A Gaussian Mixture Model and Data Fusion Approach for Urban Travel Time Forecast

2021 7th International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS)(2021)

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摘要
Travel time information is gaining increasing importance as traffic performance measure from the perspective of both drivers to understand traffic conditions and network management to properly monitor and control the evolution of traffic conditions. Aiming at forecasting path travel times in congested urban areas, this paper proposes a data- driven approach in which traffic data are collected via ...
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关键词
Urban areas,Data integration,Predictive models,Gain measurement,Time measurement,Real-time systems,Data models
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