Qixiu Cheng

Orcid: 0000-0001-8772-7584

According to our database1, Qixiu Cheng authored at least 12 papers between 2018 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
MC-HSTA: A multi-source cross-domain hybrid spatio-temporal attention network for traffic flow prediction.
Neural Networks, 2026

2025
Evaluating Effectiveness and Identifying Appropriate Methods for Anomaly Detection in Intelligent Transportation Systems.
IEEE Trans. Intell. Transp. Syst., August, 2025

Energy and Environmental Implications of Automated Vehicles Under Mixed Autonomy Traffic Environment.
IEEE Trans. Intell. Veh., February, 2025

Enhancing logit stochastic user equilibrium convergence in large-scale networks via Barzilai-Borwein step size optimization.
Comput. Aided Civ. Infrastructure Eng., 2025

An integrated framework for multiple traffic anomalies detection on highways using vehicle trajectories.
Comput. Aided Civ. Infrastructure Eng., 2025

A physics-informed train on synthetic and test on real method for evaluating large language model-generated safety-critical traffic scenarios.
Comput. Aided Civ. Infrastructure Eng., 2025

2024
A fundamental diagram based hybrid framework for traffic flow estimation and prediction by combining a Markovian model with deep learning.
Expert Syst. Appl., March, 2024

Analytical formulation for explaining the variations in traffic states: A fundamental diagram modeling perspective with stochastic parameters.
Eur. J. Oper. Res., January, 2024

2023
A customized two-stage parallel computing algorithm for solving the combined modal split and traffic assignment problem.
Comput. Oper. Res., June, 2023

2022
Analysis of the Information Entropy on Traffic Flows.
IEEE Trans. Intell. Transp. Syst., 2022

A bi-level programming model for the optimal lane reservation problem.
Expert Syst. Appl., 2022

2018
Urban Rail Transit Demand Analysis and Prediction: A Review of Recent Studies.
Proceedings of the Intelligent Interactive Multimedia Systems and Services, 2018


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