A5040847417- Traffic and Road Safety
- Traffic Prediction and Management Techniques
- Traffic control and management
- Urban Transport and Accessibility
- Transportation Planning and Optimization
- Autonomous Vehicle Technology and Safety
- Infrastructure Maintenance and Monitoring
- Injury Epidemiology and Prevention
- Human-Automation Interaction and Safety
- Vehicle emissions and performance
- Transportation Safety and Impact Analysis
- Automotive and Human Injury Biomechanics
- Safety Warnings and Signage
- Transportation and Mobility Innovations
- Anomaly Detection Techniques and Applications
- Economic and Environmental Valuation
- Occupational Health and Safety Research
- Risk and Safety Analysis
- Human Mobility and Location-Based Analysis
- Time Series Analysis and Forecasting
- Evacuation and Crowd Dynamics
- Video Surveillance and Tracking Methods
- Older Adults Driving Studies
- Air Traffic Management and Optimization
- Agriculture and Farm Safety
University of Central Florida
2016-2025
Cairo University
2025
Assiut University
2024
Southeast University
2023
Shanghai Urban Transportation Design Institute (China)
2023
ORCID
2021-2023
University of California, Berkeley
2009
University of South Florida
1999
Metro Transit
1999
Georgia Institute of Technology
1999
An increasing research effort has been made on spatially disaggregated safety analysis models to meet the needs of region-level inspection and recently emerging transportation planning techniques. However, without explicitly differentiating exposure variables risk factors, most existing studies alternate use crash frequency, rate, interpret model coefficients. This procedure may have resulted in inconsistent findings relevant studies. study proposes a Bayesian spatial account for...
With the help of traffic detectors widely deployed along arterial roads and intersections, real-time data are collected updated in a very short time period, which makes it possible to conduct analysis at signalized intersections. Among them, crash risk prediction is one most promising challenging research topics. This study attempts predict by considering series dependency with employment long short-term memory recurrent neural network (LSTM-RNN) algorithm. Also, synthetic minority...
The development of safety-oriented research and applications requires fine-grain vehicle trajectories that not only have high accuracy, but also capture substantial safety-critical events. However, it would be challenging to satisfy both these requirements using the available trajectory datasets do capacity both. This paper introduces CitySim dataset has core objective facilitating applications. extracted from 1,140-min drone videos recorded at 12 locations. It covers a variety road...
Growing concern over traffic safety has led to research into prediction of freeway crashes in an advanced management and information systems environment. A crash likelihood model was developed by using real-time flow variables (measured through a series underground sensors) potentially associated with occurrence. The issues related application, including range stations time slice duration be examined, were also addressed. methodology used, matched case-control logistic regression, adopted...