Activity Cancellation and Rescheduling by Stressed Households: Improving Convergence in Integrated Activity-Based and Dynamic Traffic Assignment Models

Maintaining consistency between individuals’ activity choices and realistic network conditions is made possible through a unified framework of activity-based and dynamic traffic assignment models. In this study, a model formulation and solution approach is presented for an integrated system of household activity schedule adjustment and multimodal dynamic traffic assignment model. In the proposed framework, individuals are initially assigned an activity pattern that includes their activity start time, end time, sequence, and number of intermediate and final destinations. The planned schedules are loaded to the network and executed to obtain the dynamic traffic conditions. Next, the individuals who experience schedules inconsistent with the planned ones try to adjust their activity durations or trip departure times to accommodate the fluctuations. In some cases, however, the schedule inconsistencies may not be resolved through departure time or duration adjustments; therefore, the traveler may cancel an activity or trip as a response to the fluctuations. Strategies for selecting activities to be canceled are discussed, and the influence of incorporating activity cancellation on numerical convergence is presented.

[1]  Joseph Y. J. Chow,et al.  Inverse optimization with endogenous arrival time constraints to calibrate the household activity pattern problem , 2012 .

[2]  Hani S. Mahmassani,et al.  Spatial Microassignment of Travel Demand with Activity Trip Chains , 2001 .

[3]  W.W. Recker,et al.  A MODEL OF COMPLEX TRAVEL BEHAVIOR: PART I. THEORETICAL DEVELOPMENT , 1985 .

[4]  Michel Bierlaire,et al.  Solving Noisy, Large-Scale Fixed-Point Problems and Systems of Nonlinear Equations , 2006, Transp. Sci..

[5]  Dung-Ying Lin,et al.  Integration of Activity-Based Modeling and Dynamic Traffic Assignment , 2008 .

[6]  Hani S. Mahmassani,et al.  An evaluation tool for advanced traffic information and management systems in urban networks , 1994 .

[7]  Dick Ettema,et al.  A SIMULATION MODEL OF ACTIVITY SCHEDULING BEHAVIOUR , 1992 .

[8]  Hani S. Mahmassani,et al.  Schedule Consistency for Daily Activity Chains in Integrated Activity-Based Dynamic Multimodal Network Assignment , 2017 .

[9]  Ali Zockaie,et al.  Dynamic network equilibrium for daily activity-trip chains of heterogeneous travelers: application to large-scale networks , 2016 .

[10]  Satish V. Ukkusuri,et al.  Dynamic User Equilibrium Model for Combined Activity-Travel Choices Using Activity-Travel Supernetwork Representation , 2010 .

[11]  Torsten Hägerstraand WHAT ABOUT PEOPLE IN REGIONAL SCIENCE , 1970 .

[12]  Maria Nadia Postorino,et al.  Fixed Point Approaches to the Estimation of O/D Matrices Using Traffic Counts on Congested Networks , 2001, Transp. Sci..

[13]  R. Jayakrishnan,et al.  Application of Activity Chaining Model Incorporating a Time Use Problem to Network Demand Analysis , 2006 .

[14]  Xiaoning Zhang,et al.  Integrated scheduling of daily work activities and morning–evening commutes with bottleneck congestion , 2005 .

[15]  John W. Polak,et al.  Utility of Schedules: Theoretical Model of Departure-Time Choice and Activity-Time Allocation with Application to Individual Activity Schedules , 2004 .

[16]  Giulio Erberto Cantarella,et al.  A General Fixed-Point Approach to Multimode Multi-User Equilibrium Assignment with Elastic Demand , 1997, Transp. Sci..

[17]  Joseph Y. J. Chow Activity‐Based Travel Scenario Analysis with Routing Problem Reoptimization , 2014, Comput. Aided Civ. Infrastructure Eng..

[18]  William H. K. Lam,et al.  An activity-based time-dependent traffic assignment model , 2001 .

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

[20]  Wilfred W. Recker,et al.  Toward a dynamic model of individual activity pattern formulation , 1981 .

[21]  Hani S. Mahmassani,et al.  Dynamic Assignment-Simulation Methodology for Multimodal Urban Transit Networks , 2015 .

[22]  Hani S. Mahmassani,et al.  Activity-Based Model with Dynamic Traffic Assignment and Consideration of Heterogeneous User Preferences and Reliability Valuation , 2015 .

[23]  C. Kelley Solving Nonlinear Equations with Newton's Method , 1987 .

[24]  Haijun Huang,et al.  Combined Activity/Travel Choice Models: Time-Dependent and Dynamic Versions , 2003 .

[25]  Sergio Jara-Díaz,et al.  Modelling bicycle use intention: the role of perceptions , 2016 .

[26]  Wilfred W. Recker,et al.  The Household Activity Pattern Problem: General Formulation and Solution , 1995 .

[27]  John E. Dennis,et al.  Numerical methods for unconstrained optimization and nonlinear equations , 1983, Prentice Hall series in computational mathematics.

[28]  I. Ömer Verbas,et al.  Gap-based transit assignment algorithm with vehicle capacity constraints: Simulation-based implementation and large-scale application , 2016 .