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.

Klappentext

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.

Inhalt
General Aspects.- 1 The Schedule-Based approach in dynamic transit modelling: a general overview.- 2 A dynamic mode transit service choice model to design ex-urban transport service timetables.- 3 Finding shortest time-dependent paths in Schedule-Based transit networks: a Label Setting algorithm.- 4 A large scale Stochastic Multi-Class Schedule-Based transit model with random coefficients.- 5 Schedule-Based Dynamic Assignment models for public transport networks.- Application to Its.- 6 Simulation-Based Evaluation of Advanced Public Transportation Systems.- 7 Short-term prediction of vehicle occupancy in Advanced Public Transportation Information Systems (APTIS).- 8 DY-RT: a tool for Schedule-Based planning of regional transit networks.- 9 A Schedule-Based transit assignment model addressing the passengers' choice among competing connections.- 10 Estimation of transit passenger Origin-Destination matrices from passenger counts in congested transit networks.- 11 Evaluation of O/D trip matrices by traffic counts in transit systems.- 12 Application for comparing frequency and Schedule-Based approaches in the simulation of a low frequency transit system.- 13 Minimum path algorithms for a Schedule-Based transit network with a general fare structure.- 14 A Solution to the transit assignment problem.