Wei Fan
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View article: A 12-Month Multicenter Postmarketing Clinical Study of a Trifocal Intraocular Lens in a Chinese Population
A 12-Month Multicenter Postmarketing Clinical Study of a Trifocal Intraocular Lens in a Chinese Population Open
TFNT00 was safe and effective in a Chinese population, providing good VA at far, intermediate, and near distances, with high rates of spectacle independence and patient satisfaction.
View article: Geopolitical risks and resilience strategies in driving investment in clean energy infrastructure along the Belt and Road Initiative
Geopolitical risks and resilience strategies in driving investment in clean energy infrastructure along the Belt and Road Initiative Open
View article: Assessing Emergency Preparedness and Scalability Readiness: Insights Into Training, Communication, Planning, and Safety in Baltimore Food Pantries
Assessing Emergency Preparedness and Scalability Readiness: Insights Into Training, Communication, Planning, and Safety in Baltimore Food Pantries Open
View article: A simulation approach for analyzing metro resilience under operational incidents
A simulation approach for analyzing metro resilience under operational incidents Open
View article: Revealing the effects of environmental and spatio-temporal variables on changes in Japanese sardine (Sardinops melanostictus) high abundance fishing grounds based on interpretable machine learning approach
Revealing the effects of environmental and spatio-temporal variables on changes in Japanese sardine (Sardinops melanostictus) high abundance fishing grounds based on interpretable machine learning approach Open
The construction of accurate and interpretable predictive model for high abundance fishing ground is conducive to better sustainable fisheries production and carbon reduction. This article used refined statistical maps to visualize the spa…
View article: Msrn: A Multi-Head Spatiotemporal Relationship Network for Individual Action Recognition in Group Rhesus Monkeys with Long-Tailed Distribution
Msrn: A Multi-Head Spatiotemporal Relationship Network for Individual Action Recognition in Group Rhesus Monkeys with Long-Tailed Distribution Open
View article: Seasonal Instability in Crash Determinants: A Partially Temporally Constrained Modeling Analysis
Seasonal Instability in Crash Determinants: A Partially Temporally Constrained Modeling Analysis Open
View article: Interfacial Bond-Directed Electron Superhighways in Βpdi/Feooh Nanoantennas: Unlocking Ph-Robust Dual-Radical Synergy for Refractory Antibiotic Mineralization
Interfacial Bond-Directed Electron Superhighways in Βpdi/Feooh Nanoantennas: Unlocking Ph-Robust Dual-Radical Synergy for Refractory Antibiotic Mineralization Open
View article: Temporal dynamics of pedestrian injury severity: A seasonally constrained random parameters approach
Temporal dynamics of pedestrian injury severity: A seasonally constrained random parameters approach Open
View article: Seasonal Spatio-Temporal Model Improves Refined Stock Assessment and Management of Japanese Sardine (Sardinops melanostictus) in the Northwest Pacific Ocean
Seasonal Spatio-Temporal Model Improves Refined Stock Assessment and Management of Japanese Sardine (Sardinops melanostictus) in the Northwest Pacific Ocean Open
Accurate estimation of fish stock abundance and exploitability is critical for effective fishery management; however, fishery-dependent data are often affected by temporal and spatial heterogeneities due to the seasonal migration of fish, …
View article: Hybrid Reinforcement Learning Breaks Sample Size Barriers in Linear MDPs
Hybrid Reinforcement Learning Breaks Sample Size Barriers in Linear MDPs Open
Hybrid Reinforcement Learning (RL), where an agent learns from both an offline dataset and online explorations in an unknown environment, has garnered significant recent interest. A crucial question posed by Xie et al. (2022) is whether hy…
View article: Analysis and Prospects of an Antarctic Krill Detection Experiment Using Drifting Sonar Buoy
Analysis and Prospects of an Antarctic Krill Detection Experiment Using Drifting Sonar Buoy Open
To reduce costs associated with the detection and population assessment of Antarctic krill and diversify the single detection approach, our team designed and deployed a drifting sonar buoy for krill detection in the waters surrounding Anta…
View article: Cause Analysis and Preventive Measures against False Bottoms in Echosounder Data
Cause Analysis and Preventive Measures against False Bottoms in Echosounder Data Open
This article presents a summary of three common false-bottom occurrences in echosounder imaging based on an analysis of echosounder data. Utilizing the imaging principle of the echosounder, a comprehensive analysis was conducted and an exp…
View article: The Performance of Connected and Autonomous Vehicles with Trajectory Planning in a Fixed Signal Controlled Intersection
The Performance of Connected and Autonomous Vehicles with Trajectory Planning in a Fixed Signal Controlled Intersection Open
Connected and autonomous vehicles (CAVs) are recognised as a technology trend in the transportation engineering arena. As one of the most popular capabilities of CAVs, trajectory planning attracts extensive attention and interest from both…
View article: Emerging Technologies in the Electrification of Urban Mobility
Emerging Technologies in the Electrification of Urban Mobility Open
The Paris Agreement limits the long-term global warming goal to well below 2 and preferably to 1 [...]
