Use of San Francisco Bay Area Rapid Transit District passenger count data to estimate origin-destination matrices.

Schedule-Based Dynamic Transit Modeling: Theory and Applications outlines the new schedule-based dynamic approach to mass transit modeling. In the last ten years the schedule-based dynamic approach has been developed and applied especially for operational planning. It allows time evolution of on-board loads and travel times for each run of each line to be obtained, and uses behavioral hypotheses strictly related to transit systems and user characteristics. It allows us to open new frontiers in transit modelling to support network design, timetable setting, investigation of congestion effects, as well as the assessment of new technologies introduction, such as information to users (ITS technologies). The contributors and editors of the book are leading researchers in the field of transportation, and in this volume they build a solid foundation for developing still more sophisticated models. These future models of mass transit systems will continue to add higher levels of accuracy and sensitivity desired in forecasting the performance of public transport systems.

This report examined several methods for estimating Origin-Destination (OD) matrices for freeways using loop detector data. Least squares based methods were compared in terms of both off-line and on-line estimation. Simulated data and observed data were used for evaluating the static and recursive estimators. For off-line estimation, four fully constrained least squares methods were compared. The results showed that the variations of a constrained least squares approach produced more efficient estimates. For on-line estimation, two recursive least squares algorithms were examined. The first method extends Kalman Filtering to satisfy the natural constraints of the OD split parameters. The second was developed from sequential quadratic programming. These algorithms showed different capabilities to capture an abrupt change in the split parameters. Practical recommendations of the choice of different algorithms are given.

This book presents the select proceedings of the 2nd International Conference on Transportation Infrastructure Projects: Conception to Execution (TIPCE 2022) at IIT Roorkee and emphasizes the understanding of transportation infrastructure projects being conceptualized, designed, and executed so as to bring the desired development in the focused area. It comprises case studies from the transportation sector, construction industries, consulting agencies, and research and academic institutions. These studies present the bottlenecks experienced during the implementation of the projects, from their conceptualization to their execution and the corrective measures that were incorporated to finish the work. The book will be a valuable reference for beginners, researchers, and professionals interested in construction planning and technology, infrastructure engineering, highway engineering, traffic and transportation planning and systems.