A5102719437- Traffic and Road Safety
- Traffic Prediction and Management Techniques
- Autonomous Vehicle Technology and Safety
- Traffic control and management
- Infrastructure Maintenance and Monitoring
- Urban Transport and Accessibility
- Transportation Planning and Optimization
- Risk and Safety Analysis
- Human-Automation Interaction and Safety
- Anomaly Detection Techniques and Applications
- Vehicle emissions and performance
- Occupational Health and Safety Research
- Video Surveillance and Tracking Methods
- IoT and GPS-based Vehicle Safety Systems
- Evaluation and Optimization Models
- Vehicular Ad Hoc Networks (VANETs)
- Sleep and Work-Related Fatigue
- Vehicle Dynamics and Control Systems
- Transportation and Mobility Innovations
- Human Mobility and Location-Based Analysis
- Wind and Air Flow Studies
- Safety Warnings and Signage
- Advanced Neural Network Applications
- Injury Epidemiology and Prevention
- Safety Systems Engineering in Autonomy
Tongji University
2015-2024
Ministry of Education of the People's Republic of China
2016-2024
Huazhong University of Science and Technology
2022
Indiana University – Purdue University Indianapolis
2020
Beijing Jiaotong University
2017
University of Central Florida
2012-2014
This study investigated the effect of interaction between roadway geometric features and real-time weather traffic data on occurrence crashes a mountainous freeway. The Bayesian logistic regression technique was used to link total 301 crash occurrences I-70 in Colorado with space mean speed collected real time from an automatic vehicle identification (AVI) system geometry data. results suggested that inclusion geometrics AV I context active management systems essential, particular sections...
Although numerous studies have attempted to use data from inductive loop and radar detectors in real-time crash prediction, safety analyses that investigated the of traffic an increasingly prevalent nonintrusive surveillance system not included tag readers on toll roads known as “automatic vehicle identification (AVI) systems.” This paper (a) compares prediction performance a single generic model for all crashes specific rear-end used AVI data, (b) applies Bayesian updating approach generate...
Real-time crash risk prediction models aim to identify pre-crash conditions as part of active traffic safety management. However, traditional which were mainly developed through matched case-control sampling have been criticised due their biased estimations. In this study, the state-of-art class balancing method known Wasserstein Generative Adversarial Network (WGAN) was introduced address imbalance problem in model development. An extremely imbalanced dataset consisted 257 crashes and over...
This paper investigates the effects of microscopic traffic, weather, and roadway geometric factors on occurrence specific crash types for a freeway. The I-70 Freeway was chosen this since automatic vehicle identification (AVI) weather detection systems are implemented along corridor. A main objective is to expand purpose existing intelligent transportation system incorporate traffic safety improvement suggest active management (ATM) strategies by identifying real-time patterns. Crashes have...