Implementation of Scheduling Conflict Resolution Model in Activity-Scheduling System

This paper estimates the impact of using scheduling rules that are based on a conflict resolution model on scheduling accuracy compared with using a previous set of scheduling rules used in the TASHA model. The rule-based conflict resolution model was previously estimated by using the CHASE scheduling process data to represent the process that individuals undergo when a scheduling conflict occurs within their activity pattern. The updated scheduling rules can handle more conflict cases and allow for more realistic resolution types than the TASHA scheduler. The updated scheduler was compared with the scheduling rules in TASHA for validation by scheduling the planned CHASE activities through use of both schedulers, and the results were compared with the actual executed activity patterns. The results showed that using the scheduler with the conflict resolution model gave better fit to the executed patterns from the survey.

[1]  Matthew J. Roorda,et al.  Operationalising Household Activity Scheduling Models , 2005 .

[2]  T. Gärling,et al.  Computational-Process Modelling of Household Travel Decisions Using a Geographical Information System , 1994 .

[3]  Eric J. Miller,et al.  Strategies for Resolving Activity Scheduling Conflicts , 2005 .

[4]  David Biggs,et al.  A method of choosing multiway partitions for classification and decision trees , 1991 .

[5]  Joshua Auld,et al.  Analysis of Activity Conflict Resolution Strategies , 2008 .

[6]  Sean T. Doherty,et al.  Analysis of Factors Affecting the Frequency and Type of Activity Schedule Modification , 2005 .

[7]  Tommy Gärling,et al.  COMPUTATIONAL PROCESS MODELING OF HOUSEHOLD TRAVEL DECISIONS USING A GEOGRAPHICAL INFORMATION SYSTEM , 2005 .

[8]  Matthew J. Roorda,et al.  Prototype Model of Household Activity-Travel Scheduling , 2003 .

[9]  J. Polak,et al.  Empirical Analysis of Factors Affecting the Resolution of Activity-Scheduling Conflicts , 2005 .

[10]  Michael G. McNally,et al.  Experiments with Computerized Self-Administrative Activity Survey , 2001 .

[11]  Matthew J. Roorda,et al.  Strategies for Resolving Activity Scheduling Conflicts: An Empirical Analysis , 2005 .

[12]  Matthew J. Roorda,et al.  Operationalising Household Activity Scheduling Models: Addressing Assumptions and the Use of New Sources of Behavioural Data , 2005 .

[13]  C H Chang-Hyeon Joh,et al.  Measuring and predicting adaptation in multidimensional activity-travel patterns , 2004 .

[14]  Abolfazl Mohammadian,et al.  Modeling activity scheduling time horizon: Duration of time between planning and execution of pre-planned activities , 2006 .

[15]  Harry Timmermans,et al.  Changing the timing of activities in resolving Scheduling Conflicts , 2006 .

[16]  Matthew J. Roorda,et al.  Computerized Household Activity-Scheduling Survey for Toronto, Canada, Area: Design and Assessment , 2004 .

[17]  Matthew J. Roorda,et al.  Analysis of Planning Decisions during the Activity-Scheduling Process , 2008 .

[18]  Sean T. Doherty,et al.  Examining the Nature and Extent of the Activity-Travel Preplanning Decision Process , 2008 .

[19]  Tommy Gärling,et al.  Computational-Process Modelling of Household Activity Scheduling , 1993 .

[20]  Ta Theo Arentze,et al.  Experiences with developing ALBATROSS: a learning-based transportation oriented simulation system , 1998 .