Lei Zhu

Lei Zhu

University of North Carolina at Charlotte

H-index: 16

North America-United States

About Lei Zhu

Lei Zhu, With an exceptional h-index of 16 and a recent h-index of 14 (since 2020), a distinguished researcher at University of North Carolina at Charlotte, specializes in the field of Wi-Fi human mobility, ITS and Big data/ML/AI, Sustainable transportation, Traffic simulation and modeling.

His recent articles reflect a diverse array of research interests and contributions to the field:

Learning to Change: Choreographing Mixed Traffic Through Lateral Control and Hierarchical Reinforcement Learning

Light-Duty Vehicle Trip Classification Using One-Class Novelty Detection and Exhaustive Feature Extraction

Data-Driven Graph Filter-Based Graph Convolutional Neural Network Approach for Network-Level Multi-Step Traffic Prediction

Real-Time Highly Resolved Spatial-Temporal Vehicle Energy Consumption Estimation Using Machine Learning and Probe Data

Mode Split Equilibrium Microsimulation Approach for Early-Stage On-Demand Shared Automated Mobility

Concept of Operations of Next-Generation Traffic Control Utilizing Infrastructure-Based Cooperative Perception

Mappymatch [SWR 22-38]

YAMM (Yet Another Map-Matcher)

Lei Zhu Information

University

Position

___

Citations(all)

847

Citations(since 2020)

675

Cited By

396

hIndex(all)

16

hIndex(since 2020)

14

i10Index(all)

25

i10Index(since 2020)

22

Email

University Profile Page

University of North Carolina at Charlotte

Google Scholar

View Google Scholar Profile

Lei Zhu Skills & Research Interests

Wi-Fi human mobility

ITS and Big data/ML/AI

Sustainable transportation

Traffic simulation and modeling

Top articles of Lei Zhu

Title

Journal

Author(s)

Publication Date

Learning to Change: Choreographing Mixed Traffic Through Lateral Control and Hierarchical Reinforcement Learning

arXiv preprint arXiv:2403.14879

Dawei Wang

Weizi Li

Lei Zhu

Jia Pan

2024/3/21

Light-Duty Vehicle Trip Classification Using One-Class Novelty Detection and Exhaustive Feature Extraction

IEEE Transactions on Industry Applications

Lei Zhu

Brennan Borlaug

Lei Lin

Jacob Holden

Jeffrey Gonder

2022/2/9

Data-Driven Graph Filter-Based Graph Convolutional Neural Network Approach for Network-Level Multi-Step Traffic Prediction

Sustainability

Lei Lin

Weizi Li

Lei Zhu

2022/12/13

Real-Time Highly Resolved Spatial-Temporal Vehicle Energy Consumption Estimation Using Machine Learning and Probe Data

Transportation Research Record

Joseph Severino

Yi Hou

Ambarish Nag

Jacob Holden

Lei Zhu

...

2022/2

Mode Split Equilibrium Microsimulation Approach for Early-Stage On-Demand Shared Automated Mobility

Sensors

Lei Zhu

Jinghui Wang

Yuqiu Yuan

Wei Wu

2022/10/20

Concept of Operations of Next-Generation Traffic Control Utilizing Infrastructure-Based Cooperative Perception

Stanley Young

Erik Bensen

Lei Zhu

Christopher Day

J Sam Lott

...

2022/6/1

Mappymatch [SWR 22-38]

Nicholas Reinicke

Jake Holden

Joshua Hoshiko

Lei Zhu

2022/3/28

YAMM (Yet Another Map-Matcher)

Nicholas Reinicke

Joshua Hoshiko

Jacob Holden

Lei Zhu

2022/3/28

Identifying Light-Duty Vehicle Travel from Large-Scale Multimodal Wearable GPS Data with Novelty Detection Algorithms

Lei Zhu

Brennan Borlaug

Lei Lin

Jacob Holden

Jeffrey Gonder

2021/4/7

How realistic is static traffic assignment? Analyzing automatic number-plate recognition data and image processing of real-time traffic maps for investigation

Transportation Research Interdisciplinary Perspectives

Hamid Mirzahossein

Iman Gholampour

Maryam Sedghi

Lei Zhu

2021

Use of shared automated vehicles for first-mile last-mile service: micro-simulation of rail-transit connections in Austin, Texas

Transportation research record

Yantao Huang

Kara M Kockelman

Venu Garikapati

Lei Zhu

Stanley Young

2021/2

Sensing Technology Survey for Obstacle Detection in Vegetation

Shreya Lohar

Lei Zhu

Stanley Young

Peter Graf

Michael Blanton

2021/12

Shared Automated Mobility with Demand-Side Cooperation: A Proof-of-Concept Microsimulation Study

Sustainability

Lei Zhu

Zhouqiao Zhao

Guoyuan Wu

2021/2/25

Network-wide multi-step traffic volume prediction using graph convolutional gated recurrent neural network

arXiv preprint arXiv:2111.11337

Lei Lin

Weizi Li

Lei Zhu

2021/11/22

Safe Operations at Roadway Junctions-Design Principles from Automated Guideway Transit

SAE International Journal of Advances and Current Practices in Mobility

J Sam Lott

Stanley Young

Lei Zhu

2021/6/16

Decision Support Tool for Planning Neighborhood-Scale Deployment of Low-Speed Shared Automated Shuttles

Transportation Research Record

Lei Zhu

Jinghui Wang

Venu Garikapati

Stanley Young

2020/9

2020 Transportation Research Board Workshop: Infrastructure Spatial Sensing at Intersections: The Potential to Enhance Safety and Enable Automation

Lei Zhu

2020/4

Approximation Framework of Embodied Energy of Safety: Insights and Analysis

Energies

Zijia Zhong

Lei Zhu

Stanley Young

2020/8/16

An optimization-based planning tool for on-demand mobility service operations

International Journal of Sustainable Transportation

HM Abdul Aziz

Venu Garikapati

Tony K Rodriguez

Lei Zhu

Bingrong Sun

...

2022/1/3

See List of Professors in Lei Zhu University(University of North Carolina at Charlotte)