Associate Editors
As Associate Editor you are asked to manage the review of 3-5 papers, and to collect at least 3 independent reviews for each paper.
The papers assigned to you are already available in the system, please proceed to check for potential conflicts of interest or papers that you do not feel comfortable handling at: https://its.papercept.net/conferences/scripts/start.pl and click enter in “Associate Editor for Contributed Papers”.
In order to ensure a fair review process in accordance with IEEE-ITSS standards, Associate Editors must verify that the following premises are met:
- Acting as an Associate Editor (AE) is a very important role for the IEEE-ITSS conferences, the scientific quality of congress depends on their engaged performance. That is why it is expected that they will be dedicated and professional in the performance of their duties.
- The reviews received must be properly documented and justified (with special relevance to those that are negative). If a review is received and is not properly justified, it is the task of the associated editor to ask the reviewer for clarification or to seek a new review.
- AEs should be familiar with the paper, and should not make a final decision without a documented judgment of the paper.
- AEs should remember the IEEE’s policy with respect to no unilateral decisions. This means that decisions made must be supported by at least two reviewers, including the AE.
- AEs, either when assigning reviewers, or with respect to their assigned papers, must ensure that there is no conflict of interest that would compromise the impartiality of the review.
Reviewers
Reviewer Duties
Once you get the reviewing assignment, please go through papers assigned and check:
- There is no conflict of interest
- The paper falls within your field of expertise
If either of these issues arise, please contact Associate Editor / Program Chair as soon as possible to solve them.
Please familiarize yourself with the different plagiarism and submission policies, and if you identify that the paper does not comply with any of these, communicate with the Program Chair, in the meantime proceed to the revision of the same, while the problem is being solved.
How to proceed with the review
Each accepted paper must be technically sound and make a contribution to the field. Contribution to the field includes novelty of approach or breaking concept as well as strong experimental results. However, a fresh new vision or approach can be a contribution even if it does not improve on state-of-the-art (SOTA) and less than SOTA performance should not be used for rejection on its own. Similarly, minor errors that are easily corrected are not reasons to reject an article.
Writing the review report
The reviewer has to identify the most relevant aspects of the article in a specific and detailed way by identifying the manuscript strengths and weaknesses. Although bullet points may be used, these must be explained in an appropriate manner, they must help the AE to make a final decision about the article. Remember that the AE will make the decision based mainly on your comments, rather than the assigned grade, so it must be properly argued. In addition, the review should provide sufficient feedback to authors to revise the paper for future submissions.
In reference to the review of the state-of-the-art, specific publications should be included rather than vague references such as “this is well known” or “it has been used before”.
Please see the note below for treatment of arXiv and supplementary works.
Ethical Considerations
Confidentiality
It is responsibility of the IV reviewers to respect and protect the confidentiality of the papers assigned. The papers submitted to IV are not published, thus the work is proprietary of the authors. As it is possible that it is not accepted, it can be further refined or submitted to another conference or journal. Furthermore, in some organizations and companies, it can still be considered confidential/proprietary. For all this the confidentiality of the papers under review means:
- It is not allowed to show the article (including results, videos, images, code or any other supplementary material) to anyone, unless they have been included in the review process (AE or reviewers).
- You should not use the ideas or code from the articles for your own benefit (articles, proposals, or code) until it has been published.
- Upon completion of the review, all copies and materials related to the article must be deleted, including any supplementary materials.
Conflict of Interest
It is vital for the conference that conflicts of interest are avoided, so it is important that there is no doubt about the impartiality of the reviewers. Although the organizers make an effort to avoid these cases, sometimes they can occur. If you have been assigned a paper with a potential conflict of interest, you should contact the assigning Associate Editor or Program Chair as soon as possible to resolve the issue. Conflicts of interest include (but are not limited to):
- You work at the same institution as one of the authors.
- If you’ve been involved in any way in the work presented, e.g. as thesis advisor, member of the committee, as an external advisor…
- You have collaborated with one of the authors in the recent years (3 to 5 years). The definition of collaboration is broad; it is left to the reviewer’s judgment to determine this degree.
- If you were thesis advisor or advisee of one of the authors. This type of relationship is generally associated with a lifelong conflict of interest. Again, it is left to the reviewer’s discretion to identify the degree of conflict.
- If it may be perceived by others as conflict of interest.
The Report
Derogatory comments are not welcome in peer reviews. It is important that the comments help in the decision-making process and that they allow authors to understand the shortcomings of their work for improvement it in the future. The good reviewer should write gentle, incisive and helpful comments that allow the AE to immediately identify the merits (advantages and disadvantages) of an article, rather than rely solely on the summary score given. Keep in mind that the reviews are read by colleagues (other reviewers and AEs), thus being a helpful reviewer will be benefit you in the research community.
Here there are some helpful tips for reviewers
- A good review should not be done in a hurry. It is recommended to take several days from the reading of the article and the completion of the report.
