An Activity Based Demand Model for Large Scale Simulations

Mohammad Saleem · Oskar Blom Västberg

11 citations0/0 files storedProcedia Computer Science

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Transportation Planning and Optimization Traffic control and management Transportation and Mobility Innovations

Abstract

This paper presents the ongoing development of SCAPER, a random utility based travel demand model that consistently incorporates time decisions. The paper focusses on how SCAPER can be used for large scale simulations, and more specifically: 1. How computational speed of SCAPER is improved using sampling of locations, and how it influences the simulation results. 2. Interfacing SCAPER to MATSim simulation framework, and estimating the SCAPER model with travel times and travel costs produced by the simulation of Stockholm demand (simulated) over Stockholm network using MATSim. 3. Preliminary results from 1 and 2.

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References

2016The Multi-Agent Transport Simulation MATSim 2001Activity-based disaggregate travel demand model system with activity schedules 2010SACSIM: An applied activity-based model system with fine-level spatial and temporal resolution 2000ALBATROSS: Multiagent, Rule-Based Model of Activity Pattern Decisions 2001A bridge between travel demand modeling and activity-based travel analysis 2010A random utility maximization (RUM) based dynamic activity scheduling model: Application in weekend activity scheduling 2004Hybrid Discrete Choice Departure-Time and Duration Model for Scheduling Travel Tours 2011Constructing personalized transportation networks in multi-state supernetworks: a heuristic approach

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2024A latent class dynamic discrete choice model for travel behaviour and scheduling 2023Mobility constraints and accessibility to work: Application to Stockholm

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