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Call For Papers | CFP

Call for Papers

The widespread deployment and the societal acceptance of smart mobility technologies will depend not only on the maturity of the technology but also on the proper city planning to accommodate these evolving technologies and the availability of a well-developed governance framework. This means that smart mobility depends on a triad of complementary factors, namely, technology, city planning and governance. The three components of this smart mobility triad are not separate components as they impact each other. IEEE SM’ 26 will be organized into three tracks representing smart mobility triad, with the list of technical areas in each track given below. Authors shall choose a primary and an alternative area when submitting their papers. Other research areas that fall within the three tracks are also welcomed. All paper submissions are managed through the EDAS system. Accepted papers will be published in the official conference proceedings and indexed in IEEE Xplore. The IEEE Smart Mobility Conference 2026 (IEEESM ’26) maintains a rigorous peer-review process, with an acceptance rate typically ranging between 50% and 60%.
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Download CFP in PDF

Best Paper Awards

The 2026 IEEE International Conference on Smart Mobility (SM) also features the Best Paper Awards. These awards recognize the best paper in each of the three tracks of the conference (Smart Mobility Technology Best Paper, City Planning Best Paper and Smart Mobility Governance Best Paper). 
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Conference Tracks

For the conference tracks, the topics of interest include, but are not limited to:

Track 1: Smart Mobility Technologies
  • Al and ML for mobility prediction, planning, and control
  • Agentic Al and autonomous decision-making for mobilitysystems
  • Software-defined vehicles and edge intelligence
  • Real time observability
  • Vehicle-to-Everything (V2X), 5G/6G, and real-time connectivity
  • Electric and autonomous vehicle platforms and integration
  • Digital twins for transportation infrastructure and operations
  • Sensor fusion and perception systems for connected mobility Intelligent logistics and last-mile delivery automation
  • Mobility-as-a-Service (MaaS) architecture and orchestration
  • Vehicle-as-a-Service (VaaS)
  • Seamless Integrated Mobility Systems
  • Driving behaviors and human factors
  • Human-Al interaction and in-vehicle intelligence
  • Geospatial analytics and real-time routing optimization
  • Sustainable energy systems for e-mobility
Track 2: City Planning for Smart Mobility
  • Urban design for multi-modal and shared mobility integration
  • Data-driven city planning and simulation tools
  • Digital infrastructure for resilient and scalable transport systems
  • Micro-mobility planning and active transportation infrastructure
  • Accessibility and equity in smart mobility networks
  • Land use planning and transit-oriented development (TOD)
  • Public transport reconfiguration in the era of Al and automation
  • Smart parking, curb management, and street space optimization
  • Dynamic demand modeling and congestion management
  • Urban freight and sustainable logistics in dense environments
  • Climate-adaptive transport infrastructure
Track 3: Smart Mobility Governance
  • Open Data Policies
  • Al governance and regulatory frameworks in transportation
  • Policy strategies for decarbonization and net-zero mobility
  • Mobility data sharing, privacy, and cybersecurity
  • Risk, liability, and insurance for autonomous systems
  • Standardization and interoperability of digital mobility platforms
  • Funding models and public-private partnerships
  • Autonomous driving legislative frameworks
  • Aviation regulations for urban air mobility
  • Maritime laws and regulations for autonomous ships
  • Legislations to support cross-border mobility
  • Smart mobility policy in the Global South and emerging economies
  • Ethical frameworks for automated decision-making in transport
  • Impact of mobility innovation on employment and labor transitions
  • Stakeholder and community engagement in mobility planning
  • Legal frameworks for drone delivery, aerial mobility, and autonomous vehicles
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Conference Chairs

General Co-Chairs

Khalid Elgazzar
Canada Research Chair in the Internet of Things (IoT) | Associate Professor, Faculty of Engineering and Applied Science, Ontario Tech University, Canada

Alaa Khamis
Director of AI for Smart Mobility Lab at KFUPM, Dhahran, KSA

Program Co-Chairs

Tamer Abdellatif
Assistant Professor, School of Engineering, Applied Science and Technology, Canadian University Dubai, UAE

Yan-Fu Li
Director, Institute for Quality & Reliability, Tsinghua University Professor, Department of Industrial Engineering, Tsinghua University

Publication Chair

Samy El Tawab
Professor, Department of Computer Science, James Madison University, USA

Important Dates

15

Dec, 2025

Paper Submission Deadline

16

Feb, 2026

Notification of Acceptance

2

Mar, 2026

Camera-ready paper submission

1-3

Apr, 2026

Conference Dates

Paper Submissions Guidelines

Paper Preparation

The technical tracks shall accept regular papers of 6 pages maximum (2 additional pages allowed but at an extra charge in the final submission), 10pt font double column in IEEE format.

