Cyber-physical models for distributed CAV data intelligence in support of self-organized adaptive traffic signal coordination control

W Lin, H Wei - Expert Systems with Applications, 2023 - Elsevier
While more studies have been focused on adaptive traffic signal control (ATSC) algorithms
to learn the control policy from interactions with the traffic environment by using connected …

CAV-enabled data analytics for enhancing adaptive signal control safety environment

W Lin, H Wei - Accident Analysis & Prevention, 2023 - Elsevier
Given the connected and autonomous vehicle (CAV) generated trajectories as a “floating
sensor” data source to obtain high resolution CAV-generated mobility data at intersections …

ANN prediction model of concrete fatigue life based on GRW-DBA data augmentation

J Shi, W Zhang, Y Zhao - Applied Sciences, 2023 - mdpi.com
In order to improve the prediction accuracy of the machine learning model for concrete
fatigue life using small datasets, a group calculation and random weight dynamic time …

A Two-stage Method for Damage Detection in Z24 Bridge Based on K-nearest Neighbor and Artificial Neural Network

VH Hoang, NL Nguyen, TT Bui, NH Tran - Periodica Polytechnica Civil …, 2024 - pp.bme.hu
In this paper, we propose an effective approach for identifying damages in the Z24 bridge, a
large-scale bridge in Switzerland. The dataset of the Z24 bridge is evaluated as a …

A Deep Spatiotemporal Model for Travel Time Prediction

S Han, L Fu - Annals of Applied Sciences, 2024 - mediterraneanjournals.com
Accurate and reliable travel time prediction is important for promoting the development of
urban public transportation, ensuring public travel safety, and establishing smart cities. In …

Distributed CAV Mobility Data Intelligence and Informatics towards Self-Adaptive Traffic Operation and Sustainability Assessment

W Lin - 2024 - rave.ohiolink.edu
Emerging transportation technologies, such as connected and autonomous vehicle (CAV)
technologies with the support of cooperative vehicle-to-everything (C-V2X) wireless …

Short-Term Photovoltaic Power Generation Forecasting with Lowess Smoothing, Feature Selection, and Optimized Bigru

Y Dai, Y Wang, M Leng, X Yang, Q Zhou - Feature Selection, and … - papers.ssrn.com
As indispensable alternative resource of traditional energy for sustainable development,
accurate photovoltaic power generation forecasting is important to arranging production …