Traffic Flow Prediction Using MI Algorithm and Considering Noisy and Data Loss Conditions: An Application to Minnesota Traffic Flow Prediction [PDF]
Promet (Zagreb), 2014 Traffic flow forecasting is useful for controlling traffic flow, traffic lights, and travel times. This study uses a multi-layer perceptron neural network and the mutual information (MI) technique to forecast traffic flow and compares the prediction ...
Seyed Hadi Hosseini +3 more
doaj +2 more sources
Traffic Demand Forecasting for Port Services [PDF]
Promet (Zagreb), 2011 Successful management of any sea port depends primarily on the harmonisation of transport supply and demand, whereas their incompatibility leads to a number of problems. The port, i.e.
Alen Jugović +2 more
doaj +2 more sources
Forecasting Methodology of Maritime Passenger Demand in a Tourist Destination [PDF]
Promet (Zagreb), 2009 Maritime passenger demand forecasting is a task that is almost always present in the development studies of passenger ports, both due to operational and investment requirements.
Davor Krasić, Petra Gatti
doaj +2 more sources
Deep transformer-based heterogeneous spatiotemporal graph learning for geographical traffic forecasting. [PDF]
iScienceAccurate geographical traffic forecasting plays a critical role in urban transportation planning, traffic management, and geospatial artificial intelligence (GeoAI).
Shi G, Luo L, Song Y, Li J, Pan S.
europepmc +2 more sources
Forecasting in airforce supply chains [PDF]
, 2011 Purpose – The UK Chinook helicopter is a utility and attack helicopter being operated by the Royal Air Force (RAF). Its versatile nature is of enormous importance to the strategic capability of the RAF's operations.
Ojiako, Udechukwu +3 more
core +5 more sources
Short-Term Traffic Flow Forecasting via Multi-Regime Modeling and Ensemble Learning
Applied Sciences, 2020 Short-term traffic flow forecasting is crucial for proactive traffic management and control. One key issue associated with the task is how to properly define and capture the temporal patterns of traffic flow.
Zhenbo Lu +4 more
doaj +1 more source
A Combined Forecasting Model for Satellite Network Self-Similar Traffic
IEEE Access, 2019 Since satellite network traffic is self-similar and long-range-dependent (LRD), after analyzing current network traffic forecasting models, a satellite network traffic combined forecasting model that is based on the decomposition fruit fly optimization ...
Yuxia Bie, Longzi Wang, Ye Tian, Zhi Hu
doaj +1 more source
IEEE Access, 2022 Accurate traffic speed forecasting not only can help traffic management departments make better judgments and improve the efficacy of road monitoring but also can help drivers plan their driving routes and arrive safely and smoothly at their destination.
Yacong Gao +4 more
doaj +1 more source
The Relationship Between Traffic Flow Forecasting and Traffic Accident Forecasting and the Possible Combination Points [PDF]
ITM Web of ConferencesThis paper mainly studies the relationship between traffic flow forecasting and traffic accident forecasting and the possible combination points.
Wu Haoyu
doaj +1 more source
PSO-ELM: A Hybrid Learning Model for Short-Term Traffic Flow Forecasting
IEEE Access, 2020 Accurate and reliable traffic flow forecasting is of importance for urban planning and mitigation of traffic congestion, and it is also the basis for the deployment of intelligent traffic management systems.
Weihong Cai +5 more
doaj +1 more source