Monitoring Urban Travel
Author: William Louis Garrison
Publisher:
Published: 1966
Total Pages: 318
ISBN-13:
DOWNLOAD EBOOKRead and Download eBook Full
Author: William Louis Garrison
Publisher:
Published: 1966
Total Pages: 318
ISBN-13:
DOWNLOAD EBOOKAuthor:
Publisher:
Published: 1981
Total Pages: 30
ISBN-13:
DOWNLOAD EBOOKAuthor: National Cooperative Highway Research Program Staff
Publisher:
Published:
Total Pages: 298
ISBN-13: 9780598462565
DOWNLOAD EBOOKAuthor: European Conference of Ministers of Transport
Publisher: OECD Publishing
Published: 2002-02-14
Total Pages: 27
ISBN-13: 9264033947
DOWNLOAD EBOOKThis booklet sets out recommendations to Governments on Implementing Sustainable Urban Travel Policies.
Author:
Publisher:
Published: 2015
Total Pages:
ISBN-13:
DOWNLOAD EBOOKAuthor: Arlee T. Reno
Publisher: Transportation Research Board
Published: 2002
Total Pages: 13
ISBN-13: 0309067189
DOWNLOAD EBOOKIntroduction -- Survey characteristics -- Demographic information -- Overall trip rates -- Modal trip rates -- Trip purpose -- Time -- Truck trip information -- Utilization -- Other information.
Author: Dr Stefan Schönfelder
Publisher: Ashgate Publishing, Ltd.
Published: 2012-11-28
Total Pages: 252
ISBN-13: 1409488497
DOWNLOAD EBOOKThe recent availability of longitudinal data on individual trip making and activity behaviour has provided analysts with new insights into the structures and motives of daily life travel. Multi-week travel diary data-sets and GPS observations are exciting sources of information for the description and modelling of the variability of individual travel patterns. Through an analysis of these strong new data sets, this book questions what are the most suitable methodological tools to represent the structures of long-term travel behaviour. It also examines what the data tells us about the travellers' motives and looks at how planning should translate the findings into forecasting tools and transport strategies. In doing so, the multifaceted and ambiguous character of daily life travel is revealed, illustrating how, while sound routines in time and space seem to dominate daily life, individuals show a considerable amount of variability and flexibility in travel and activity behaviour.
Author: George F. List, Billy Williams, and Nagui Rouphail, Rob Hranac, Tiffany Barkley, Eric Mai, and Armand Ciccarelli, Lee Rodegerdts, Katie Pincus, and Brandon Nevers, Alan F. Karr, Xuesong Zhou, Jeffrey Wojtowicz, Joseph Schofer, and Asad Khattak
Publisher: Transportation Research Board
Published:
Total Pages: 205
ISBN-13: 0309274257
DOWNLOAD EBOOKThis report from the second Strategic Highway Research Program (SHRP 2), which is administered by the Transportation Research Board of the National Academies, defines reliability and describes the research to improve the reliability of highway travel times by mitigating the effects of events that cause unpredictable, fluctuating travel times.
Author: United States. Congress. House
Publisher:
Published: 1969
Total Pages: 1560
ISBN-13:
DOWNLOAD EBOOKAuthor: Zhidan Liu
Publisher: Springer Nature
Published: 2021-05-18
Total Pages: 75
ISBN-13: 9811622418
DOWNLOAD EBOOKThis book introduces the concepts of mobility data and data-driven urban traffic monitoring. A typical framework of mobility data-based urban traffic monitoring is also presented, and it describes the processes of mobility data collection, data processing, traffic modelling, and some practical issues of applying the models for urban traffic monitoring. This book presents three novel mobility data-driven urban traffic monitoring approaches. First, to attack the challenge of mobility data sparsity, the authors propose a compressive sensing-based urban traffic monitoring approach. This solution mines the traffic correlation at the road network scale and exploits the compressive sensing theory to recover traffic conditions of the whole road network from sparse traffic samplings. Second, the authors have compared the traffic estimation performances between linear and nonlinear traffic correlation models and proposed a dynamical non-linear traffic correlation modelling-based urban traffic monitoring approach. To address the challenge of involved huge computation overheads, the approach adapts the traffic modelling and estimations tasks to Apache Spark, a popular parallel computing framework. Third, in addition to mobility data collected by the public transit systems, the authors present a crowdsensing-based urban traffic monitoring approach. The proposal exploits the lightweight mobility data collected from participatory bus riders to recover traffic statuses through careful data processing and analysis. Last but not the least, the book points out some future research directions, which can further improve the accuracy and efficiency of mobility data-driven urban traffic monitoring at large scale. This book targets researchers, computer scientists, and engineers, who are interested in the research areas of intelligent transportation systems (ITS), urban computing, big data analytic, and Internet of Things (IoT). Advanced level students studying these topics benefit from this book as well.