By Francesc Soriguera Martí
This monograph offers an easy, leading edge procedure for the size and momentary prediction of street trip instances according to the fusion of inductive loop detector and toll price tag info. The technique is standard and never technologically captive, permitting it to be simply generalized for different similar forms of information. The publication exhibits how Bayesian research can be utilized to procure fused estimates which are extra trustworthy than the unique inputs, overcoming a number of the drawbacks of travel-time estimations in accordance with distinct info resources. The constructed technique provides price and obtains the utmost (in phrases of go back and forth time estimation) from the to be had facts, with out recurrent and dear standards for added info. the applying of the algorithms to empirical trying out within the AP-7 toll road in Barcelona proves that it's attainable to advance a correct real-time, travel-time details approach on closed-toll highways with the prevailing surveillance gear, suggesting that road operators may supply their buyers with such an additional worth with little extra funding in technology.
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This monograph provides an easy, cutting edge strategy for the size and temporary prediction of street trip occasions in keeping with the fusion of inductive loop detector and toll price ticket information. The technique is prevalent and never technologically captive, permitting it to be simply generalized for different an identical varieties of information.
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Extra info for Highway Travel Time Estimation With Data Fusion
An interesting point here is that the number is national but information is local. Dynamic vehicle guidance and navigation services which include real time trafﬁc data is at an early stage of development. However the integration of a status quo within the transport systems is essential to provide reliable travel time information. Further development is necessary in order to tap the full potential. This especially includes the cooperation of different players in the transport system, such as road administrations on various levels as well as public and private transport service providers.
They need an empirical construction of the probability density functions and of the conditional probabilities. These may impose severe restrictions to the method in complex problems. 2. Evidential logic: Mainly represented by the evidential theory of Dempster— Shafer, which allows to include the conﬁdence given to the probability of a particular event. It is useful in those situations where the probability density functions cannot be considered as correctly measured, but only approximated. A level of credibility is given to these functions and the ignorance can be explicitly considered.
1994). More recently the research interest is focused on neural network models and artiﬁcial intelligence (Dia 2001; Dougherty and Cobbett 1997). Between them, data fusion schemes also appear as an alternative. This approach is treated in more detail in the next section, as it is the approach used in Chap. 6 contribution. 1 Data Fusion Schemes Multiple source Data Fusion (DF) consists in the combined use of multidisciplinary techniques, analogous to the cognitive process in humans, with the objective of reaching a conclusion in relation to some aspect of reality which allows taking a decision.