大葉大學圖書館 |

Highway travel time estimation with data fusion[electronic resource] /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
杜威分類號:	629.04
書名/作者:	Highway travel time estimation with data fusion/ by Francesc Soriguera Marti.
作者:	Marti, Francesc Soriguera.
出版者:	Berlin, Heidelberg : : Springer Berlin Heidelberg :, 2016.
面頁冊數:	xviii, 212 p. : : ill., digital ;; 24 cm.
Contained By:	Springer eBooks
標題:	Transportation engineering.
標題:	Engineering.
標題:	Artificial intelligence.
標題:	Computational intelligence.
標題:	Traffic engineering.
標題:	Urban economics.
標題:	Transportation Technology and Traffic Engineering.
標題:	Computational Intelligence.
標題:	Artificial Intelligence (incl. Robotics)
標題:	Urban Economics.
ISBN:	9783662488584
ISBN:	9783662488560
內容註:	Highway Travel Time Information Systems: A Review -- Travel Time Definitions -- Accuracy of Travel Time Estimation Methods Based on Punctual Speed Interpolations -- Design of Spot Speed Methods for Real-Time Provision of Traffic Information -- Highway Travel Time Measurement from Toll Ticket Data -- Short-term Prediction of Highway Travel Time Using Multiple Data Sources -- Value of Highway Information Systems.
摘要、提要註:	This monograph presents a simple, innovative approach for the measurement and short-term prediction of highway travel times based on the fusion of inductive loop detector and toll ticket data. The methodology is generic and not technologically captive, allowing it to be easily generalized for other equivalent types of data. The book shows how Bayesian analysis can be used to obtain fused estimates that are more reliable than the original inputs, overcoming some of the drawbacks of travel-time estimations based on unique data sources. The developed methodology adds value and obtains the maximum (in terms of travel time estimation) from the available data, without recurrent and costly requirements for additional data. The application of the algorithms to empirical testing in the AP-7 toll highway in Barcelona proves that it is possible to develop an accurate real-time, travel-time information system on closed-toll highways with the existing surveillance equipment, suggesting that highway operators might provide their customers with such an added value with little additional investment in technology.
電子資源:	http://dx.doi.org/10.1007/978-3-662-48858-4

Highway travel time estimation with data fusion[electronic resource] /
Marti, Francesc Soriguera.

Highway travel time estimation with data fusion[electronic resource] /by Francesc Soriguera Marti. - Berlin, Heidelberg :Springer Berlin Heidelberg :2016. - xviii, 212 p. :ill., digital ;24 cm. - Springer tracts on transportation and traffic,v.112194-8119 ;. - Springer tracts on transportation and traffic ;v.6..

Highway Travel Time Information Systems: A Review -- Travel Time Definitions -- Accuracy of Travel Time Estimation Methods Based on Punctual Speed Interpolations -- Design of Spot Speed Methods for Real-Time Provision of Traffic Information -- Highway Travel Time Measurement from Toll Ticket Data -- Short-term Prediction of Highway Travel Time Using Multiple Data Sources -- Value of Highway Information Systems.

This monograph presents a simple, innovative approach for the measurement and short-term prediction of highway travel times based on the fusion of inductive loop detector and toll ticket data. The methodology is generic and not technologically captive, allowing it to be easily generalized for other equivalent types of data. The book shows how Bayesian analysis can be used to obtain fused estimates that are more reliable than the original inputs, overcoming some of the drawbacks of travel-time estimations based on unique data sources. The developed methodology adds value and obtains the maximum (in terms of travel time estimation) from the available data, without recurrent and costly requirements for additional data. The application of the algorithms to empirical testing in the AP-7 toll highway in Barcelona proves that it is possible to develop an accurate real-time, travel-time information system on closed-toll highways with the existing surveillance equipment, suggesting that highway operators might provide their customers with such an added value with little additional investment in technology.

ISBN: 9783662488584

Standard No.: 10.1007/978-3-662-48858-4doiSubjects--Topical Terms:

559161
Transportation engineering.

LC Class. No.: TA1147

Dewey Class. No.: 629.04

Highway travel time estimation with data fusion[electronic resource] /
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520 $a This monograph presents a simple, innovative approach for the measurement and short-term prediction of highway travel times based on the fusion of inductive loop detector and toll ticket data. The methodology is generic and not technologically captive, allowing it to be easily generalized for other equivalent types of data. The book shows how Bayesian analysis can be used to obtain fused estimates that are more reliable than the original inputs, overcoming some of the drawbacks of travel-time estimations based on unique data sources. The developed methodology adds value and obtains the maximum (in terms of travel time estimation) from the available data, without recurrent and costly requirements for additional data. The application of the algorithms to empirical testing in the AP-7 toll highway in Barcelona proves that it is possible to develop an accurate real-time, travel-time information system on closed-toll highways with the existing surveillance equipment, suggesting that highway operators might provide their customers with such an added value with little additional investment in technology.
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