Zongzhi Li

Professor

Illinois Institute of Technology

United States

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Professor Zongzhi Li is a faculty member at the Illinois Institute of Technology in the United States. His research focuses on transportation systems, data analysis, and sustainable planning, with recent articles addressing topics such as data imbalance in crash data, electric vehicle charging station planning, and bus dispatching strategies during epidemic outbreaks. Additionally, he has explored multicriteria analysis in transportation budget allocation and optimization of fuel consumption for inland ships.

Articles (12)

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2025

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2024

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2023

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2023

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2023

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2022

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2021

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2021

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2021

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2021

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2020

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2020

Collaborators (1)

Qian Zhang

Senior Lecturer

Liverpool John Moores University

UNITED KINGDOM

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Zongzhi Li

Research Interests

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Articles (12)

Addressing Data Imbalance in Crash Data: Evaluating Generative Adversarial Network’s Efficacy Against Conventional Methods

Sustainable Planning of Electric Vehicle Charging Stations: A Bi-Level Optimization Framework for Reducing Vehicular Emissions in Urban Road Networks

Dataset for developing optimal headway-based bus dispatching strategy during epidemic outbreaks

Optimal headway-based bus dispatching strategy under the influence of epidemic outbreaks

Incorporated Dempster-Shafer Theory, MACONT, and e-STEP Method (DSM-eSTEP) for Multicriteria Tradeoff Analysis in Transportation Budget Allocation

A two-stage modelling method for multi-station daily water level prediction

Integrated Herfindahl–Hirschman Index, Compromise Programming, and <i>ε</i>-Constraint Method For Multicriteria Performance-Based Transportation Budget Allocation

Intersection Signal Timing Optimisation for an Urban Street Network to Minimise Traffic Delays

Prediction and optimisation of fuel consumption for inland ships considering real-time status and environmental factors

A Practical Estimation Method of Inland Ship Speed Under Complex and Changeful Navigation Environment

Hybrid Dynamic Traffic Model for Freeway Flow Analysis Using a Switched Reduced-Order Unknown-Input State Observer

An Improved Car-Following Speed Model considering Speed of the Lead Vehicle, Vehicle Spacing, and Driver’s Sensitivity to Them

Collaborators (1)

Qian Zhang

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