Proactive safety
Strategies that anticipate risk and prevent crashes before they happen.
International Symposium on Accident Analysis and Prevention
The Editorial Board of the Accident Analysis & Prevention (Elsevier) organized the third International Symposium on Accident Analysis & Prevention 2026 (ISAAP 2026) and it was successfully held in Changsha, China. The symposium principally focused on the proactive strategies using various methods to enhance traffic safety for the future.
ISAAP brings together leading scholars, journal editors, and early-career researchers from around the world to exchange ideas on the most pressing challenges in accident analysis and prevention. The 2026 edition centred on proactive safety — anticipating and preventing crashes before they occur, rather than reacting to them.
Across two days in Changsha, participants explored crash prediction, automated vehicles, artificial intelligence, traffic-conflict techniques, and data-driven decision making, united by a shared goal: building a safer transport future.
Strategies that anticipate risk and prevent crashes before they happen.
Machine learning, large language models, and advanced sensing for road safety.
Scholars from ten leading institutions across the world.
Keynote and presentation speakers from leading universities worldwide.
University of Central Florida
Emeritus Editor of Accident Analysis & Prevention
Queensland University of Technology
Tongji University
University of Massachusetts Lowell
Hong Kong Polytechnic University
Technical University of Munich
California Polytechnic State University
Central South University
Louisiana State University
University of Cincinnati
All sessions were held at Xiandai Huatian Hotel, Changsha.
Welcome statement and brief report about AAP
Prof. Helai Huang · Central South University
Opening statement
Prof. Mohamed Abdel-Aty · University of Central Florida
The Development of ITS in China
Prof. J. Jay Lee · Central South University
Tea Break
Crash Prediction Models for Short-term Durations Considering ATM Strategies
Prof. Mohamed Abdel-Aty · University of Central Florida
Integrating AI and econometric models for real-time crash risk forecasting using traffic conflict techniques
Prof. Shimul Haque · Queensland University of Technology
Lunch
Safety Analysis for Automated Vehicles
Prof. Xuesong Wang · Tongji University
Multi-pronged Approach for Safety of Non-motorized Transport Mode
Dr. Tony Sze · Hong Kong Polytechnic University
Large Language Model Applications in Traffic Safety
Dr. Hanchu Zhou · Central South University
Tea Break
Discussion
Gala Dinner
Machine Learning and Data Science Advances for Road Safety
Prof. Constantinos Antoniou · Technical University of Munich
Shaping the Future of Safety Research with Artificial Intelligence and Advanced Sensing Technologies
Dr. Yuanchang Xie · University of Massachusetts Lowell
Data-informed Evaluation and Future Decision-Making in Transportation
Dr. Anurag Pande · California Polytechnic State University
Tea Break
Preventative Measures to Reduce Pedestrians Crashes on High-speed Arterials
Dr. Hany Hassan · Louisiana State University
Utilization of Artificial Intelligence to Improve Traffic Safety
Dr. Mohamed Ahmed · University of Cincinnati
Safety Analysis based on Non-Crash Data in Developing Countries
Prof. J. Jay Lee · Central South University
Closing Statement
Prof. Helai Huang · Central South University
Group Photo
Lunch
Private session for AAP editorial board members
Editor-in-Chief:
Helai Huang
Accident Analysis & Prevention provides wide coverage of the general areas relating to accidental injury and damage, including the pre-injury and immediate post-injury phases. Published papers deal with medical, legal, economic, educational, behavioral, theoretical or empirical aspects of transportation accidents, as well as with accidents at other sites. Selected topics within the scope of the Journal may include: studies of human, environmental and vehicular factors influencing the occurrence, type and severity of accidents and injury; the design, implementation and evaluation of countermeasures; biomechanics of impact and human tolerance limits to injury; modelling and statistical analysis of accident data; policy, planning and decision-making in safety.
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