activity
20202025
most citedA Learning-based Discretionary Lane-Change Decision-Making Model with Driving Style Awareness

90 citations · 203 across the 6 of their papers we have counts for

collaborators

7 papers

math.NA2025

Central-Upwind Scheme for the Phase-Transition Traffic Flow Model

Shaoshuai Chu, Alexander Kurganov, Saeed Mohammadian +1

Phase-transition models are an important family of non-equilibrium continuum traffic flow models, offering properties like replicating complex traffic phenomena, maintaining anisot…

physics.soc-ph2025★ 1 cited

Evaluating Electric Micro-Mobility Related Mode Choice Stated Preferences: A Latent Class Choice Approach

Yikang Wu, Mehmet Yildirimoglu, Zuduo Zheng

This paper examines mode choice behaviour regarding Electric Micro-Mobility (EMM) among car and public transport users using a Latent Class Choice Modelling (LCCM) approach. Utiliz…

cs.LG2022

Estimating Link Flows in Road Networks with Synthetic Trajectory Data Generation: Reinforcement Learning-based Approaches

Miner Zhong, Jiwon Kim, Zuduo Zheng

This paper addresses the problem of estimating link flows in a road network by combining limited traffic volume and vehicle trajectory data. While traffic volume data from loop det…

cs.AI2021★ 70 cited

A Generative Car-following Model Conditioned On Driving Styles

Yifan Zhang, Xinhong Chen, Jianping Wang +2

Car-following (CF) modeling, an essential component in simulating human CF behaviors, has attracted increasing research interest in the past decades. This paper pushes the state of…

math.AP2021★ 41 cited

Continuum modeling of freeway traffic flows: State-of-the-art, challenges and future directions in the era of connected and automated vehicles

Saeed Mohammadian, Zuduo Zheng, Md. Mazharul Haque +1

Connected and automated vehicles (CAVs) are expected to reshape traffic flow dynamics and present new challenges and opportunities for traffic flow modeling. While numerous studies…

cs.DL2021★ 1 cited

Reasons, Challenges and Some Tools for Doing Reproducible Research in Transportation Research

Zuduo Zheng

This paper introduces reproducible research, and explains its importance, benefits and challenges. Some important tools for conducting reproducible research in Transportation Resea…

cs.RO2020★ 90 cited

A Learning-based Discretionary Lane-Change Decision-Making Model with Driving Style Awareness

Yifan Zhang, Qian Xu, Jianping Wang +3

Discretionary lane change (DLC) is a basic but complex maneuver in driving, which aims at reaching a faster speed or better driving conditions, e.g., further line of sight or bette…