Kazi E. Ullah is a Senior Associates in Travel Demand Forecasting business line of Cambridge Systematics Inc. He has experience in the areas of transportation planning, travel demand modeling, forecasting and simulation, and several modeling software packages, including Cube/Voyager, TransCAD, EMME, Tranplan and VISUM. He also has experience in transit planning, freight modeling, air quality analysis and integration between traffic and simulation models.Mr. Ullah was involved for developing different scenarios for I-95 corridor study using South East Florida Regional Planning Model (SERPM). This is an activity based model with Cube and Java platform. Study includes interim and future year modeling with different capacities in I-95 and I-75 corridor. Mr. Ullah was also involved in developing an Air Quality Post Processor tool for Florida DOT using Cube/Voyager to calculate emissions that includes Oxides of Nitrogen (NOx), Volatile Organic Compounds (VOC), and Carbon Dioxide Equivalents (CO2eq).For the Abu Dhabi Department of Transport (DOT), Cambridge Systematics, as part of a team, provided support for the Transit Corridor and City Centre Studies, and lead the Border Crossing Operations Study. Mr. Ullah was responsible for running DoT’s STEAM Model using Cube/Voyager. Several alternatives were run before developing the best possible scenario for micro-simulation studies in Al Ain area.Mr. Ullah was a key member of Chicago BRT Planning Study. He was involved for evaluating the base year transit model using EMME. He was responsible for validation of base year 2015 transit ridership in terms of on-board survey, and creating a future year ridership forecast. For Chicago O’hare Airport Traffic Study, Mr. Ullah was involved in running a subarea model in EMME and validating the subarea with recent counts. He was responsible to provide an interface between EMME and simulation model which is Vissim.For the North Jersey Transportation Planning Authority (NJTPA), Mr. Ullah has developed freight forecasting tools for Portway Extension Project using latest FAF network and TRANSEARCH Data. He was responsible for developing base year and future-year freight model using Cube/TP+ software.Mr. Ullah was involved with the integration and update of all 19 county travel demand models into one software platform. Cube/Voyager was used as a common platform so that all different municipal planning organizations (MPOs) can use the same software for traffic forecasting. The Statewide network merges the nine existing MPO and regional model networks and ten new district networks to create single statewide model network. Socio-economic data for all 19 counties was integrated into the model such that the model can run seamlessly.Mr. Ullah received a Master of Science degree in Civil Engineering from Utah State University.

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