CA-ICA Traffic Optimization is a smart transportation research project that applies Cultural Algorithm (CA) and Imperialist Competitive Algorithm (ICA) to optimize urban traffic systems, public transportation networks, and bus allocation through AI-driven simulation models.

TerminalSim is a high-performance C++ simulation server for basic modeling, optimizing, and analyzing container terminal operations and multimodal transport networks.

A Data-Driven Framework for Driving Cycle Generation and Analysis

CARE — Crash Analysis & Redaction Engine: privacy-safe extraction of crash diagrams and narratives from police crash report PDFs for open transportation research. Offline-first, plugin-based, fail-closed.

Mella Lira, B., Paez, A. (2021) Do drivers dream of walking? An investigation of travel mode dissonance from the perspective of affective values, Journal of Transport and Health, 20:101015

A Python-based intelligent transportation research framework for traffic simulation, signal-control benchmarking, and graph time-series forecasting.

WhatsApp-based odometer photo collection framework for VMT (vehicle miles traveled) research

Independent applied-research portfolio on Qatar's transportation infrastructure, innovation ecosystem, and policy landscape. Structured data, reproducible methodology, evidence-driven gap analysis. Supports decision-making by government agencies, research institutes, innovation programs, and consultancies.

Research-ready Caltrans PeMS downloader with uv, speed/flow/occupancy exports, detector GeoJSON, official SHN road geometry, maps, and GE-GAN profile.

FreTIS: Computer vision system analyzing freight traffic exposure and environmental justice in California's Inland Empire

Reproduction and review archive for the QVDFE manuscript