A disaggregate pseudo-dynamic assignment for the activity-based model of the Greater Copenhagen Area

The COMPAS (Copenhagen Model for Person Activity Scheduling) model is an activity based model that proposes on the demand side a micro-simulation approach to the representation of activity and travel patterns of Copenhageners as individuals and household members, and on the supply side a disaggregate pseudo-dynamic approach to the assignment of Copenhageners to the multimodal network of the Greater Copenhagen Area. This paper focuses on the development of the framework for the supply side that aims at (i) capturing time-dependent interactions of travel demand and network supply of the network, (ii) representing the network at a disaggregate level, (iii) representing congestion build-up and dissipation; (iv) evaluating the effect of traffic management measures and traffic policies.

[1]  E. Cascetta.  A stochastic process approach to the analysis of temporal dynamics in transportation networks , 1989 .

[2]  Peter Vovsha,et al.  Advanced activity-based models in context of planning decisions , 2006 .

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

[4]  Otto Anker Nielsen,et al.  A Stochastic Traffic Assignment Model Considering Differences in Passengers Utility Functions , 2000 .

[5]  Jon Alan Bottom,et al.  Consistent anticipatory route guidance , 2000 .

[6]  Michel Bierlaire,et al.  Capturing correlation with subnetworks in route choice models , 2007 .

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

[8]  Malachy Carey,et al.  A REFORMULATION OF THE THEORY OF OPTIMAL CONGESTION TAXES , 1985 .

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

[10]  Otto Anker Nielsen,et al.  Generation and quality assessment of route choice sets in public transport networks by means of RP data analysis , 2010 .

[11]  John L. Bowman,et al.  The Day Activity Schedule Approach to Travel Demand Analysis , 1998 .

[12]  Che-Fu Hsueh,et al.  A model and an algorithm for the dynamic user-optimal route choice problem , 1998 .

[13]  A. Evans.  Road congestion pricing: when is it a good policy? , 1992 .

[14]  D. de Meza,et al.  Free Access versus Private Property in a Resource: Income Distributions Compared , 1987, Journal of Political Economy.

[15]  Robert B. Dial,et al.  A PROBABILISTIC MULTIPATH TRAFFIC ASSIGNMENT MODEL WHICH OBVIATES PATH ENUMERATION. IN: THE AUTOMOBILE , 1971 .

[16]  A. Palma,et al.  A STRUCTURAL MODEL OF PEAK-PERIOD CONGESTION: A TRAFFIC BOTTLENECK WITH ELASTIC DEMAND. IN: RECENT DEVELOPMENTS IN TRANSPORT ECONOMICS , 1993 .

[17]  M. McNally.  AN ACTIVITY-BASED MICROSIMULATION MODEL FOR TRAVEL DEMAND FORECASTING , 1996 .

[18]  E. Cascetta,et al.  A DAY-TO-DAY AND WITHIN-DAY DYNAMIC STOCHASTIC ASSIGNMENT MODEL , 1991 .

[19]  System Convergence in Transport Modelling , 2010 .

[20]  M. Bierlaire,et al.  Discrete Choice Methods and their Applications to Short Term Travel Decisions , 1999 .

[21]  Peter Nijkamp,et al.  Second-best regulation of road transport externalities , 1995 .

[22]  E. Cascetta,et al.  A MODIFIED LOGIT ROUTE CHOICE MODEL OVERCOMING PATH OVERLAPPING PROBLEMS. SPECIFICATION AND SOME CALIBRATION RESULTS FOR INTERURBAN NETWORKS , 1996 .

[23]  M. Bradley,et al.  SACSIM: An applied activity-based model system with fine-level spatial and temporal resolution , 2010 .

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

[25]  Carlos F. Daganzo,et al.  On Stochastic Models of Traffic Assignment , 1977 .

[26]  Moshe Ben-Akiva,et al.  Estimation of travel choice models with randomly distributed values of time , 1992 .

[27]  Hani S. Mahmassani,et al.  Dynamic Traffic Assignment and Simulation for Advanced Network Informatics (DYNASMART) , 1995 .

[28]  Bin Ran,et al.  MODELING DYNAMIC TRANSPORTATION NETWORKS : AN INTELLIGENT TRANSPORTATION SYSTEM ORIENTED APPROACH. 2ND REV. ED. , 1996 .

[29]  Michel Bierlaire,et al.  Route choice modeling with network-free data , 2008 .

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

[31]  Otto Anker Nielsen,et al.  Optimisation of timetable-based, stochastic transit assignment models based on MSA , 2006, Ann. Oper. Res..

[32]  Chandra R. Bhat,et al.  Comprehensive Econometric Microsimulator for Daily Activity-Travel Patterns , 2004 .

[33]  W. Vickrey.  Congestion Theory and Transport Investment , 1969 .

[34]  J. Henderson,et al.  The economics of staggered work hours , 1981 .

[35]  Kenneth A. Small,et al.  The Value of Time and Reliability: Measurement from a Value Pricing Experiment , 2001 .

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

[37]  Scott M. Freundschuh,et al.  Is there a Relationship Between Spatial Cognition and Environmental Patterns? , 1992, Spatio-Temporal Reasoning.

[38]  André de Palma,et al.  Recent Developments in the Bottleneck Model , 1995 .

[39]  Peter Vovsha,et al.  Explicit Modeling of Joint Travel by Household Members: Statistical Evidence and Applied Approach , 2003 .

[40]  Xeuhao Chu,et al.  Endogenous Trip Scheduling: The Henderson Approach Reformulated and Compared with the Vickrey Approach , 1993 .

[41]  Alan W. Evans,et al.  Road Congestion: The Diagrammatic Analysis , 1992, Journal of Political Economy.

[42]  Otto Anker Nielsen,et al.  A stochastic multi-class road assignment model with distributed time and cost coefficients , 2000 .

[43]  Katrín Halldórsdóttir.  Choice of Access Mode to Passenger Trains , 2010 .

[44]  Rong-Chang Jou,et al.  Modeling the impact of pre-trip information on commuter departure time and route choice , 2001 .

[45]  J. Henderson.  Road congestion : A reconsideration of pricing theory , 1974 .

[46]  P. Nijkamp,et al.  SECOND BEST CONGESTION PRICING: THE CASE OF AN UNTOLLED ALTERNATIVE. IN: URBAN TRANSPORT , 1996 .

[47]  K. Nagel,et al.  Agent-based traffic assignment: going from trips to behavioral travelers , 2009 .

[48]  Muhammad Adnan,et al.  Model for Integrating Home–Work Tour Scheduling with Time-Varying Network Congestion and Marginal Utility Profiles for Home and Work Activities , 2009 .

[49]  K. Axhausen,et al.  Activity‐based approaches to travel analysis: conceptual frameworks, models, and research problems , 1992 .

[50]  Erik T. Verhoef,et al.  Time, speeds, flows and densities in static models of road traffic congestion and congestion pricing , 1997 .