Schedule-Based Dynamic Assignment Models for Public Transport Networks

In the sphere of transit assignment, the dynamic models approach is the focus of increasing interest, because of the importance of explicit system simulations to know user flow for each run and the performance of different service networks in terms of times and comfort levels, and to enable user decisions to be evaluated if ITS is used. Urban transit systems are characterised not only by day-to-day dynamics but also within-day dynamics. Thus the evaluation process has to be represented by means of the two relative processes (within-day and day-to-day). This paper reports some extension and review on the framework of the approach proposed by Nuzzolo and Russo (1998) and generalized in Nuzzolo et al. (2001, 2002), with the study of the different aspects of path choice — on the demand side — and of operating services — on the supply side — in relation to the different assignment models that can be useful.

[1]  W. Lam,et al.  Estimation of Transit Passenger Origin-Destination Matrices from Passenger Counts in Congested Transit Networks , 2004 .

[2]  L D'acierno,et al.  Metodi e tecnologie dell’ingegneria dei trasporti – Seminario 2002 , 2002 .

[3]  Giulio Erberto Cantarella,et al.  Dynamic Processes and Equilibrium in Transportation Networks: Towards a Unifying Theory , 1995, Transp. Sci..

[4]  Mgh Bell,et al.  CAPACITY CONSTRAINED TRANSIT ASSIGNMENT MODELS AND RELIABILITY ANALYSIS. IN: ADVANCED MODELING FOR TRANSIT OPERATIONS AND SERVICE PLANNING , 2002 .

[5]  Shing Chung Josh Wong,et al.  THE ESTIMATION OF ORIGIN-DESTINATION MATRICES IN TRANSIT NETWORKS. IN: ADVANCED MODELING FOR TRANSIT OPERATIONS AND SERVICE PLANNING , 2002 .

[6]  Otto Anker Nielsen.  A multi-class timetable-based transit assignment model with error components in the utility functions , 2002 .

[7]  Francesco Russo,et al.  DAY-TO-DAY APPROACH FOR PATH CHOICE MODELS IN THE TRANSIT SYSTEM: ANALYTICAL EVALUATIONS AND SIMULATION RESULTS , 2002 .

[8]  M. Ben-Akiva,et al.  Discrete choice analysis , 1989 .

[9]  Agostino Nuzzolo,et al.  Transit Path Choice and Assignment Model Approaches( , 2002 .

[10]  A Nuzzolo.  TRANSIT PATH CHOICE AND ASSIGNMENT MODEL APPROACHES. IN: ADVANCED MODELING FOR TRANSIT OPERATIONS AND SERVICE PLANNING , 2003 .

[11]  Stefano Pallottino,et al.  Equilibrium traffic assignment for large scale transit networks , 1988 .

[12]  Umberto Crisalli,et al.  A Doubly Dynamic Schedule-based Assignment Model for Transit Networks , 2001, Transp. Sci..

[13]  P. Robillard,et al.  Common Bus Lines , 1975 .

[14]  M. Abkowitz.  An analysis of the commuter departure time decision , 1981 .

[15]  Umberto Crisalli,et al.  THE SCHEDULE-BASED DYNAMIC MODELLING FOR PUBLIC TRANSPORT NETWORKS: A NEW APPROACH IN PATH CHOICE AND ASSIGNMENT , 2002 .

[16]  Michael Florian,et al.  Optimal strategies: A new assignment model for transit networks , 1989 .

[17]  Agostino Nuzzolo,et al.  Stochastic Assignment Models for Transit Low Frequency Services: Some Theoretical and Operative Aspects , 1996 .

[18]  Paolo Toth,et al.  Advanced Methods in Transportation Analysis , 1997 .

[19]  Robert B Dial,et al.  TRANSIT PATHFINDER ALGORITHM , 1967 .