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Gazing Into the Future Inrix Traffic was the only app I tried that offered traffic predictions.
Their findings, to appear later this month in Physical Review Letters, could lead to more accurate highway traffic predictions.
Methods for propagation of traffic predictions towards their destinations are also defined.
The latest traffic predictions by CISCO support the aggressive traffic model, with predictions foreseeing a growth by a factor of 26 between 2010 and 2015 [16].
The paper deals with the adjustment of time-dependent Origin destination (O-D) demand matrix, which is the fundamental input of ITS application for traffic predictions.
Special emphasis is posed on the analysis of the underlying data models we defined to handle massive dataset for providing vehicular traffic predictions.
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In order to evaluate the performance of the proposed urban traffic prediction models, we implement the models to predict traffic amount in Cologne, Germany.
This paper proposes a new dynamic satellite bandwidth allocation technique (Predictive Resource Reservation Access, PRRA) which is based on accurate videoconference traffic prediction.
The experimental evaluations show that this method is effective for predictive complex event processing and it outperforms other popular methods when processing traffic prediction in intelligent transportation systems.
One possible example would be using its online mapping and traffic prediction software, called Clearflow, in future versions of Microsoft Auto.
This approach is practical for general traffic prediction only when there are many such vehicles in the area, relaying information every 10 seconds or so.
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