A5090735521- Traffic and Road Safety
- Autonomous Vehicle Technology and Safety
- Traffic control and management
- Traffic Prediction and Management Techniques
- Vehicle emissions and performance
- Transportation Planning and Optimization
- Human-Automation Interaction and Safety
- Sleep and Work-Related Fatigue
- Vehicle Dynamics and Control Systems
- Simulation and Modeling Applications
- Automotive and Human Injury Biomechanics
- Anomaly Detection Techniques and Applications
- Vehicular Ad Hoc Networks (VANETs)
- Maritime Navigation and Safety
- Safety Warnings and Signage
- Video Surveillance and Tracking Methods
- Ergonomics and Musculoskeletal Disorders
- Transportation and Mobility Innovations
- Heart Rate Variability and Autonomic Control
- Structural Integrity and Reliability Analysis
- Urban Transport and Accessibility
- Smart Parking Systems Research
- Occupational Health and Safety Research
- Robotic Path Planning Algorithms
- Evacuation and Crowd Dynamics
Lanzhou Jiaotong University
2024-2025
Wuhan University of Technology
2015-2024
Hubei University of Arts and Science
2023-2024
Ministry of Transport
2014-2024
Florida State University
2021
Delft University of Technology
2020
Ministry of Transportation of Ontario
2019
Guilin University of Electronic Technology
2016
National Center for Chronic and Noncommunicable Disease Control and Prevention
2010
Chinese Center For Disease Control and Prevention
2010
Abstract Background Accurate and robust pathological image analysis for colorectal cancer (CRC) diagnosis is time-consuming knowledge-intensive, but essential CRC patients’ treatment. The current heavy workload of pathologists in clinics/hospitals may easily lead to unconscious misdiagnosis based on daily analyses. Methods Based a state-of-the-art transfer-learned deep convolutional neural network artificial intelligence (AI), we proposed novel patch aggregation strategy clinic using weakly...
Cooperative driving systems may increase the utilization of road infrastructure resources through coordinated control and platooning individual vehicles with potential enhancing both traffic safety efficiency. Vehicle cooperative is essentially a hybrid system that combination discrete events, i.e., transition maneuvering modes, such as vehicle merging platoon splitting, well continuous dynamics. In this paper, novel consisting maneuver switch motion introduced into multi-vehicle distributed...
Trajectory planning and tracking control are two keys of collision avoidance for autonomous vehicles in critical traffic scenarios. It requires not only the system functionality, but also strong real-time. In this paper, we integrated trajectory planner controller vehicle to implement trace obstacle avoidance. The is based on state lattice approach designed model predictive using kinematics model. simulation shows that can generate smooth trajectories which could be selected as references...
Automatic driving technology has become one of the hottest research topics Intelligent Transportation System (ITS) and Artificial Intelligence (AI) in recent years. The development automatic can be promoted through understanding states each driver (individualization driving). Although some methods for are proposed by previous studies, latent structured behaviors not yet been automatically discovered. purpose this study is to develop an unsupervised method deeply individualization driving....
Side collisions caused by sudden vehicle cut-ins comprise a significant proportion of traffic accidents. Due to the complex and dynamic nature environments, warning algorithms in advanced driving assistant systems (ADAS) often misjudge misdiagnose risk omit necessary warnings, because they rely solely on sensing information single equipped with ADAS have limited insights from communication surrounding vehicles environment. To improve effectiveness cut-in scenarios, this study established...
This study combines applied mathematics, visual analysis technology, information science with an approach of Scientometrics to systematically analyze the development status, research distribution and future trend intelligent vehicles research. A total number 3933 published paper index by SCIE SSCI from 2000 2019 are researched based on Mapping Knowledge Domain (MKD) approaches. Firstly, this analyzes literature content in field including number, productive countries, organization,...
In conditionally automated driving, the driver is required to take-over control of a vehicle if request issued due possible system limitations. This study investigates effect roadway environments and secondary tasks on performance safety. The experiment was conducted in real vehicle-based driving simulator. Participants experienced three different traffic scenarios, including non-critical scenario two critical scenarios. Manual 1-back cognitive task letter game were each tested scenario....
Purpose An individual’s driving style significantly affects overall traffic safety. However, is difficult to identify due temporal and spatial differences scene heterogeneity of behavior data. As such, the study real-time driving-style identification methods great significance for formulating personalized strategies, improving safety reducing fuel consumption. This aims establish a recognition framework based on longitudinal operation conditions (DOCs) using machine learning model natural...
Intelligent Transportation Systems (ITS) have been developed for more than ten years in China. Furthermore, a new generation should be launched to meet the requirement of rapid development transportation Firstly, history Transport is summarized this paper. Secondly, as one earliest ITS research center China, Center, Wuhan University Technology also introduced. It was established September, 2000, and aims improve traffic safety, reduce vehicle emission, save energy roadway waterway fields....
Inappropriate speed in negotiating curves is the primary cause of rollovers and sideslips. In this study, authors proposed an improved curve model considering driving styles, as well vehicle road factors. On basis a vehicle–road interaction model, driver behaviour factor was introduced to quantify styles choices. Firstly, fuzzy synthetic evaluation method utilised classify 30 professional drivers into three different types (i.e. cautious, moderate aggressive). Secondly, classification...
Autonomous driving is one of the promising technologies to tackle traffic accident and congestion problems nowadays. Even though an autonomous vehicle operated without humans, it necessary reflect characteristics a human driver. This can increase user acceptance system, which in turn will improve safety because occupants' trust it. In this paper, combined trajectory planning tracking algorithm proposed for control. Firstly, environments styles are modeled with Artificial Potential Field...
Rollover accidents are more likely to occur with Heavy-Duty Vehicles (HDV) due the high center of gravity and large size. A dynamic rollover index ( <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">RI</i> ) can describe transient nature responses vehicle states. This study proposes an improved detect real-time events in tripped untripped conditions. The combines roll-plane dynamics sprung unsprung mass even fully considers suspension under...
Circadian rhythms, inherent in all humans, consist of 24-h biological patterns that affect a person's fatigue level. The effect circadian rhythms on driving performance was explored an on-road study. Fifteen middle-aged professional daytime drivers were recruited to participate the experiment. Participants classified into three groups: (a) morning group started at 09:00, (b) noon 12:00, and (c) evening 21:00. Each completed 6-h task. self-reported Karolinska sleepiness scale score recorded...