in Transportation



The transportation projects that MTRI researchers are currently involved in use a combination of advanced remote sensing and GIS techniques, innovative platforms, and in situ field data to solve pressing transportation issues. These projects are focused on assessment of transportation infrastructure condition (for bridges, roads, confined spaces, etc.), understanding border crossing delays, evaluating wetland mitigation sites, updating inventories of road furniture, measuring bridge scour, and assessing slope stability. The types of remote sensing data that are used include high-resolution optical imagery, traditional aerial data, LiDAR, and RADAR, along with commercial satellite imagery (WorldView-2, GeoEye, etc.) and government satellite imagery such as PALSAR and Landsat.

3D Bridge App - The Wireless Data Collection Retrieval of Bridge Inspection Management Information

Animal Avoidance - Signature Study for Vehicle-Animal Collision Avoidance (VACA)

Assessing Bridge Condition - Using Remote Sensing Technologies

Automated Scour Detection - Arrays using Bio-Inspired Magnetostrictive Flow Sensors

Benchmarking Sensors for Vehicle Computer Vision Systems

Characterization of Automotive Radar Reflectivity for W-Band Systems

CRESTA: Consortium on Remote Sensing of Freight Flows in Congested Border Crossings and Work Zones

Characterization of Unpaved Road Conditions - Through the Use of Remote Sensing

Ground-Truth Data Collection for Autonomous Vehicle Development

MDOT Scour Workshop - MDOT Bridge Scour Technology Transfer

Mineral Occurrence Revenue Estimation and Visualization (MOREV) Tool

Remote Sensing in Transportation Streamlining Environmental and Planning Processes

Remote Sensing Freight Flows at the Borders

Transportation Applications of Restricted Use Technology (TARUT)

Vehicle Infrastructure Integration (VII)

Evaluating the Use of Unmanned Aerial Vehicles - for Transportation Purposes

Sustainable Geotechnical Asset Management - Along the Transportation Infrastructure Environment Using Remote Sensing

Using Multi-temporal Imagery to Improve Mapping and Inventory - Of Forested Roads in Michigan's Upper Peninsula