DocumentCode :
2852026
Title :
Architecture for structural optimization of urban road networks—Case study of Beijing city
Author :
Xinhua Liu ; Zhuangzhi Sun
Author_Institution :
Sch. of Electron. & Control Eng., Chang´an Univ., Xi´an, China
fYear :
2009
fDate :
17-17 Oct. 2009
Firstpage :
176
Lastpage :
180
Abstract :
Road infrastructures are always the topmost prerequisite to balance the supply and demand and reduce the congestions in urban transport, which is essential to support for the sustainable development of a city. This paper is a case study of Beijing, the capital city of China. It first introduces the background of the study on the structural optimization of urban road networks (SOURN), and then summarizes the present research on the optimization at home and abroad based on S&TNS (Science and Technology Novelty Search). Feasibility of the optimization is also examined. Next, the paper emphasizes the architecture for realizing such optimization, and proposes an architectural sample for Beijing city, which consists of a GIS platform of urban road networks, a data acquisition platform, optimization technologies, a decision support system, a simulated SOURN Test & Analysis System, and demonstration works for the optimization. This paper is a valuable reference for Beijing and other large cities to study their structural optimization and adjustment of road networks.
Keywords :
data acquisition; decision support systems; geographic information systems; optimisation; road traffic; traffic engineering computing; Beijing City; GIS platform; data acquisition platform; decision support system; demonstration works; road infrastructures; simulated SOURN test & analysis system; structural optimization architecture; sustainable development; urban road networks; urban transport; architecture; road network structure; structural optimization of road networks; transport planning;
fLanguage :
English
Publisher :
iet
Conference_Titel :
Advanced Forum on Transportation of China (AFTC 2009), 5th
Conference_Location :
Beijing
ISSN :
0537-9989
Type :
conf
DOI :
10.1049/cp.2009.1609
Filename :
5499220
Link To Document :
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