A5043372001- Traffic and Road Safety
- Traffic control and management
- Traffic Prediction and Management Techniques
- Autonomous Vehicle Technology and Safety
- Urban Transport and Accessibility
- Transportation Planning and Optimization
- Human-Automation Interaction and Safety
- Injury Epidemiology and Prevention
- Safety Warnings and Signage
- Human Mobility and Location-Based Analysis
- Evacuation and Crowd Dynamics
- Transportation and Mobility Innovations
- Impact of AI and Big Data on Business and Society
- Economic and Environmental Valuation
Southeast University
2021-2025
The Synergetic Innovation Center for Advanced Materials
2024-2025
Monash University
2024
Chang'an University
2020
This study carried out a simulator test to determine and predict the duration of reduced driver performance during automated driving takeover process. Vehicle trajectory behavior data were collected in critical non-critical scenarios. The earth mover's distance was then adopted identify with optimal combination indicators by comparing it reference data. Gaussian mixture model employed classify state as either stable or unstable, derived for each participant based on these results....
User adoption and technological advances are crucial for the widespread implementation of Autonomous Vehicles (AVs) in existing transportation system. This study focuses on user adoption, with respect to skepticism towards environmental awareness Driving Systems (ADS). It leverages emerging simulation technology examines perceptual differences between ADS human riders high-level autonomous driving scenarios. Based a virtual-reality-enabled human-in-the-loop experiment, it is found that...
This study aims to develop prediction models of driver takeover time and crash risks during the automated driving process. A simulator experiment was conducted collect vehicle trajectory behavior data. The random-parameter duration model first built time. Results indicated that young drivers, novice request lead time, traffic volume had varying impacts on due unobserved heterogeneity. Then, an explainable machine learning utilized predict explore various predictors' crashes. Validation...
The present study utilized a random parameter logit (RPL) model to explore the nonlinear relationship between explanatory variables and likelihood of expressway crash severity. potential unobserved heterogeneity data brought by China’s road traffic characteristics was fully considered. A total 1154 crashes happened on Hang-Jin-Qu Expressway from 2013 2018 were analyzed. In addition conventional impact factors considered in past, related geometry also introduced, which contributed accidents...
Electric bicyclists are vulnerable road users and play an important role in traffic safety. The focus of this research is on analyzing cyclists’ injury severity vehicle-electric bicycle collisions. It exploratory analysis that was conducted based samples obtained from video data provided by the police Xi’an China. Three types include fatal, injury, property-damage-only (PDO). A random parameter logit (RPL) model specified to gain more insights into factors related level, including human...
Tunnels are critical areas for highway safety because the severity of crashes in tunnels tends to be more serious. Controlling vehicle speed is regarded as a feasible measure reduce accident rate tunnel entrance and exit areas. This paper aims evaluate effectiveness three types reduction markings (SRMs) zones by conducting driving simulation experiment. For this study, 25 drivers completed tasks day night scenarios. The acceleration data were collected analysing relative contrast, time mean...
Work zone areas are frequent congested sections considered as the freeway bottleneck. Connected and autonomous vehicle (CAV) trajectory optimization can improve operating efficiency in bottleneck by harmonizing vehicles’ manipulations. This study presents a joint of cooperative lane changing, merging, car-following actions for CAV control at local merging point together with upstream points. The multiagent reinforcement learning (MARL) method is applied this system, one agent providing...
Jam-absorption driving (JAD) can effectively prevent the generation and propagation of traffic oscillation. To alleviate congestion in signalized intersection with mixed flow, including human vehicles (HDVs) connected automated (CAVs), this study provides a jam-absorption strategy based on delay prediction platoon under congestion. An online method objective JAD is proposed focuses leaving state trajectory to achieve fast capture features. Then, real-time status information, we develop deep...
The freeway’s operation safety has attracted wide attention. In order to mitigate the losses brought on by traffic accidents freeways, discrete choice models were constructed based statistical analysis method quantitatively analyze significance and magnitude of impact multiple dimensional factors crash severity. Based 1154 that occurred Zhejiang Province’s Hang-Jin-Qu Fressway from 2013 2018, distribution characteristics severity analyzed. dependent variable was injury severity, which...
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