View article: Dynamic speed harmonization for mixed traffic flow on the freeway using deep reinforcement learning
Dynamic speed harmonization for mixed traffic flow on the freeway using deep reinforcement learning Open
In the vicinity of weaving areas, freeway congestion is nearly unavoidable due to their negative effects on the continuous freeway mainline flow. The adverse impacts include increased collision risks, extended travel time, and excessive em…
View article: Research and Implementation of Intelligent Control System for Grassland Grazing Robotic Vehicle
Research and Implementation of Intelligent Control System for Grassland Grazing Robotic Vehicle Open
In response to the complex animal husbandry environment, wide livestock range, and labor shortage in Inner Mongolia grasslands, this study designed an intelligent control system for robotic vehicles used in natural grazing grassland enviro…
View article: Connected autonomous vehicles: State of practice
Connected autonomous vehicles: State of practice Open
Connected autonomous vehicles (CAVs) have the potential to deal with the steady increase in road traffic while solving transportation related issues such as traffic congestion, pollution, and road safety. Therefore, CAVs are becoming incre…
View article: Application of Wavelet Transform for the Detection of Cetacean Acoustic Signals
Application of Wavelet Transform for the Detection of Cetacean Acoustic Signals Open
Cetaceans are an important part of the ocean ecosystem and are widely distributed in seas across the world. Cetaceans are heavily reliant on acoustic signals for communication. Some Odontoceti can perceive their environments using their so…
View article: Freeway Traffic Speed Prediction under the Intelligent Driving Environment: A Deep Learning Approach
Freeway Traffic Speed Prediction under the Intelligent Driving Environment: A Deep Learning Approach Open
The intelligent transportation system (ITS) has been proven capable of effectively addressing traffic congestion issues. For vehicles to perform effectively and improve mobility under the intelligent driving environment, real-time predicti…
View article: Evaluating the Performance of Connected and Automated Vehicles in Fixed Signal-Controlled Conventional Intersections and Superstreets with Platooning-Based Trajectory Planning
Evaluating the Performance of Connected and Automated Vehicles in Fixed Signal-Controlled Conventional Intersections and Superstreets with Platooning-Based Trajectory Planning Open
Connected and autonomous vehicles (CAVs) are emerging technology that attracts the interests of many transportation professionals and computational scientists. Several recent studies have investigated different model frameworks of CAVs in …
View article: Evaluating the Impacts of Optimization Horizon on the Shared Autonomous Vehicle Reservation Request System
Evaluating the Impacts of Optimization Horizon on the Shared Autonomous Vehicle Reservation Request System Open
With the development of technology, shared autonomous vehicles may become one of the main traffic modes in the future. Especially, shared autonomous vehicle reservation system, commuting, and other trips with fixed departure time mostly su…
View article: Trajectory Optimization of CAVs in Freeway Work Zone considering Car-Following Behaviors Using Online Multiagent Reinforcement Learning
Trajectory Optimization of CAVs in Freeway Work Zone considering Car-Following Behaviors Using Online Multiagent Reinforcement Learning Open
Work zone areas are frequent congested sections considered as the freeway bottleneck. Connected and autonomous vehicle (CAV) trajectory optimization can improve the operating efficiency in bottleneck areas by harmonizing vehicles’ manipula…
View article: Mixed logit model based diagnostic analysis of bicycle-vehicle crashes at daytime and nighttime
Mixed logit model based diagnostic analysis of bicycle-vehicle crashes at daytime and nighttime Open
View article: Extreme Gradient Boosting (XGBoost) Model for Vehicle Trajectory Prediction in Connected and Autonomous Vehicle Environment
Extreme Gradient Boosting (XGBoost) Model for Vehicle Trajectory Prediction in Connected and Autonomous Vehicle Environment Open
Connected and autonomous vehicles (CAVs) have the ability to receive information on their leading vehicles through multiple sensors and vehicle-to-vehicle (V2V) technology and then predict their future behaviour thus to improve roadway saf…
View article: Travel time forecasting on a freeway corridor: a dynamic information fusion model based on the random forests approach
Travel time forecasting on a freeway corridor: a dynamic information fusion model based on the random forests approach Open
Purpose Metropolitan areas suffer from frequent road traffic congestion not only during peak hours but also during off-peak periods. Different machine learning methods have been used in travel time prediction, however, such machine learnin…
View article: Bi-level optimization of long-term highway work zone scheduling considering elastic demand
Bi-level optimization of long-term highway work zone scheduling considering elastic demand Open
Purpose More and more work zone projects come with the needs of new construction and regular maintenance-related investments in transportation. Work zone projects can have many significant impacts socially, economically and environmentally…
View article: A Freeway Travel Time Prediction Method Based on an XGBoost Model
A Freeway Travel Time Prediction Method Based on an XGBoost Model Open
Travel time prediction plays a significant role in the traffic data analysis field as it helps in route planning and reducing traffic congestion. In this study, an XGBoost model is employed to predict freeway travel time using probe vehicl…
View article: Machine Learning Based Short-Term Travel Time Prediction: Numerical Results and Comparative Analyses
Machine Learning Based Short-Term Travel Time Prediction: Numerical Results and Comparative Analyses Open
Due to the increasing traffic volume in metropolitan areas, short-term travel time prediction (TTP) can be an important and useful tool for both travelers and traffic management. Accurate and reliable short-term travel time prediction can …
View article: Traffic Signal Control Under Mixed Traffic With Connected and Automated Vehicles: A Transfer-Based Deep Reinforcement Learning Approach
Traffic Signal Control Under Mixed Traffic With Connected and Automated Vehicles: A Transfer-Based Deep Reinforcement Learning Approach Open
Backgrounds: The traffic signal control (TSC) system could be more intelligently controlled by deep reinforcement learning (DRL) and information provided by connected and automated vehicles (CAVs). However, the direct training procedure of…