Ali Zockaie

Photo of Ali Zockaie
Assistant Professor

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Biography

Dr. Zockaie’s research foci are network modeling, and urban transportation planning. He has developed a framework for the reliability-based user equilibrium problem considering temporal and spatial links travel time correlation as part of his PhD dissertation. He has worked on preparing networks for simulation-based dynamic traffic assignments tools for different research projects with a good understanding of the application of these tools, analyzing simulation results, and extracting performance measures. Beside the network modeling experiences, he has conducted research on traffic flow theory, where he has integrated traffic flow theory concepts into the dynamic networks. Operation research and optimization is another field of his interest, which has led to several publications related to airline industry, facility location for alternative fuel vehicles, specifically electric vehicles. He has also engaged in some research on urban transportation planning and estimation of dynamic origin-destination travel demand through the integration of activity-based models and multi-modal dynamic microsimulation.

Projects

2017-2020
Work Zone Safety Training Grant
Michigan State University
Project funded by the Federal Highway Administration, US Department of Transportation
Co-PI

2016-2018
Updated Analysis of Michigan Traffic Inputs for Pavement ME Design
Michigan State University
Project funded by the Michigan Department of Transportation (MDOT)
Co-PI

2016-2018    Assessment of Countermeasure Gaps, Predictive Crash Analysis and Engineering Safety Programs in Michigan
Michigan State University
Project funded by the Michigan Department of Transportation (MDOT)
Co-PI

Courses Taught

CE 444: Transportation Engineering
CE 841: Traffic Flow Theory
CE 847: Traffic Analysis and Control