A5058050894- Traffic and Road Safety
- Traffic control and management
- Urban Transport and Accessibility
- Transportation Planning and Optimization
- Vehicle emissions and performance
- Traffic Prediction and Management Techniques
- Autonomous Vehicle Technology and Safety
- Robotic Path Planning Algorithms
- Human-Automation Interaction and Safety
- Safety Warnings and Signage
- Older Adults Driving Studies
- Evaluation Methods in Various Fields
- Energy, Environment, Economic Growth
- Climate Change Policy and Economics
- Evaluation and Optimization Models
- Impact of Light on Environment and Health
- Robotics and Sensor-Based Localization
- Occupational Health and Safety Research
- Injury Epidemiology and Prevention
- Automotive and Human Injury Biomechanics
- Sleep and Work-Related Fatigue
- Graphite, nuclear technology, radiation studies
- Environmental Impact and Sustainability
- Economic and Environmental Valuation
- Value Engineering and Management
Southeast University
2013-2024
Xidian University
2024
The Synergetic Innovation Center for Advanced Materials
2020-2024
Harbin Engineering University
2017-2022
University of Hong Kong
2021-2022
Hong Kong Polytechnic University
2019-2020
Nanjing University of Science and Technology
2020
North China University of Technology
2019
Northwestern Polytechnical University
2019
Pennsylvania State University
2018
We present a fluorogenic method to visualize misfolding and aggregation of specific protein-of-interest in live cells using structurally modulated fluorescent protein chromophores. Combining photophysical analysis, X-ray crystallography, theoretical calculation, we show that fluorescence is triggered by inhibition twisted-intramolecular charge transfer these fluorophores the rigid microenvironment viscous solvent or aggregates. Bioorthogonal conjugation fluorophore Halo-tag fused...
The primary objective of this study was to compare the risky behaviors e-bike, e-scooter, and bicycle riders as they were crossing signalized intersections.Pearson's chi-square test used identify whether there significant differences in among riders. Binary logit models developed evaluate how various variables affected 2-wheeled vehicle at intersections. Field data collection conducted 13 intersections 2 cities (Nanjing Kunming) China.Three different types identified, including stop beyond...
A comparative analysis was conducted on the red light running behavior of riders scooter-style electric bicycles (e-scooters), bicycle-style (e-bikes), and as they crossed signalized intersections. The crossing behaviors 5,646 (1,568 e-bikes, 2,612 e-scooters, 1,466 bicycles) were observed. average rates for at selected sites 24.9%, 25.0%, 18.3%, respectively. e-bikes e-scooters significantly higher than those bicycles. difference in between not statistically significant. binary logit model...
One major challenge faced by neighborhood-level bicycle safety analysis is the lack of complete and reliable exposure data for entire area under investigation. Although conventional travel-diary surveys, together with emerging smartphone fitness applications bike-sharing systems, provide straightforward valuable opportunities to estimate territory-wide activities, obtained ridership suffers inherently from underreporting. We introduced Bayesian simultaneous-equation model as a sound...
With increasing traffic demand in urban areas of metropolises, many tunnels have been constructed to improve road capacity and mobility. The distance between two consecutive is relatively short which usually forms a weaving section, leading considerable conflicts. objective this study evaluate the safety performance such inter-tunnel sections. Conflict prediction models based on negative binomial regression were developed identify influential factors. Field data collected at ten selected...
This study aims to establish a stochastic link-based fundamental diagram (FD) with explicit consideration of two available sources uncertainty: speed heterogeneity, indicated by the variance within an interval, and rainfall intensity. A structure was proposed incorporate heterogeneity into traffic stream model, random-parameter structures were applied reveal unobserved in mean speeds at identical density. The FD calibrated validated using real-world data obtained from selected road segments...
This paper proposes an enhanced YOLOv8 model to address the challenges of complex classroom behavior detection. The effectively overcomes limitations original YOLO backbone, including restricted receptive field and insufficient multi-scale feature learning due fixed convolutional kernels. We introduce a novel CA-C2f module, enabling more comprehensive fusion adjustment field. Additionally, we propose attention-based 2DPE-MHA which enhances model's ability capture long-range dependencies,...
The primary objective of this study was to identify whether the frequency traffic conflicts at signalized intersections can be modeled. opposing left-turn were selected for development conflict predictive models.Using data collected 30 approaches 20 intersections, underlying distributions under different conditions examined. Different conflict-predictive models developed relate various explanatory variables. considered include a linear regression model, negative binomial and separate four...
Beijing, as a cradle of modern industry and the third largest metropolitan area in China, faces more responsibilities to adjust industrial structure mitigate carbon emissions. The purpose this study is aimed at predicting comparing emissions Beijing ten scenarios under different policy focus, then providing emission-cutting recommendations. In views various issues, system dynamics has been applied predict simulate. To begin with, model established following step causal loop diagram stock...
Crashes present different collision types at freeway diverge areas. The research reported in this paper applies the multivariate modeling technique to evaluate crash risks by type. Three years data are obtained from 282 exit ramps. of crashes considered [i.e., (1) rear-end, (2) sideswipe, and (3) angle collisions]. A Poisson-lognormal (MVPLN) model is estimated jointly impacts explanatory variables on risks. For comparison purpose, univariate negative binomial (NB) models also based same...
Estimating traffic flow models, such as speed-density relationships, using data from multiple sources with different temporal resolutions is a prevalent challenge encountered in real-world scenarios. The resolution incompatibility often intuitively addressed by averaging the high-resolution (HR) to synchronize low-resolution (LR) data. This paper shows that ignoring variability of HR within LR interval during process could lead systematic point distortions, resulting biased model...