Authors must present novel perspectives within the general scope of the conference.

Paper Submission

The IEEE SM’ 2026 uses EDAS for submission. Authors need to:

Create an account (if not already registered) with EDAS at https://edas.info/N34187

Final Paper Submissions Guidelines

Final Submission Instructions

In order to submit the final version of your regular paper or poster, please follow the following steps:

  1. Assure that your article complies with the IEEE style template.
  2. Log in to the IEEE PDF eXpress Plus site.
  3. First-time users should do the following:
    • Select the New Users – Click Here link.
    • Enter the following:
      • 63044X for the Conference ID
      • your email address
      • a password
    • Continue to enter information as prompted.
    • An Online confirmation will be displayed and an email confirmation will be sent verifying your account setup.
    • Previous users of PDF eXpress or IEEE PDF eXpress Plus need to follow the above steps, but should enter the same password that was used for previous conferences. Verify that your contact information is valid.
  4. After submitting your paper in IEEE PDF Express, make sure the status of your paper is Approved

We will be looking forward to receiving your submissions,
Kindly promote the IEEE SM’ 2026 to interested individuals and communities in your vicinity.

Panel Title: Engineering and Societal Adoption Challenges of Automated Driving Systems
IEEE International Conference on Smart Mobility (IEEESM)
IEEESM'23 Registration
Across the globe, there are tens of companies pursuing the development of automated driving systems (ADS), ranging over SAE Driving Automation Levels 3-5. There are several open engineering challenges of ADS software – particularly in development and validation of ADS operation in challenging weather conditions, critical corner cases, dealing with a variety of pedestrians and traffic conditions, and cooperation with human operated vehicles. Many standards (e.g., ISO 26262, ISO 21448) are emerging providing guidelines to ensure safety of ADS under the intended operating conditions. On the other hand, there are societal concerns that technological advancements such as ADS and robotics might bring in, e.g., people being out of work, competing with automation etc.. Initiatives like Partners for Automated Vehicle Education (PAVE) aim to alleviate such concerns by educating public and policymakers on pros and cons of automated driving systems. This panel discussion will focus on ADS engineering and societal adoption challenges and offer some possible solutions.
Ramesh S Senior Technical Fellow, General Motors, USA
Panel Moderator
Arun Adiththan Senior Researcher, General Motors, USA
Panel Moderator
Panel Description
Overlay Image
Panel Title: Engineering and Societal Adoption Challenges of Automated Driving Systems
IEEE International Conference on Smart Mobility (IEEESM)
IEEESM'23 Registration
Across the globe, there are tens of companies pursuing the development of automated driving systems (ADS), ranging over SAE Driving Automation Levels 3-5. There are several open engineering challenges of ADS software – particularly in development and validation of ADS operation in challenging weather conditions, critical corner cases, dealing with a variety of pedestrians and traffic conditions, and cooperation with human operated vehicles. Many standards (e.g., ISO 26262, ISO 21448) are emerging providing guidelines to ensure safety of ADS under the intended operating conditions. On the other hand, there are societal concerns that technological advancements such as ADS and robotics might bring in, e.g., people being out of work, competing with automation etc.. Initiatives like Partners for Automated Vehicle Education (PAVE) aim to alleviate such concerns by educating public and policymakers on pros and cons of automated driving systems. This panel discussion will focus on ADS engineering and societal adoption challenges and offer some possible solutions.
Ramesh S Senior Technical Fellow, General Motors, USA
Arun Adiththan Senior Researcher, General Motors, USA
Panel Moderator
Panel Description
Panel Moderator
Overlay Image