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InfoSys 2025 Congress March 09, 2025 to March 13, 2025 - Lisbon, Portugal
- ICNS 2025, The Twenty-Second International Conference on Networking and Services
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- ENERGY 2025, The Fifteenth International Conference on Smart Grids, Green Communications and IT Energy-aware Technologies
- WEB 2025, The Thirteenth International Conference on Building and Exploring Web Based Environments
- DBKDA 2025, The Seventeenth International Conference on Advances in Databases, Knowledge, and Data Applications
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InfoWare 2025 Congress March 09, 2025 to March 13, 2025 - Lisbon, Portugal
- ICCGI 2025, The Twentieth International Multi-Conference on Computing in the Global Information Technology
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DataSys 2025 Congress April 06, 2025 to April 10, 2025 - Valencia, Spain
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ComputationWorld 2025 Congress April 06, 2025 to April 10, 2025 - Valencia, Spain
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NexComm 2025 Congress May 18, 2025 to May 22, 2025 - Nice, France
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DigitalWorld 2025 Congress May 18, 2025 to May 22, 2025 - Nice, France
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IARIA Congress 2025, The 2025 IARIA Annual Congress on Frontiers in Science, Technology, Services, and Applications July 06, 2025 to July 10, 2025 - Athens, Greece
DigiTech 2025 Congress July 06, 2025 to July 10, 2025 - Athens, Greece
- DIGITAL 2025, Advances on Societal Digital Transformation
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NexTech 2025 Congress September 28, 2025 to October 02, 2025 - Lisbon, Portugal
- UBICOMM 2025, The Nineteenth International Conference on Mobile Ubiquitous Computing, Systems, Services and Technologies
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SoftNet 2025 Congress September 28, 2025 to October 02, 2025 - Lisbon, Portugal
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- VALID 2025, The Seventeenth International Conference on Advances in System Testing and Validation Lifecycle
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SocSys 2025 Congress October 26, 2025 to October 30, 2025 - Barcelona, Spain
NetWare 2025 Congress October 26, 2025 to October 30, 2025 - Barcelona, Spain
- SENSORCOMM 2025, The Nineteenth International Conference on Sensor Technologies and Applications
- SENSORDEVICES 2025, The Sixteenth International Conference on Sensor Device Technologies and Applications
- SECURWARE 2025, The Nineteenth International Conference on Emerging Security Information, Systems and Technologies
- AFIN 2025, The Seventeenth International Conference on Advances in Future Internet
- CENICS 2025, The Eighteenth International Conference on Advances in Circuits, Electronics and Micro-electronics
- ICQNM 2025, The Nineteenth International Conference on Quantum, Nano/Bio, and Micro Technologies
- FASSI 2025, The Eleventh International Conference on Fundamentals and Advances in Software Systems Integration
- GREEN 2025, The Tenth International Conference on Green Communications, Computing and Technologies
- HEALTHINFO 2025, The Tenth International Conference on Informatics and Assistive Technologies for Health-Care, Medical Support and Wellbeing
TechWorld 2025 Congress October 26, 2025 to October 30, 2025 - Barcelona, Spain
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ThinkMind // SMART 2023, The Twelfth International Conference on Smart Cities, Systems, Devices and Technologies // View article smart_2023_1_60_40032
Hotspot Prediction of Severe Traffic Accidents in the Federal District of Brazil
Authors: Vinicius Lima Vetria Byrd Keywords: traffic accident; machine learning; forensic sciences; accident reconstruction; hotspots. Abstract: Traffic accidents are one of the biggest challenges in a society where commuting is so important. What triggers an accident can be dependent on several subjective parameters and varies within each region, city, or country. In the same way, it is important to understand those parameters in order to provide a knowledge basis to support decisions regarding future cases prevention. The literature presents several works where machine learning algorithms are used for prediction of accidents or severity of accidents, in which city-level datasets were used as evaluation studies. This work attempts to add to the diversity of research, by focusing mainly on concentration of accidents and how machine learning can be used to predict hotspots. This approach demonstrated to be a useful technique for authorities to understand nuances of accident concentration behavior. For the first time, data from the Federal District of Brazil collected from forensic traffic accident analysts were used and combined with data from local weather conditions to predict hotspots of collisions. Out of the five algorithms we considered, two had good performance: Multi-layer Perceptron and Random Forest, with the latter being the best one at 98% accuracy. As a result, we identify that weather parameters are not as important as the accident location, demonstrating that local intervention is important to reduce the number of accidents. Pages: 26 to 31 Copyright: Copyright (c) IARIA, 2023 Publication date: June 26, 2023 Published in: conference ISSN: 2308-3727 ISBN: 978-1-68558-071-1 Location: Nice, France Dates: from June 26, 2023 to June 30, 2023
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