Statistical Models to Estimate Bus Travel-time PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Statistical Models to Estimate Bus Travel-time PDF full book. Access full book title Statistical Models to Estimate Bus Travel-time by Yashaswi Kotagiri. Download full books in PDF and EPUB format.
Author: Yashaswi Kotagiri Publisher: ISBN: Category : Languages : en Pages : 96
Book Description
models are based on free flow travel-time, travel-time based on the Bureau of Public Roads (BPR) equation (default parameters) and travel-time based on BPR equation (local parameters from regional transportation network model).Automatic Vehicle Location (AVL) data obtained from Charlotte Area Transit System (CATS) in the City of Charlotte, North Carolina are used to study the relationship and develop models using regression analysis. The difference in the actual travel-time and estimated travel-time of each route between selected time points (bus-stops) is considered as the delay in bus travel-time.The results obtained can be used to estimate travel-time and quantify the effects of influential road network, bus route and traffic characteristics on travel-time of buses. Upon testing these models on 7 links that have not been included in the modeling process, it was determined that travel-time per mile models are able to estimate travel-time with greater accuracy than the delay in bus travel-time models. That being said the delay in bus travel-time models have been able to quantify the effects of various road network characteristics on travel-time. These findings are very helpful to plan bus routes in the future or alter existing bus routes with more efficient use of traveler's time.Overall, the models developed could be proactively used to quantify the relation between bus travel-time and selected explanatory variables. The outcomes from this thesis could be helpful in identifying suitable countermeasures to improve schedule adherence.
Author: Yashaswi Kotagiri Publisher: ISBN: Category : Languages : en Pages : 96
Book Description
models are based on free flow travel-time, travel-time based on the Bureau of Public Roads (BPR) equation (default parameters) and travel-time based on BPR equation (local parameters from regional transportation network model).Automatic Vehicle Location (AVL) data obtained from Charlotte Area Transit System (CATS) in the City of Charlotte, North Carolina are used to study the relationship and develop models using regression analysis. The difference in the actual travel-time and estimated travel-time of each route between selected time points (bus-stops) is considered as the delay in bus travel-time.The results obtained can be used to estimate travel-time and quantify the effects of influential road network, bus route and traffic characteristics on travel-time of buses. Upon testing these models on 7 links that have not been included in the modeling process, it was determined that travel-time per mile models are able to estimate travel-time with greater accuracy than the delay in bus travel-time models. That being said the delay in bus travel-time models have been able to quantify the effects of various road network characteristics on travel-time. These findings are very helpful to plan bus routes in the future or alter existing bus routes with more efficient use of traveler's time.Overall, the models developed could be proactively used to quantify the relation between bus travel-time and selected explanatory variables. The outcomes from this thesis could be helpful in identifying suitable countermeasures to improve schedule adherence.
Author: Brian W. Sloboda Publisher: J. Ross Publishing ISBN: 160427008X Category : Business & Economics Languages : en Pages : 321
Book Description
In recent years, transportation systems have been judged on performance-based outcomes, thus, quantitative methods have become increasingly important to such assessments. This definitive reference will equip you with state-of-the-art statistical tools used in transportation modeling, how to interpret results and analyze the implications of those results.
Author: Wael A. Altabey Publisher: CRC Press ISBN: 104013209X Category : Technology & Engineering Languages : en Pages : 228
Book Description
As transport networks become more congested, there is a growing need to adopt policies that manage demand and make full use of existing assets. Advances in information technology are now such that intelligent transportation systems (ITS) offer real potential to meet this challenge by monitoring current conditions, predicting what might happen in the future, and providing the means to manage transport proactively and on an area-wide basis. Modeling and Simulation of Intelligent Transportation Systems provides engineers, professionals, and researchers an intuitive appreciation for ITS theory, related sensor technologies, and other practical applications, including traffic management, safety, design optimization, and sustainability. Provides the theory and practical applications of Intelligent Transport Theory which will be helpful as highway construction recedes as a sustainable long-term solution. Includes several case studies that illustrate the concepts presented throughout.
