Research

From methods and data to real-world transportation applications.

I develop computational methods, data resources, and applied analytics to recover, represent, and understand human mobility from incomplete observations. This page presents my research studies, software and datasets, and industry/agency projects.

01

Research Studies

Methodological and empirical research on mobility reconstruction, representation, and applications.

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Sup-HMM framework

Sup-HMM

Journal Paper

Bayesian-optimized map matching for sparse and noisy trajectories.

  • Reliable trajectory reconstruction from incomplete observations
  • Bayesian optimization and supplementary transition mechanism
  • Robust to data sparsity and noise
IEEE T-ITS (2026)
Animated PM-Tree construction

PM-Tree

Under Review

Priority-guided hierarchical trajectory representation.

  • Hierarchical and adaptive representation of trajectories
  • Preserving structural mobility information with few observations
  • Only ~3% of points recover over 96% of structure
IEEE T-ITS (Under Review)
HSMM-T cross-network mobility translation

HSMM-T

Under Review

Cross-network mobility translation for planning applications.

  • Translating observed trajectories to planning networks
  • Preserving movement patterns across network systems
  • Supporting network-based analysis
Transportation (Under Review)
Transit Mirage preview

Transit Mirage

Under Revision

Rethinking transit demand-supply imbalance using observed mobility.

  • Empirical analysis of transit accessibility
  • Identifying apparent vs. real transit deserts
  • Implications for equity and planning
TR Part A (Under Revision)
02

Research Software & Data

Computational tools and datasets for mobility analysis.

NovaMatch

Research Software

Trajectory intelligence ecosystem.

A unified framework for trajectory processing, map matching, cross-network translation, trajectory representation, and mobility analytics.

  • ObserveSparse, noisy GPS trajectories
  • RecoverNetwork-constrained paths on OSM or custom networks
  • TranslateRoad trajectories to planning networks
  • ScalableBuilt for large mobility datasets
Complete Trip dataset preview

Complete Trip

DatasetPreprint

A linked multimodal human mobility dataset.

Reconstructing complete journeys from passively collected LBS observations across the Salt Lake City region. Supports mobility research, activity analysis, and transportation planning.

  • 28.7M+Complete trips
  • 282K+Unique devices
  • 6 Utah CountiesSalt Lake City region
  • 4 Travel ModesCar · Walk/Bike · Bus · Rail
  • Full Year 2020Controlled access via DUA
03

Sponsored & Collaborative Projects

Contributions to transportation research projects supported by federal, state, and regional agencies, and industry partners.

2026 – Present

Regional Land Use Modeling and Future-Year Scenario Development

  • Model development and project coordination
  • Model adaptation, calibration, and validation
  • Future-year scenario development
  • Technical deliverables and model transfer

Collaborating Organizations: DVRPC & Univ. of Memphis

2026 – Present

From Data to Design: Enhancing Pedestrian Infrastructure for Well-Being

  • GPS trajectory processing and spatial analysis
  • Integrating mobility, built environment, and experience data
  • Studying the relationship between pedestrian infrastructure and well-being

Collaborator: Human Centered Cities Lab (PI: Arash Tavakoli)

2026 – Present

Enhanced Vehicle Inspection Station Research

  • Statewide spatial and data-driven analysis
  • Service demand, geographic coverage, and oversight
  • Service-saturation and audit-priority metrics
  • Decision support for PennDOT

Agency: PennDOT

2025 – 2026

Utilizing Big Data to Verify and Enhance Route Choice Models in Travel Demand Modeling

  • Methodological development and large-scale analysis
  • Cross-network translation of connected-vehicle data
  • Empirical evaluation of route-choice and network representation

Outputs: HSMM-T (Under Review) · Zone Connectors (TR Part A, Under Review)

2023 – 2025

Complete Trip Data Analysis, Acquisition and Multimodal Measure Testing

  • Trajectory reconstruction and network representation
  • Large-scale multimodal data processing and validation
  • Map-matching and complete trip inference

Output: Complete Trip (Preprint)

Hobby Airport2024 – 2025

William P. Hobby Airport Landside Traffic Analysis

William P. Hobby Airport landside traffic simulation
  • VISSIM microsimulation modeling and calibration
  • Network coding, demand and routing development
  • Operational analysis of access, circulation, and curbside facilities
  • Congestion, queueing, travel time, and scenario evaluation
04

Other Research

Earlier work in computer vision and transportation engineering.

Animated lane detection results on driving video

Lane Detection

Journal Paper

Self pre-training with masked sequential autoencoders and customized PolyLoss.

  • Robust lane detection in challenging driving scenes
  • Masked sequential self pre-training on continuous frames
  • Software copyright VLD_SP-MSAE (2024)
IEEE T-ITS (2023)