Generating Artificial Populations for Traffic Microsimulation
Hongxia Zhao; Shuming Tang; Yisheng Lv; Tang, Shuming
刊名IEEE Intelligent Transportation Systems Magazine
2009
卷号1期号:3页码:22-28
关键词Aggregates Demography Traffic Control Space Technology Scattering Space Exploration Demand Forecasting Acceleration Transportation Vehicles
英文摘要Travel 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.
内容类型期刊论文
源URL[http://ir.ia.ac.cn/handle/173211/12383]  
专题自动化研究所_智能制造技术与系统研究中心_先进制造与自动化团队
通讯作者Tang, Shuming
推荐引用方式
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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