Author: Simon Washington Publisher: CRC Press ISBN: 0429520751 Category : Technology & Engineering Languages : en Pages : 496
Book Description
The book's website (with databases and other support materials) can be accessed here. Praise for the Second Edition: The second edition introduces an especially broad set of statistical methods ... As a lecturer in both transportation and marketing research, I find this book an excellent textbook for advanced undergraduate, Master’s and Ph.D. students, covering topics from simple descriptive statistics to complex Bayesian models. ... It is one of the few books that cover an extensive set of statistical methods needed for data analysis in transportation. The book offers a wealth of examples from the transportation field. —The American Statistician Statistical and Econometric Methods for Transportation Data Analysis, Third Edition offers an expansion over the first and second editions in response to the recent methodological advancements in the fields of econometrics and statistics and to provide an increasing range of examples and corresponding data sets. It describes and illustrates some of the statistical and econometric tools commonly used in transportation data analysis. It provides a wide breadth of examples and case studies, covering applications in various aspects of transportation planning, engineering, safety, and economics. Ample analytical rigor is provided in each chapter so that fundamental concepts and principles are clear and numerous references are provided for those seeking additional technical details and applications. New to the Third Edition Updated references and improved examples throughout. New sections on random parameters linear regression and ordered probability models including the hierarchical ordered probit model. A new section on random parameters models with heterogeneity in the means and variances of parameter estimates. Multiple new sections on correlated random parameters and correlated grouped random parameters in probit, logit and hazard-based models. A new section discussing the practical aspects of random parameters model estimation. A new chapter on Latent Class Models. A new chapter on Bivariate and Multivariate Dependent Variable Models. Statistical and Econometric Methods for Transportation Data Analysis, Third Edition can serve as a textbook for advanced undergraduate, Masters, and Ph.D. students in transportation-related disciplines including engineering, economics, urban and regional planning, and sociology. The book also serves as a technical reference for researchers and practitioners wishing to examine and understand a broad range of statistical and econometric tools required to study transportation problems.
Author: Brandon Nevers, Kittelson & Associates, Inc. Alan F. Karr, National Institute of Statistical Sciences Xuesong Zhou, University of Utah: Jeffrey Wojtowicz, Rensselaer Polytechnic Institute Joseph Schofer, Northwestern University Asad Khatty, Planitek Transportation Research Board, Publisher: Transportation Research Board ISBN: 0309274524 Category : Languages : en Pages : 936
Book Description
This report from the second Strategic Highway Research Program (SHRP 2), which is administered by the Transportation Research Board of the National Academies, describes how to develop and use a Travel Time Reliability Monitoring System (TTRMS). It explains why such a system is useful, how it helps agencies do a better job of managing network performance, and what a traffic management center (TMC) team needs to do to put a TTRMS in place.
Author: R. Carter Hill Publisher: John Wiley & Sons ISBN: 1118452275 Category : Business & Economics Languages : en Pages : 1808
Book Description
Principles of Econometrics, Fifth Edition, is an introductory book for undergraduate students in economics and finance, as well as first-year graduate students in a variety of fields that include economics, finance, accounting, marketing, public policy, sociology, law, and political science. Students will gain a working knowledge of basic econometrics so they can apply modeling, estimation, inference, and forecasting techniques when working with real-world economic problems. Readers will also gain an understanding of econometrics that allows them to critically evaluate the results of others’ economic research and modeling, and that will serve as a foundation for further study of the field. This new edition of the highly-regarded econometrics text includes major revisions that both reorganize the content and present students with plentiful opportunities to practice what they have read in the form of chapter-end exercises.
Author: M. V. L. R. Anjaneyulu Publisher: Springer Nature ISBN: 981192273X Category : Technology & Engineering Languages : en Pages : 903
Book Description
The book presents the select proceedings of the 8th International Conference on Transportation Systems Engineering and Management (CTSEM 2021). The book covers topics pertaining to three broad areas of transportation engineering, namely Transportation Planning, Traffic Engineering and Pavement Technology. The topics covered include transportation and land use, urban and regional transportation planning, travel behavior modeling, travel demand analysis, forecasting and management, transportation and ICT, public transport planning and management, freight transport, traffic flow modeling and management, highway design and maintenance, capacity and level of service, traffic crashes and safety, ITS and applications, non-motorized transportation, transportation economics and policy, road and parking pricing, pedestrian facilities and safety, road asset management, pavement materials and characterization, pavement design and construction, pavement evaluation and management, transportation infrastructure financing, innovative trends in transportation systems, sustainable transportation, smart cities, resilience of transportation systems and environmental and ecological aspects. This book will be useful for the students, researchers and the professionals in the area of civil engineering, especially transportation and traffic engineering.
Author: Yashaswi Kotagiri
Author: Yashaswi Kotagiri
Author: Brian W. Sloboda
Author: 
Author: Wael A. Altabey
Author: Roy R. Friedman
Author: Simon Washington
Author: Brandon Nevers, Kittelson & Associates, Inc. Alan F. Karr, National Institute of Statistical Sciences Xuesong Zhou, University of Utah: Jeffrey Wojtowicz, Rensselaer Polytechnic Institute Joseph Schofer, Northwestern University Asad Khatty, Planitek Transportation Research Board,
Author: R. Carter Hill
Author: M. V. L. R. Anjaneyulu
Author: Weiping Si