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Generating Artificial Populations for Traffic Microsimulation
Hongxia Zhao; Shuming Tang; Yisheng Lv; Tang, Shuming
Source PublicationIEEE Intelligent Transportation Systems Magazine
AbstractTravel demand is derived from people’s participation in daily activities scattered in time and space. Traffic microsimulation starts by generating individuals to participate in activities. In this paper, we propose a framework called Artificial Population Systems (APS) in order to automatically generate artificial populations for traffic microsimulation. Different from the conventional approach using empirical data to generate synthetic populations for the base year, our APS framework can generate artificial populations which evolve with time and space. So, with artificial populations, we will get more reasonable traffic demand forecast and analytical results in long term traffic microsimulation.
KeywordAggregates Demography Traffic Control Space Technology Scattering Space Exploration Demand Forecasting Acceleration Transportation Vehicles
Document Type期刊论文
Corresponding AuthorTang, Shuming
Recommended Citation
GB/T 7714
Hongxia Zhao,Shuming Tang,Yisheng Lv,et al. Generating Artificial Populations for Traffic Microsimulation[J]. IEEE Intelligent Transportation Systems Magazine,2009,1(3):22-28.
APA Hongxia Zhao,Shuming Tang,Yisheng Lv,&Tang, Shuming.(2009).Generating Artificial Populations for Traffic Microsimulation.IEEE Intelligent Transportation Systems Magazine,1(3),22-28.
MLA Hongxia Zhao,et al."Generating Artificial Populations for Traffic Microsimulation".IEEE Intelligent Transportation Systems Magazine 1.3(2009):22-28.
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