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دانلود کتاب Highway Travel Time Estimation With Data Fusion

دانلود کتاب Highway Travel Time Estimation With Data Fusion

برآورد زمان سفر در بزرگراه با داده های تلفیقی

دانلود کتاب Highway Travel Time Estimation With Data Fusion

Springer Tracts on Transportation and Traffic
Volume 11
Series editor
Roger P. Roess, New York University Polytechnic School of Engineering,
New York, USA
e-mail: rpr246@nyu.edu

About this Series
The book series “Springer Tracts on Transportation and Traffic” (STTT) publishes
current and historical insights and new developments in the fields of Transportation
and Traffic research. The intent is to cover all the technical contents, applications,
and multidisciplinary aspects of Transportation and Traffic, as well as the methodologies
behind them. The objective of the book series is to publish monographs,
handbooks, selected contributions from specialized conferences and workshops,
and textbooks, rapidly and informally but with a high quality. The STTT book
series is intended to cover both the state-of-the-art and recent developments, hence
leading to deeper insight and understanding in Transportation and Traffic
Engineering. The series provides valuable references for researchers, engineering
practitioners, graduate students and communicates new findings to a large
interdisciplinary audience.
More information about this series at http://www.springer.com/series/11059

Highway Travel Time
Estimation With Data Fusion

Overview
In the present context of restraint in the construction of new infrastructures due to
territorial, environmental, and economical restrictions, and given the big bang of
mobility in the last decades in all sectors, the transportation system management
acquires a fundamental role as an optimizer of the available resources. This requires
the application of new policies addressed to achieve two main objectives:
sustainability and competitiveness.

Mobility management is the big issue. The information technologies and communications
are the tools. It is therefore needed a management system that links
these objectives with these available tools. This management system should be
based on quantitative traffic information in real time. Travel time and its reliability
stand out as key factors in traffic management systems, as they are the best indicators
of the level of service in a road link and perhaps the most important variable
for measuring congestion. In addition, travel time is the best and most appreciated
traffic information for road users as it plays a fundamental role in the traveler
planning process (travel or not travel, best time to travel, route and mode choice…).
At the same time, highway travel time measurement and quantitative forecasting in
congested conditions pose a striking methodological challenge

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