Add to ORKGTraffic forecasting plays a key role in mitigating traffic congestion in urban areas. The main objective of this master thesis is to perform traffic forecasting in urban contexts by developing machine learning models trained with simulated Floating Car Data
Traffic management is being more important than ever, especially in overcrowded big cities with over...
This thesis explores ways to improve the self-organised urban traffic management system Organic Traf...
This thesis explores ways to improve the self-organised urban traffic management system Organic Traf...
Traffic forecasting plays a key role in mitigating traffic congestion in urban areas. The main objec...
Traffic forecasting plays a key role in mitigating traffic congestion in urban areas. The main objec...
This article presents novel approaches to automatically learn the best combination of forecasts comp...
This article presents novel approaches to automatically learn the best combination of forecasts comp...
This article presents novel approaches to automatically learn the best combination of forecasts comp...
This study attempts to develop a model that forecasts precise data on traffic flow. Everything that ...
This study attempts to develop a model that forecasts precise data on traffic flow. Everything that ...
The Intelligent transportation system is essential to build smarter cities. Machine learning based t...
This paper, titled "Revolutionizing Urban Mobility," focuses on data-driven traffic forecasting and ...
Traffic management is being more important than ever, especially in overcrowded big cities with over...
For the past few years, as the Intelligent Transportation System (ITS) developing rapidly, intellige...
The future of smart city traffic forecasting is two-way communication between residents and the city...
Traffic management is being more important than ever, especially in overcrowded big cities with over...
This thesis explores ways to improve the self-organised urban traffic management system Organic Traf...
This thesis explores ways to improve the self-organised urban traffic management system Organic Traf...
Traffic forecasting plays a key role in mitigating traffic congestion in urban areas. The main objec...
Traffic forecasting plays a key role in mitigating traffic congestion in urban areas. The main objec...
This article presents novel approaches to automatically learn the best combination of forecasts comp...
This article presents novel approaches to automatically learn the best combination of forecasts comp...
This article presents novel approaches to automatically learn the best combination of forecasts comp...
This study attempts to develop a model that forecasts precise data on traffic flow. Everything that ...
This study attempts to develop a model that forecasts precise data on traffic flow. Everything that ...
The Intelligent transportation system is essential to build smarter cities. Machine learning based t...
This paper, titled "Revolutionizing Urban Mobility," focuses on data-driven traffic forecasting and ...
Traffic management is being more important than ever, especially in overcrowded big cities with over...
For the past few years, as the Intelligent Transportation System (ITS) developing rapidly, intellige...
The future of smart city traffic forecasting is two-way communication between residents and the city...
Traffic management is being more important than ever, especially in overcrowded big cities with over...
This thesis explores ways to improve the self-organised urban traffic management system Organic Traf...
This thesis explores ways to improve the self-organised urban traffic management system Organic Traf...