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This study develops a comprehensive multi-dimensional exposure assessment framework — BREEZE (Bioclimatic Route Evaluation for Environmental haZard avoidancE) — for urban soft mobility routes that integrates environmental stressor modeling, dynamic population …

We evaluate this question on a citywide hexagonal grid of Cincinnati, Ohio (2016 cells, 60 features in 14 feature families) using multimodal masked reconstruction.

This paper introduces an integer programming model for transit system planning based on a many-to-many (M2M) matching framework.

This paper proposes a self-contained low-rank approach to automatically rank multiple candidate captions generated by multiple VLMs according to their deviation from the shared semantic structure, using only the captions themselves without requiring external r …

This paper develops an artificial intelligence and operations research (AI-OR) decision intelligence framework that integrates large language model (LLM)-driven reward shaping with RL-based sequential decision-making.

This paper introduces an automatic and scalable feature-extraction pipeline that combines full-text extraction and human agreement analysis in order to measure code and data availability in transportation research.