Download or read book Effects of Temporal Disaggregation of Trip Data on Traveler Behavior Models written by Fred A. Reid and published by . This book was released on 1976 with total page 60 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book The Theory and Practice of Disaggregate Demand Forecasting for Various Modes of Urban Transportation written by Daniel McFadden and published by . This book was released on 1976 with total page 84 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Methods of Temporal Disaggregation of Auto and Transit Network Trip Times for Behavioral Modeling written by Jerry Berkman and published by . This book was released on 1977 with total page 70 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Urban Mass Transportation Abstracts written by and published by . This book was released on 1982 with total page 940 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book A disaggregate analysis of urban travel behavior written by and published by . This book was released on 1972 with total page 458 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book The Subjective Value of the Time Spent in Travel written by Alan J. Horowitz and published by . This book was released on 1977 with total page 34 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book A Disaggregated Behavioral Model of Urban Travel Demand written by Charles River Associates and published by . This book was released on 1972 with total page 528 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Methods for Obtaining Spatially and Temporally Disaggregated Trip Data from Transportation Network Systems written by Fred A. Reid and published by . This book was released on 1975 with total page 56 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Demand Model Estimation and Validation written by Daniel McFadden and published by . This book was released on 1977 with total page 600 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Disaggregate Travel Demand Models with Disaggegate Data Not with Aggregate Data and how written by Antti Talvitie and published by . This book was released on 1976 with total page 100 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Proceedings written by Transportation Research Forum and published by . This book was released on 1976 with total page 604 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Exploration of Temporal Dynamics of Traveler Behaviors Using Sequential Data Analysis Techniques written by Jingyue Zhang and published by . This book was released on 2019 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Over the last few years, as with many other fields, the transportation discipline has been swept by the big data revolution. The growth in data is from a variety of sources including traffic detectors, remote sensors, mobile devices, smart card data, global positioning system (GPS), and survey datasets among others. This revolution has not only brought about tremendous opportunities for conducting interesting data driven analysis for understanding activity-travel behavior, it has also highlighted challenges associated with using traditional analytical methods to analyze these large datasets. To this end, this study first introduced a novel new Divide and Combine based approach to estimating Mixture Markov models for analyzing large categorical time series data. The validity of this approach is demonstrated using a simulation study. Further, the feasibility and applicability is highlighted by conducting a clustering analysis of large activity-travel sequences using multiyear travel survey datasets. The results suggest that travel patterns of individuals over the last three decades can be categorized into three types of travel patterns. Results also provide evidence in support of recent claims about different generational cohorts and their activity-travel behaviors. The second part of this study utilizes the method developed in the first study to analyze intra-day activity-travel behavior of the elderly (over 65 years old) using data from five waves of National Household Travel Survey (NHTS). By characterizing daily activity-travel behavior as categorical time series to incorporate timing and schedule of different activity-travel episodes jointly, three segments of elderly were identified based on their unique activity-travel patterns by applying the proposed Divide and Combine based approach. The study offered into the activity-travel characteristics of the elderly. The third part of this study develops a time-varying mixture Markov model framework for analyzing dynamics in activity-travel behaviors along with a new estimation approach. The model and estimation approach are demonstrated by analyzing commute mode choice behavior of UK residents from 1991 to 2016. The results suggest that commute mode choice of UK residents can be categorized into two types of patterns. Results also indicate that probabilities of switching from one mode to other change over time.

Download or read book Transferability and Updating of Disaggregate Travel Demand Models written by Terry J. Atherton and published by . This book was released on 1976 with total page 58 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book The Economics of Traffic Congestion written by E. T. Verhoef and published by Edward Elgar Publishing. This book was released on 2010 with total page 716 pages. Available in PDF, EPUB and Kindle. Book excerpt: This essential two-volume collection contains the most influential articles written over the past eight decades that contribute to an understanding of the economics of traffic congestion. The first volume explores the classic contributions on congestion and road pricing and includes papers in dynamic models and second-best congestion pricing. The second volume analyses ownership arrangements such as private roads, investment and financing, urban land use, social acceptability and distributional aspects of road pricing. Erik Verhoef has written an insightful introduction which provides a clear overview of a problem which is of major importance in both developed and developing countries.

Download or read book A Disaggregate Serially Structured Model of Trip Generation by Elderly Individuals written by Chris Hendrickson and published by . This book was released on 1976* with total page 66 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Aggregate Travel Demand Forecasting from Disaggregated Behavioral Models written by Daniel McFadden and published by . This book was released on 1974 with total page 18 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Modeling and Modifying Day to day Travel Behaviors written by Yue Tang and published by . This book was released on 2017 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: The increasing availability of individual-level longitudinal data provides the opportunity to better understand travelers'\ day-to-day learning process of their choice alternatives, which enables potentially more accurate predictions of choice patterns in a network with uncertainties. In this thesis, an instance-based learning (IBL) model for travel choice is developed within route-choice context, where on each day a traveler's decision depends on her entire choice history in the past. Learning in this model is based on the power law of forgetting and practice, which is shown to be capable of capturing various psychological effects embedded in travelers'\ day-to-day learning process, including the recency effect, hot stove effect and payoff variability effect. Estimation results based on empirical data show that the IBL model reveals higher sensitivity to perceived travel time and achieves better model fit compared to a baseline learning model. Cross-validation experiments suggest that the forecasting ability of the IBL model is consistently better than the baseline learning model. Despite the above-mentioned advantages of the IBL model, the common problem of missing initial observations in longitudinal data collection can lead to inconsistent estimates of perceived value of attributes in question, and thus inconsistent parameter estimates. In this thesis, the stated problem is addressed by treating the missing observations as latent variables. The proposed method is implemented in practice as maximum simulated likelihood (MSL) correction with two sampling methods in an instance-based learning model for travel choice, and the finite sample bias and efficiency of the estimators are investigated. Monte Carlo experimentation based on synthetic data shows that both the MSL with random sampling (MSLrs) and MSL with importance sampling (MSLis) are effective in correcting for the endogeneity problem in that the percent error and empirical coverage of the estimators are greatly improved after correction. The methods are applied to an experimental route-choice dataset to demonstrate their empirical application. Hausman-McFadden tests show that the estimators after correction are statistically equal to the estimators of the full dataset without missing observations, confirming that the proposed methods are practical and effective for addressing the stated problem. Apart from modeling travelers'\ day-to-day learning process for travel choice, day-to-day driving behavior intervention is also studied in this thesis. A study of Mitigation Techniques to Modify Driver Performance to Improve Fuel Economy, Reduce Emissions and Improve Safety was undertaken as part of the Massachusetts Department of Transportation (MassDOT) Research Program. Major conclusions include: 1) Real-time feedback has a significant effect in reducing speeding and aggressive acceleration. 2) Training has a significant effect in reducing idling rate in the first month after training. 3) Combining training and feedback is expected to significantly improve fuel economy, reduce emissions and improve safety.