Leveraging Probe Data for Freight Modeling
Date and Time: Wednesday, September 20: 3:00 PM - 4:15 PM
Location: Keck 101
Md Rauful Islam
Maks Inc.
Social Media: linkedin.com/in/md-rauful-islam
Biography
Md Rauful Islam is a senior-level research engineer, transportation analyst, and data scientist with over 11 years of experience in traffic demand modeling, microscopic traffic simulation, big data analytics, transportation data asset management, freight and economic analysis, spatial analytics, algorithm design, and research methodology development. He has led tasks for developing a methodology for developing large-scale vehicle trajectory population data in traffic operations analysis. He is currently working on national-level traffic and freight demand modeling. His project tasks included developing a methodological framework for assigning the NextGen passenger O-D data developed under the National Household Travel Survey program to a national-level routing network. He is also a team member in developing a Multimodal Freight Analysis framework to leverage the multimodal freight movement data reported in the FAF database to estimate multimodal system performance and deficiency. He also provided technical support for conducting FAF 3 development and sensitivity analysis. He has managed and updated national-level road networks, including FAF 3, National Highway System (NHS), National Highway Planning Network (NHPN), and Primary Highway Freight System (PHFS). He has experience in algorithm development, custom tool development in ArcGIS and TransCAD, data integration, data model development, and enterprise data management.
Co-presenter Biography
Mohammed (Maks) Alam is a national expert transportation specialist with 35 years of experience in Transportation Planning and Policy including Passenger/Freight Demand Modeling, Freight System/Automation and Technology, Transportation Policy Analysis, Asset Management and Highway Operation, Technical Support and Assistance to US DOT, FHWA. Since 2000, Mr. Alam has been actively taking responsible as Principle Investigator, conducting, managing, and coordinating multi-disciplinary and multimodal transport projects for the U.S. DOT, BTS, and DOE in the various areas of Transportation Planning and Policy Analysis, including Travel Demand Modeling, Freight Policy Analysis, Vehicle Inventory and Use Survey (VIUS) Analysis for Truck Size & Weight Study, VIUS trend analysis, Freight Analysis, and Framework (FAF) Development, FAF data reliability analysis, LRS data integration and development, HERS-ST development, HPMS traffic data QC analysis, NN and NHS development, Workshop and Training for State DOTs in the Area of Data integration, Asset management, and Highway Economic Requirement Analysis (HERS-ST), Multimode GIS-T applications, and Highway Investment and Cost-Benefit Analysis. Mr. Alam has extensive experience with integrating geospatial and non-spatial datasets and has conducted extensive research in geospatial data integration for transportation planning and policy applications.
Leveraging Probe Data for Freight Modeling
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