- Short reviews are not useful, neither for authors nor for AE, the acceptance of the review of an article entails sufficient dedication to write a properly substantiated review.
- Reviewers are requested to be specific; when they indicate that certain parts of an article require revision or are not clear enough, indications and suggestions on how to clarify them should be given.
- It is not recommended to give clues about your identity, indicating that articles of your own authorship should be cited
- Likewise, when referring to the novelties of an article, claims such as “this has been done before” or “it is well known” should be accompanied by references that justify this statement. Positive indications must also be accompanied by details.
- Articles should not be rejected for the simple reason that they do not contain citations or comparisons with un-reviewed published articles, such as arXiv.
- If you feel that the topic is unrelated to the congress, please explain it concisely in the review, and suggest alternative conferences or journals. In any case, it is advisable to keep an open mind in this regard, as articles that broaden the spectrum of action of the congress are welcome.
- Always be constructive in your reviews, using assertive and respectful language. Your colleagues will appreciate it and will accept criticism in a more positive way.
Papercept Instructions
Once you’ve been notified by email that papers have been assigned to you, please log into the Papercept site (https://its.papercept.net/conferences/scripts/start.pl), Log in, and choose the “Reviewer”, and follow the steps below.
1. Download your papers.
To download individual papers, you can click the links Download for the corresponding paper in the Reviewer’s Workspace. It will give you access to the download menu, where you can select to download the paper (“First submission”) or any other supplementary file to the paper that will be available in this menu.
2. Check for possible conflict or submission rule violations.
Contact the Program Chairs immediately if:
- You think you are conflicted with the paper.
- You think the paper violates submission rules regarding plagiarism. In the meantime, go ahead and review the paper as if there is no violation. The Program Chairs will follow up, but it may take a bit of time.
3. Review papers and assign rating.
For a paper, under the review column, click “Review” in the Reviewers Workspace to get to the review form. Proceed with the review and save it to continue in the future, or click submit once the form is ready.
About arXiv
Authors should cite all the sources that have inspired their work, although it is not reasonable to ask for a review, inclusion or comparison of the work presented with an article published in preprint format, that has not been subjected to peer review (such as arXiv) or that one that has only recently appeared/published before the submission deadline. Similarly, it is not advisable to discourage ideas that have been developed in parallel and independently to these publications. Reviewers are therefore recommended to follow the following guidelines.
- The reviewer should not require a paper to be compared to, or discuss another paper recently published in ArXiv or similar. However, it is acceptable to indicate to the author the existence of something published in these repositories, either because of its similar or for its interest in the subject.
- Authors should cite the work they have been inspired by, even if it appears in an arXiv-style repository.
- Not citing an article in arXiv or similar IS NOT a reason for rejection. Please indicate the reference to the authors.
- It is not a reason for rejection that there is an article with similar ideas in an arXiv-style repository. If there are doubts about plagiarism, the reviewer should contact the Program Chair to resolve this issue.
IEEE ITSC 2025 Keywords
Category | Keyword |
Advanced ITS Mobility Systems | Infrastructure Requirements for Connected and Automated Vehicles |
Integration of Autonomous Vehicles with Public and Private Transport Networks | |
Integration of Electric Vehicles into Smart City Mobility Networks | |
Traffic Management for Autonomous Multi-vehicle Operations | |
Transportation Optimization Techniques and Multi-modal Urban Mobility | |
Air, Road, and Rail Traffic Systems | Advanced Air Traffic Management Systems for Drone Integration |
Autonomous Rail Systems and Advanced Train Control Technologies | |
Integrated Traffic Management for Multi-modal Transport Networks | |
Low Altitude Urban Mobility and Logistics | |
Multimodal Transportation Networks for Efficient Urban Mobility | |
Real-time Coordination of Air, Road, and Rail Transport for Incident Management | |
Autonomous Vehicle Systems | Autonomous Vehicle Safety and Performance Testing |
Charging Infrastructure and Energy Management for Autonomous Electric Vehicles | |
Energy-efficient Motion Control for Autonomous Vehicles | |
Multi-vehicle Coordination for Autonomous Fleets in Urban Environments | |
Real-time Motion Planning and Control for Autonomous Vehicles in ITS Networks | |
