Essays about: "traffic prediction"
Showing result 1 - 5 of 122 essays containing the words traffic prediction.
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1. Forecasting With Feature-Based Time Series Clustering
University essay from Jönköping University/Tekniska HögskolanAbstract : Time series prediction plays a pivotal role in various areas, including for example finance, weather forecasting, and traffic analysis. In this study, time series of historical sales data from a packaging manufacturer is used to investigate the effects that clustering such data has on forecasting performance. READ MORE
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2. Risk Analysis and Cybersecurity Implementation for UTM : Implemented in UTM50
University essay from Linköpings universitet/Institutionen för datavetenskapAbstract : With the increasing usage of Unmanned Aerial Vehicle (UAV)s and the prediction of becoming applicable to more industries within the next decade there is a need for a controlling authority in the lower airspace. An Unmanned Aircraft System Traffic Man- agement (UTM) provides multiple solutions to how such a system should operate and what services it should provide. READ MORE
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3. Condition-based Estimation of Ambulance Travel Times
University essay from Malmö universitet/Fakulteten för teknik och samhälle (TS)Abstract : Travel time estimation can be used in strategical distribution of ambulances and ambulance stations. A more accurate travel time estimation can lead to a better distribution of these ambulance sites. External factors such as weather and traffic conditions can affect the travel time from a starting location to a destination. READ MORE
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4. Data-Driven Traffic Forecasting for Completed Vehicle Simulation: : A Case Study with Volvo Test Trucks
University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknikAbstract : This thesis offers a thorough investigation into the application of machine learning algorithms for predicting the presence of vehicles in a traffic setting. The research primarily focuses on enhancing vehicle simulation by employing data-driven traffic prediction methods. The study approaches the problem as a binary classification task. READ MORE
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5. Deep Learning-Based Approach for Fusing Satellite Imagery and Historical Data for Advanced Traffic Accident Severity
University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskapAbstract : 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. READ MORE