Effects of a Simple Mode Choice Model in a Large-Scale Agent-Based Transport Simulation

Dominik Grether, Yu Chen, Marcel Rieser and Kai Nagel
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Dominik Grether: Technical University Berlin
Yu Chen: Technical University Berlin
Marcel Rieser: Technical University Berlin
Kai Nagel: Technical University Berlin

Chapter Chapter 13 in Complexity and Spatial Networks, 2009, pp 167-186 from Springer

Abstract: Abstract The traditional transportation planning forecasting process is the four-step process, consisting of the following four steps (for example, Ortúzar and Willumsen 1995):1. Trip generation, where sources and sinks of travel are computed 2. Destination choice, where sources and sinks are connected to trips. This results in the so-called origin–destination (OD) matrix 3. Mode choice, where the trips are differentiated by mode 4. Assignment, where routes are found for the trips, taking into account that much-used streets become slower (“congested assignment”). It has been clear for quite some time now that this approach is at odds with anything that is time dependent. At best, separate runs of the four step process are made for, say, morning peak, mid-day, evening peak, and night. Within the periods, everything is “static” (or steady-state), in the sense flow rates are constant throughout the periods.

Keywords: Marginal Utility; Mode Choice; Public Transit; Typical Duration; Link Travel Time (search for similar items in EconPapers)
Date: 2009
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DOI: 10.1007/978-3-642-01554-0_13

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