A5024693189- Traffic and Road Safety
- Traffic Prediction and Management Techniques
- Traffic control and management
- Transportation Planning and Optimization
- Infrastructure Maintenance and Monitoring
- Urban Transport and Accessibility
- Injury Epidemiology and Prevention
- Occupational Health and Safety Research
- Transportation Safety and Impact Analysis
- Vehicle emissions and performance
- Human Mobility and Location-Based Analysis
- Safety Warnings and Signage
- Risk and Safety Analysis
- Statistical Methods and Bayesian Inference
- Geographic Information Systems Studies
- Transportation Systems and Infrastructure
- Autonomous Vehicle Technology and Safety
- Trauma and Emergency Care Studies
- Automotive and Human Injury Biomechanics
- Diverse Aspects of Tourism Research
- Advanced Statistical Methods and Models
- Spatial and Panel Data Analysis
- Smart Grid and Power Systems
- Land Use and Ecosystem Services
- Human-Automation Interaction and Safety
Second Hospital of Shanxi Medical University
2025
Shanxi Medical University
2025
Nanjing University
2015-2024
Southwest Petroleum University
2024
University of Wisconsin–Milwaukee
2015-2024
China Medical University
2024
Dalian Maritime University
2024
Jiangsu Provincial Urban Planning and Design Institute
2022
Peking University
2021
Southeast University
2021
In this article, the authors present an innovative approach for signalized intersection performance measurement using probe vehicle trajectory data, focusing on queue length estimation. Critical points, defined as data points representing changes in dynamics, are keystone of methodology. The author then a threshold-based critical point extraction algorithm, which has potential to reduce communication cost future real-time collection application. A shockwave-based method detect signal timing...
Queue length estimation is an important component of intersection performance measurement. Different approaches based on different data sources have been presented. With the latest developments in vehicle detection technologies, especially probe use trajectory has become possible. In this paper, improved method for queue signalized intersections proposed. This able to provide cycle-by-cycle with sampled trajectories as only input. The keystone entire approach concept critical point (CP),...
Spatial statistical techniques can be an effective tool for analyzing patterns and autocorrelation in crash data, especially weather-related crashes. Since weather is a geographic phenomenon, it tends to show distinct affecting certain locations more than others. Accordingly, "weather-related" crashes may also display similar or clustering. The objective of this research was use spatial identify significant Weather-related crashes, defined as those which occurred adverse conditions, were...
Abstract Background: Sufficient epidemiologic evidence shows an etiologic link between polycyclic aromatic hydrocarbons (PAH) exposure and lung cancer risk. While the genetic modifications have been found in PAH-exposed population, it is unclear whether gene-specific methylation involves process of PAH-associated biologic consequence. Methods: Sixty-nine workers 59 control subjects were recruited. Using bisulfite sequencing, we examined status p16INK4α promoter peripheral blood lymphocytes...
Under the safe system approach, drivers will inevitably make mistakes and errors that can contribute to crashes. Driver are widely cited as one of critical reasons for crash occurrence in safety literature. Despite universal acceptance, discussion their effects on injury outcomes is limited. The primary objective this study quantify driver severity model at urban intersections. To obtain research objectives, were categorized sequential events a driving task. Combinations error categories...
To investigate the association between high-sensitivity C-reactive protein (Hs-CRP) levels and risk of postoperative delirium (POD) following general anesthesia. This retrospective cross-sectional study included 644 patients who underwent Univariate multivariate logistic regression analyses were performed to evaluate relationship Hs-CRP POD, with subgroup used assess stratified associations. Receiver operator characteristic (ROC) curve analysis was employed predictive efficacy for POD....
A critical part of any risk assessment is identifying how to represent exposure the involved. Recent research shows that relationship between crash count and traffic volume nonlinear; consequently, a simple rate computed as ratio not suitable for comparing safety sites with different volumes. To solve this problem, we describe new approach relating incidence. Specifically, disaggregate crashes into four types: (1) single-vehicle, (2) multivehicle same direction, (3) opposite (4)...
Injury severity and vehicle damage are two of the main indicators level crash severity. Other factors, such as driver characteristics, roadway conditions, highway geometry, environmental type, roadside objects, may also be directly or indirectly related to All these factors interact in complicated ways that it is often difficult identify their interrelationships. The aim this study was examine relationships between contributors single-vehicle crashes. Structural equation modeling (SEM)...
Statistics show that crashes involving large trucks are generally more severe than those other vehicles because of the size, weight, and speed differential between vehicles. Given critical position trucking in process economic recovery growth, improvement truck safety mitigation any negative impacts on non-truck urgent issues. Statistical models have been used universally to identify contributing factors crash severities estimate injury probabilities. These methodologies, albeit addressing...