data Science for Cooperative ITS
  18. Disruptive technologies for ITS
  19. Driver and Traveler Support Systems
  20. Edge Intelligence for Internet of Vehicles
  21. Electric Vehicles
  22. Electronic Payment Systems
  23. Emergency Management
  24. Emissions, Noise, Environment
  25. Human Factors, Travel Behavior
  26. Intelligent Logistics
  27. Intelligent urban construction for smart mobility
  28. Intelligent Vehicles
  29. Intermodal Freight
  30. Intent-based Networking for 5G-Envisioned Internet of Connected Vehicles
  31. ITS Field Tests and Implementation
  32. ITS for Last Mile Logistics
  33. ITS for Smart Cities
  34. ITS in Epidemic Areas
  35. ITS user services
  36. Management of Exceptional Events: Incidents and Evacuation
  37. Modelling, Control and Simulation
  38. New trends in ITS
  39. Pandemic impact in ITS and deliver process
  40. Parallel learning and parallel systems
  41. Ports, waterways, and vessel traffic management
  42. Probe Information Systems
  43. Public policy, and regulatory and societal issues in ITS
  44. Public Transit Planning and Operation in the Era of Automation, Electrification, and Personalization
  45. Safe and secure ITS
  46. Security, privacy and safety systems
  47. Sensing, Detectors and Actuators
  48. Sensors, detectors and actuators in ITS
  49. Shared and smart mobility
  50. Traffic management and intelligent infrastructure (road, freight, public transport)
  51. Traffic modelling and simulation
  52. Traffic Theory for ITS
  53. Transportation Networks
  54. Travel and traffic information
  55. V2X communications in ITS
  56. Vehicle Localization
  57. Vision, and Environment Perception

Publication

All registered papers will be submitted for publishing by Springer – LNICST series and made available through SpringerLink Digital Library: INTSYS Conference Proceedings.

Proceedings will be submitted for inclusion in leading indexing services, such as Web of Science, Compendex, Scopus, DBLP, EU Digital Library, Google Scholar, IO-Port, MathSciNet, Inspec, and Zentralblatt MATH.

Available journals

Authors of selected best accepted and presented papers will be invited to submit an extended version to:
Mobile Networks and Applications (MONET) Journal [IF: 3.8 (2022)]

All accepted authors are eligible to submit an extended version in a fast track of:
EAI Endorsed Transactions on Industrial Networks and Intelligent Systems (Scopus, Compendex)

Additional publication opportunities:
EAI Transactions series (Open Access)
EAI/Springer Innovations in Communications and Computing Book Series
(titles in this series are indexed in Ei Compendex, Web of Science & Scopus)

Paper Submission

Papers should be submitted through EAI ‘Confy+‘ system, and have to comply with the Springer format (see Author’s kit section below).

– Regular papers should be up to 12-15+ pages in length.
– Short papers should be 6-11 pages in length.

All conference papers undergo a thorough peer review process prior to the final decision and publication. This process is facilitated by experts in the Technical Program Committee during a dedicated conference period. Standard peer review is enhanced by EAI Community Review which allows EAI members to bid to review specific papers. All review assignments are ultimately decided by the responsible Technical Program Committee Members while the Technical Program Committee Chair is responsible for the final acceptance selection. You can learn more about Community Review here.

Paper submission

Papers should be submitted through EAI ‘Confy+‘ system, and have to comply with the Springer format (see Author’s kit section below).

How do I submit a paper in Confy?

  1. Go to Confy+ website
  2. Login or sign up as new user
  3. Select your desired Track
  4. Click the ‘Submit Paper’ link within the track and follow the instructions

Alternatively, go to home page of Confy+ and click on “Open conferences”.

Submission guidelines

– Papers should be in English.
– Single-Blind Review.
– Previously published work may not be submitted, nor may the work be concurrently submitted to any other conference or journal.
   Such papers will be rejected without review.
– The paper submissions must follow the Springer formatting guidelines (see Author’s kit section below).
– Authors are required to adhere to the Publication Ethics and Malpractice Statement.

Papers must be formatted using the Springer LNICST Authors’ Kit.

Instructions and templates are available from Springer’s LNICST homepage:
– LaTeX2e Proceedings Templates (zip)
– Microsoft Word Proceedings Templates (zip)

Please make sure that your paper adheres to the format as specified in the instructions and templates.

When uploading the camera-ready copy of your paper, please be sure to upload both:
– a PDF copy of your paper formatted according to the above templates, and
– an archive file (e.g. zip, tar.gz) containing the both a PDF copy of your paper and LaTeX or Word source material prepared according to the above guidelines.