Sökning: "Accident Prediction Models"

Visar resultat 1 - 5 av 8 uppsatser innehållade orden Accident Prediction Models.

1. 1. Deep Learning-Based Approach for Fusing Satellite Imagery and Historical Data for Advanced Traffic Accident Severity

   Master-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

   Författare :Gowtham Kumar Sandaka; Praveen Kumar Madhamsetty; [2023]
   Nyckelord :Traffic accidents; Satellite imagery; Logistic Regression; Random Forest; SVC; VGG19; hybrid model; CNN; self-driving cars; best-performing algorithm; literature review;

   Sammanfattning : Background. This research centers on tackling the serious global problem of trafficaccidents. With more than a million deaths each year and numerous injuries, it’svital to predict and prevent these accidents. LÄS MER

3. 2. Road-traffic accident prediction model : Predicting the Number of Casualties

   Master-uppsats, Högskolan i Skövde/Institutionen för informationsteknologi

   Författare :Jemal Ahmed Andeta; [2021]
   Nyckelord :Road traffic accident; Accident Casualties; Gradient Boosting; Extreme Learning Machines; Prediction Interval;

   Sammanfattning : Efficient and effective road traffic prediction and management techniques are crucial in intelligent transportation systems. It can positively influence road advancement, safety enhancement, regulation formulation, and route planning to save living things in advance from road traffic accidents. LÄS MER

4. 3. Arm Injury Prediction with THUMS SAFER: Improvements of the THUMS SAFER upper extremity

   Master-uppsats, KTH/Hållfasthetslära; KTH/Lättkonstruktioner

   Författare :Mariam Bayat; Nichakarn Pongpairote; [2020]
   Nyckelord :Biomechanics; upper extremity; arm; validation; Total HUman Model for Saftey THUMS ; Finite Element Modelling FEM ; Biomekanik; övre extremitet; arm; validering; Total HUman Model for Saftey THUMS ; Finite Element Modellering FEM ;

   Sammanfattning : Globally, approximately 1.2 million people die each year due to traffic accidents. Upper extremity injuries account for 18% to 25% of all car accident injuries. In order to be able to analyze these crash-related injuries, Human body models(HBMs) are used as a complement to FE simulations. LÄS MER

5. 4. Application of Road Infrastructure Safety Assessment Methods at Intersections

   Master-uppsats, Linköpings universitet/Kommunikations- och transportsystem; Linköpings universitet/Tekniska högskolan

   Författare :Adeyemi Adedokun; [2016]
   Nyckelord :Accident Prediction Models; Black Spot Management; Intersections; PTV Visum Safety; STRADA; Street-Audit; Traffic Safety;

   Sammanfattning : Traffic safety at intersections is a particularly difficult phenomenon to study, given the fact that accidents occur randomly in time and space thereby making short-term measurement, assessment and comparison difficult. The EU directive 2008/96/EC introduced road infrastructure safety management, which offers a five layer structure for developing safer road infrastructure has been used to develop tools for accident prediction and black spot management analysis which has been applied in this work to assess the safety level of intersections in Norrköping city in Sweden. LÄS MER

7. 5. Tool And Algorithms for Rapid Source Term Prediction (RASTEP) Based on Bayesian Belief Networks

   Master-uppsats, Uppsala universitet/Institutionen för informationsteknologi

   Författare :Prerna Agrawal; [2015]
   Nyckelord :;

   Sammanfattning : In case of an accident in a nuclear power plant (NPP), the fast and cor-rect identification of the NPP state that would give a prediction of a possible radioactive release presents a major challenge to both nuclear power plants and regulators. Such prediction is important so that correct and timely decisions and measures are taken to mitigate accident consequences, such as evacuation of people from areas around the power plant. LÄS MER