By Francesc Soriguera Martí
This monograph offers an easy, cutting edge technique for the size and non permanent prediction of road trip instances in response to the fusion of inductive loop detector and toll price tag info. The method is customary and never technologically captive, permitting it to be simply generalized for different identical different types of info. The ebook exhibits how Bayesian research can be utilized to acquire fused estimates which are extra trustworthy than the unique inputs, overcoming many of the drawbacks of travel-time estimations according to specified facts assets. The built method provides price and obtains the utmost (in phrases of commute time estimation) from the to be had information, with no recurrent and expensive specifications for added facts. the appliance of the algorithms to empirical checking out within the AP-7 toll street in Barcelona proves that it really is attainable to improve a correct real-time, travel-time details approach on closed-toll highways with the prevailing surveillance apparatus, suggesting that street operators could offer their clients with such an further worth with little extra funding in technology.
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Extra info for Highway Travel Time Estimation With Data Fusion
Despite all these uncertainties, what actually could and should (at least) be told to the driver is “The current travel time to your destination is … minutes”. This is not his desired information, but at least it is certain (it corresponds to the last travel time measurement), and by sure it is better than unreliable predictions. What can be concluded from the previous discussion is: • Last updated travel time measurement is the best information that can disseminated on real time without falling in the uncertainties of forecasting.
For instance, from the author knowledge, contributions are not found in the literature analyzing in detail the problematic detector drift phenomenon, which accumulate in the input/output curves until they become meaningless. The effects of inner section input/output flows at junctions are not treated either. These issues remain for further research. 2 Travel Time Measurement 15 Legend Single loop detector Fig. 3 Loop Detectors and Travel Times: Summary The main conclusion of this section is that there is only one beneﬁt of using loop detector data to compute travel times.
In fact, the previous message could be further modiﬁed to quantify this uncertainty. An option could be “There is a 90 % probability for the travel time to your destination being between … and … minutes”. The conﬁdence level could be avoided for marketing options, but the conﬁdence interval could be kept as important information. One hundred percent conﬁdence in the information cannot be guaranteed and still provide informative conﬁdence intervals. g. vehicle breakdowns, accidents…). By deﬁnition, non-recurrent events are those that cannot be anticipated, and therefore can only be taken into account once they have happened and become actual information.