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Enriched Sioux Falls Scenario with Dynamic and Disaggregate Demand
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File list
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config_default.xml MATSim config file, which was used for runs in Chakirov and Fourie (2014)
(Case 1, Seed 1).
Siouxfalls_facilities.xml.gz MATSim facilities file. Contains list of all facilities including opening times
(opening times are not used in the moment, as activity rectriciotns are defined in the config file).
Siouxfalls_network_PT.xml Network file
Siouxfalls_population.xml.gz Initial population file
Siouxfalls_transitSchedule.xml Transit schedule file containing information on
bus stop locations, bus lines and bus schedule
Siouxfalls_vehicles.xml Vehicle file containing information on type and capacity of buses
Additional scenario data, as well as simulations input and output, can be obtained by following the instructions at www.matsim.org/scenario/sioux-falls and on the Transportation Test Problems page of the Ben-Gurion University of the Negev, maintained by Hillel Bar-gera (http://www.bgu.ac.il/~bargera/tntp/).
Corresponding publication
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Chakirov, A. and P. Fourie (2014) Enriched Sioux Falls Scenario with Dynamic and Disaggregate Demand, Working paper, Future Cities Laboratory, Singapore - ETH Centre (SEC), Singapore.
Abstract
This paper presents an enriched, agent-based small scale scenario with dynamic demand and an integrated public transport system based on the commonly used Sioux Falls road network. The scenario aims to provide a realistic, fully dynamic demand with heterogeneous socio-demographic users and a high degree of spatial resolution. Real world survey and land-use data is used to generate a diverse synthetic population and accurate activity locations. The socio-demographic characteristics include age and sex on individual and income on household levels. The assignment of home and work locations employs land-use and building information, census data from the City of Sioux Falls, South Dakota as well as commonly used static OD-matrices from LeBlanc et al., 1975.
This enriched Sioux Falls scenario can serve as a convenient test-case for the study of different transportation policies as well as a test bed for the extension and development of agent-based simulation frameworks. It is important to note that the scenario does not aim to replicate the real City of Sioux Falls, SD, and remains a fictitious test-case scenario. In this work, we use Multi-agent Transport Simulation (MATSim) in order to evaluate the stochastic user-equilibrium of the compiled supply and demand.
