A recent report has made it clear how reluctant researchers are to share and document their data, often the results of years of work and substantial expenditures. Data sets frequently disappear unarchived, resulting in lost work and duplicated efforts due to lack of data access. Transportation has added a 'Data paper' category to fill one of the gaps in the process of publishing data sets.

The 'Data paper' category allows researchers to report on substantial or innovative data collection exercises. These papers provide colleagues with credit for this difficult work and support researchers in further reporting of their respective studies, as data questions have already been answered and do not need to be rehearsed repeatedly.

Data papers are reviewed research papers focusing on the data collection process and its content. The journal aims to enrich the field with deeper insights into the data collection process and with freely available data sources enabling further analysis and comparison across time and space.

Potential topics

• Reports on substantially innovative or large policy relevant data sets
• Discussion of contents and design, theory or modelling considerations behind data collection
• Discussion of pre-tests and resulting changes
• Description of response process fully (sample frame, response behaviour, protocol and changes, incentives, AAPOR response rates)
• Evidence on representativeness of the sample obtained
• Basic substantial results and comparison to relevant benchmark surveys
• Examples of survey forms or CATI scripts in supporting materials
• Explanation of data availability for third parties and open access considerations

Timeline

• Invalid DateTime: Submission deadline

Timeline

• July 31, 2027: Submission deadline

Timeline

• February 12, 2027: Submission deadline

This special issue focuses on the mathematical and computational foundations necessary for developing trustworthy artificial intelligence applications in transportation systems. As AI increasingly influences critical transportation decisions affecting safety, efficiency, and equity, there is an urgent need for rigorous mathematical frameworks that ensure these systems are reliable, interpretable, and accountable.

The special issue welcomes contributions that advance the theoretical understanding and practical implementation of trustworthy AI in transportation. This includes work on mathematical models that enhance transparency, ensure robustness against adversarial attacks, quantify uncertainties, and address fairness concerns in transportation algorithms and systems.

Submissions should demonstrate how mathematical and computational approaches contribute to building trustworthy AI systems that stakeholders can understand, verify, and depend upon for critical transportation applications.

Potential topics

• Mathematical frameworks for explainability and interpretability in transportation AI
• Formal verification and validation methods for autonomous vehicles
• Trustworthy machine learning algorithms for traffic prediction and management
• Robustness and adversarial resilience in transportation systems
• Uncertainty quantification in AI-based transportation applications
• Fairness and bias mitigation in transportation decision-making systems
• Privacy-preserving techniques in transportation data analytics
• Game-theoretic approaches to multi-agent transportation systems
• Causal inference methods for transportation research
• Probabilistic and Bayesian methods in transportation AI

Timeline

• December 1, 2026: Full paper submission deadline

Timeline

• December 31, 2026: Full paper submission deadline

Timeline

• October 30, 2026: Full paper submission deadline

Timeline

• August 30, 2026: Full paper submission deadline

Timeline

• November 30, 2026: Submission deadline

Timeline

• November 30, 2026: Submission deadline

This special issue focuses on the intersection of transportation systems and ecological processes. It addresses the complex relationships between human mobility, infrastructure development, and natural ecosystems, examining both the negative impacts of transportation on biodiversity and environmental quality, as well as solutions that balance transportation needs with ecological conservation.

Potential topics

• Ecological impacts of transportation systems
• Wildlife-vehicle interactions and habitat fragmentation
• Air and water pollution from transportation
• Noise pollution and ecosystem effects
• Climate change impacts of transportation
• Sustainable transportation and biodiversity conservation
• Urban ecology and transportation planning
• Green infrastructure for transportation corridors
• Restoration ecology in transportation contexts
• Transportation policy and environmental management

Timeline

• September 30, 2026: Full paper submission deadline

Timeline

• October 30, 2026: Full paper submission deadline

Timeline

• August 27, 2026: Full paper submission deadline

This special issue focuses on transportation systems and human mobility during disaster situations. It covers research on how transportation networks respond to and support human movement during emergencies, including evacuation planning, emergency vehicle routing, disaster logistics, and the resilience of transportation infrastructure.

Timeline

• August 31, 2026: Full paper submission deadline

Timeline

• August 30, 2026: Submission deadline

Timeline

• September 4, 2026: Submission deadline

This special issue seeks to advance our understanding of demand management policies and strategies that contribute to more affordable, accessible, and efficient transport systems.

Timeline

• July 30, 2026: Full paper submission deadline

This special issue seeks to advance our understanding of demand management policies and strategies that contribute to more affordable, accessible, and efficient transport systems.

Timeline

• July 30, 2026: Full paper submission deadline