Cooperative and Connected Vehicles | Cooperative Driving Systems and Vehicle Coordination in Multi-vehicle Scenarios |
Cooperative Vehicle-to-Vehicle Data Sharing for Safe and Efficient Traffic Flow | |
Privacy Protection in Cooperative Vehicle Communication Networks | |
Secure and Scalable V2X Communication Protocols for ITS | |
Vehicle-to-Infrastructure (V2I) and Vehicle-to-Vehicle (V2V) Communication Applications for Traffic Management | |
Cyber-Physical Systems and IoT | Cloud and Edge Computing Integration in ITS for Real-time Traffic Data Processing |
Cyber-Physical Systems for Real-time Traffic Monitoring and Control | |
IoT for ITS Infrastructure: Smart Traffic Lights, Sensors, and Actuators | |
Smart Roadway Networks with IoT-enabled Sensors and Real-time Data Analytics | |
Emerging ITS Technologies and Innovations | 5G and Beyond for Ultra-low Latency in Connected Vehicle Networks |
Autonomous Drone Integration for Real-time Traffic Monitoring and Control | |
Blockchain for Secure and Transparent ITS Data Management | |
Quantum Computing for Traffic Optimization and ITS Data Processing | |
Smart Traffic Control using AI and Augmented Reality for Navigation and Vehicle Control | |
Human Factors and Vehicle Interaction | Driver Behavior Monitoring and Feedback Systems for Semi-autonomous Vehicles |
Ethical Decision Making in Autonomous and Semi-autonomous Vehicles | |
Human-Machine Interaction Systems for Enhanced Driver Assistance and Safety | |
Trust, Acceptance, and Public Perception of Autonomous Transportation Technologies | |
User-Centric HMI Design for Autonomous Vehicle Control Systems | |
Infrastructure and ITS Technologies | Data-Driven ITS for Dynamic Road Pricing and Smart Tolling Solutions |
Digital Twin Modeling for ITS Infrastructure and Traffic Simulation | |
IoT-based Traffic Sensors and Real-time Data Processing Systems | |
Real-time Traffic Monitoring Systems Powered by IoT and Cloud Computing | |
Smart Roadway and Charging Infrastructure for Public Transport | |
Intelligent Waterborne Systems | Autonomous Vessel Navigation Systems |
Integrated Air and Sea Transport Systems for Cargo Optimization | |
IoT-based Intelligent Vessel Traffic Management | |
Real-time Monitoring and Control of Waterborne Transport Systems | |
Smart Port Systems for Traffic and Cargo Management | |
ITS Field Tests and Implementation | Evaluation of Autonomous Vehicle Performance in Mixed Traffic Environments |
Field Test Methodologies for ITS Integration in Smart Cities | |
Implementation of V2X Communication in Urban Traffic Systems | |
Large-scale Deployment of Intelligent Traffic Management Systems | |
Real-world ITS Pilot Projects and Field Tests | |
ITS Validation and Verification | Methods for Verifying Safety and Security of Autonomous Traffic Systems |
Model-based Validation of Traffic Flow Prediction Algorithms | |
Testing and Validation of ITS Data for Accuracy and Reliability | |
Validation of Cooperative Driving and Connected Vehicle Systems | |
Verification of Autonomous Vehicle Sensor Systems in Real-world Scenarios | |
Logistics and Intelligent Freight | Autonomous Freight Transport Systems and Fleet Management Solutions |
Dynamic Scheduling and Routing for Freight Transport in Urban Environments | |
Last-Mile Delivery Optimization with Autonomous Vehicles and Drones | |
Real-time Cargo Tracking and Intelligent Supply Chain Management | |
Smart Logistics with Real-time Traffic Data for Freight Routing and Optimization | |
Public Transport and Mobility Services | Autonomous Public Transport Systems and Mobility-as-a-Service (MaaS) |
Demand-Responsive Transit Systems for Smart Cities | |
Real-time Passenger Information and Service Optimization in Public Transportation | |
Shared and Electric Mobility Services in Public Transport Networks | |
Smart Ticketing, Fare Collection, and Payment Systems for Public Transit | |
Safety, Security, and Privacy | Cybersecurity in Autonomous and Connected Vehicle Systems |
Protection Strategies for Vulnerable Road Users (Pedestrians, Cyclists, etc.) | |
Real-time Incident Detection and Emergency Management Systems in ITS | |
Safety Verification and Validation Methods for Autonomous Vehicle Technologies | |
Secure V2X Communication Protocols for Safety and Privacy in ITS | |
Sensing, Perception, and Scene Understanding | Advanced Sensor Fusion for Robust Autonomous Vehicle Perception |
Deep Learning for Scene Understanding and Semantic Segmentation in Autonomous Vehicles | |
Lidar-based Mapping and Environmental Perception for ITS Applications | |
Real-time Object Detection and Tracking for Dynamic Traffic Environments | |
Sensor Integration and Calibration for Accurate Localization in Dynamic Road Conditions | |
Traffic Data Analytics and Machine Learning | AI, Machine Learning and Predictive Analytics for Traffic Incident Detection and Management |
AI, Machine Learning for Dynamic Traffic Signal Control and Optimization | |
AI, Machine Learning for Real-time Traffic Flow Prediction and Management | |
AI, Machine Learning Techniques for Traffic Demand Forecasting | |
Data Analytics and Real-time Decision Making for Autonomous Traffic Management |