A Unified Framework for Estimating Or Updating Origin/destination Matrices from Traffic Counts
A Unified Framework for Estimating Or Updating Origin/destination Matrices from Traffic Counts

Author:

Publisher:

Published: 1987

Total Pages: 20

ISBN-13:

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This paper presents an in-depth study of the methodology for estimating or updating origin to destination trip matrices from traffic counts. Following an analysis of the statistical foundation of the estimation and updating problems, various basic approaches are reviewed using a generic traffic assingment map. Computational issues related to specific assignment maps and estimation models for both road and transit networks are then discussed. Finally, additional insight into the relative performance of several estimators is provided by a set of test problems with varying input data.

Schedule-Based Dynamic Transit Modeling
Schedule-Based Dynamic Transit Modeling

Author: Nigel H. M. Wilson

Publisher: Springer Science & Business Media

Published: 2013-03-09

Total Pages: 288

ISBN-13: 1475764677

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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.

Improving the Estimation of Travel Demand for Traffic Simulation
Improving the Estimation of Travel Demand for Traffic Simulation

Author: Yao Wu

Publisher:

Published: 2004

Total Pages: 106

ISBN-13:

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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.