Titlebook: Laser Scanning Systems in Highway and Safety Assessment; Analysis of Highway Biswajeet Pradhan,Maher Ibrahim Sameen Textbook 2020 Springer

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Laser Scanning Technologies in Road Geometry Modeling provided rapid and cost-effective data acquisition for road corridors and surrounding areas (Guan et al. .; Li et al. .; Li and He .; Lin et al. .). Several methods have been proposed for the delineation of geometric road information from laser scanning data. Road geometric information includes roa

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Effect of Roadside Features on Injury Severity of Traffic Accidentsion systems less safe than they should be. Among these issues are rapid urbanisation over various landscape forms, population growth and migration of people from rural to urban areas. Other challenges include lack of technical tools that can support road safety managers to efficiently simulate futur

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Novel GIS-Based Model for Automatic Identification of Road Geometry in Vector Datation, and site selection and ranking. In accident analysis, drivers are influenced by road geometry. They adapt their way of driving based on their perceptions, driving ability and accumulated experience in segments they have covered yet. In a few road safety applications, road geometry is updated t

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Review of Traffic Accident Predictions with Neural Networks the whole network of transportation is much difficult than on a single road. The main purpose of this effort is to provide a better route with high safety level and support the traffic managers in managing road network efficiently.

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Modeling Traffic Accident Severity Using Neural Networks and Support Vector Machinesnjuries due to traffic accidents greatly affect the society. These insights call for investigating various aspects of traffic accident data analysis and modeling in numerous geographic regions (Sameen and Pradhan ., ., .; Sameen et al. .). In particular, several researchers paid increasing attention

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Textbook 2020he details of neural networks and their performance in predicting the traffic accidents along with a comparison with common data mining models. Chapter 10 presents a novel hybrid model combining extreme gradient boosting and deep neural networks for predicting injury severity of road traffic acciden

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