An adaptive fuzzy logic controller (AFC) is presented for the signal control of the urban traffic network. The AFC is composed of the signal control system-oriented control level and the signal controller-oriented fuz...An adaptive fuzzy logic controller (AFC) is presented for the signal control of the urban traffic network. The AFC is composed of the signal control system-oriented control level and the signal controller-oriented fuzzy rules regulation level. The control level decides the signal timings in an intersection with a fuzzy logic controller. The regulation level optimizes the fuzzy rules by the Adaptive Rule Module in AFC according to both the system performance index in current control period and the traffic flows in the last one. Consequently the system performances are improved. A weight coefficient controller (WCC) is also developed to describe the interactions of traffic flow among the adjacent intersections. So the AFC combined with the WCC can be applied in a road network for signal timings. Simulations of the AFC on a real traffic scenario have been conducted. Simulation results indicate that the adaptive controller for traffic control shows better performance than the actuated one.展开更多
Tuo Shan Yan Dam is a small darn which was built above Yinjiang River at the Yinjiang Town, Ningbo City, Zhejiang Province of China in 833 AD, but it is greatly contributed to Ningbo City, a current big port city of C...Tuo Shan Yan Dam is a small darn which was built above Yinjiang River at the Yinjiang Town, Ningbo City, Zhejiang Province of China in 833 AD, but it is greatly contributed to Ningbo City, a current big port city of China. The dam and the matched system had become a key hydro-infrastructure to the city＇s existence and development, and irrigation of the countryside nearby the city from ninth century up to 1987, a big dam was built at upper reach to control water of the river. Tuo Shan Yan Dam functioned an important role in the local water management and met a series of purposes perfectly, mainly as： （a） regulation of the river water; （b） save the flood; （c） stop the salinization; （d） urban water supply; （e） storage of flesh water; （f） irrigation; （g） ship transportation. And it is a miracle that it has been functioned for more than one thousand years. This dam also influenced the local social life and people＇s spiritual world simultaneously. The construction of the dam and its matched hydro-system is in line with the Chinese ancient logic of urban water management to manage river to meet a multi-proposes of urban development by a key project and a systemic engineering design. It is an important case for better understanding of ancient Chinese urban water management and to learn from the history for current water sustainability. Accordingly, the dam＇s design, construction and its influence on the local societies are studied in this article.展开更多
Qingdao is one of the essential growth poles in the process of new-type urbanization in Shandong Province. The study on the relationship between urban expansion and driving factors in this area is representative. This...Qingdao is one of the essential growth poles in the process of new-type urbanization in Shandong Province. The study on the relationship between urban expansion and driving factors in this area is representative. This paper examined urban expansion from the perspective of non-urban to urban conversion, detailing an empirical investigation into the spatiotemporal variations and impact factors of urban expansion in Qingdao. By using the Urban Expansion Intensity Index （UEII） and Urban Expansion Differentiation Index （UEDI）, the spatial and temporal difference of urban expansion in the Municipal District, Jiaozhou County, Jimo County, Pingdu County, Jiaonan County and Laixi County were calculated on a county unit data set for the period 1990 to 2008. A GIS and logistical regression models were applied for discussing the results of various factors in land use change. Results indicated that the elevation and slope factors showed negative effects to urban expansion. Distance to the city center and to road both also conferred negative effects. The population density and GDP were vital and positive factors of urban conversion. Neighborhood factors showed consistently positive effects. The magnitude of factors was various in different counties. A better understanding of the factors influencing land use change could support land use management and planning decisions.展开更多
Transformation of land use/land cover change occurs due to the numbers and activities of people.Urban growth mod-eling has attracted substantial attention because it helps to comprehend the mechanisms of land use chan...Transformation of land use/land cover change occurs due to the numbers and activities of people.Urban growth mod-eling has attracted substantial attention because it helps to comprehend the mechanisms of land use change and thus helps relevant policies made.This paper tends to apply logistic regression to model urban growth in the Jiayu county of Hubei province,China.It is applied in a GIS environment to calculate variables and,then,in SPSS to discover the relationships between urban growth and the driving forces.The relative operating characteristic(ROC) shows the modeling accuracy with the curve 0.891 with standard er-ror 0.001.A probability map is generated finally to predict where urban growth will occur as a result of the computation.The result shows the model simulates urban growth well in the county scale.展开更多
基金National Natural Science Foundation of China (No.60774023)
文摘An adaptive fuzzy logic controller (AFC) is presented for the signal control of the urban traffic network. The AFC is composed of the signal control system-oriented control level and the signal controller-oriented fuzzy rules regulation level. The control level decides the signal timings in an intersection with a fuzzy logic controller. The regulation level optimizes the fuzzy rules by the Adaptive Rule Module in AFC according to both the system performance index in current control period and the traffic flows in the last one. Consequently the system performances are improved. A weight coefficient controller (WCC) is also developed to describe the interactions of traffic flow among the adjacent intersections. So the AFC combined with the WCC can be applied in a road network for signal timings. Simulations of the AFC on a real traffic scenario have been conducted. Simulation results indicate that the adaptive controller for traffic control shows better performance than the actuated one.
文摘Tuo Shan Yan Dam is a small darn which was built above Yinjiang River at the Yinjiang Town, Ningbo City, Zhejiang Province of China in 833 AD, but it is greatly contributed to Ningbo City, a current big port city of China. The dam and the matched system had become a key hydro-infrastructure to the city＇s existence and development, and irrigation of the countryside nearby the city from ninth century up to 1987, a big dam was built at upper reach to control water of the river. Tuo Shan Yan Dam functioned an important role in the local water management and met a series of purposes perfectly, mainly as： （a） regulation of the river water; （b） save the flood; （c） stop the salinization; （d） urban water supply; （e） storage of flesh water; （f） irrigation; （g） ship transportation. And it is a miracle that it has been functioned for more than one thousand years. This dam also influenced the local social life and people＇s spiritual world simultaneously. The construction of the dam and its matched hydro-system is in line with the Chinese ancient logic of urban water management to manage river to meet a multi-proposes of urban development by a key project and a systemic engineering design. It is an important case for better understanding of ancient Chinese urban water management and to learn from the history for current water sustainability. Accordingly, the dam＇s design, construction and its influence on the local societies are studied in this article.
基金The Ministry of Land and Resources of Public Welfare Scientific Research(No.201411014-2)
文摘Qingdao is one of the essential growth poles in the process of new-type urbanization in Shandong Province. The study on the relationship between urban expansion and driving factors in this area is representative. This paper examined urban expansion from the perspective of non-urban to urban conversion, detailing an empirical investigation into the spatiotemporal variations and impact factors of urban expansion in Qingdao. By using the Urban Expansion Intensity Index （UEII） and Urban Expansion Differentiation Index （UEDI）, the spatial and temporal difference of urban expansion in the Municipal District, Jiaozhou County, Jimo County, Pingdu County, Jiaonan County and Laixi County were calculated on a county unit data set for the period 1990 to 2008. A GIS and logistical regression models were applied for discussing the results of various factors in land use change. Results indicated that the elevation and slope factors showed negative effects to urban expansion. Distance to the city center and to road both also conferred negative effects. The population density and GDP were vital and positive factors of urban conversion. Neighborhood factors showed consistently positive effects. The magnitude of factors was various in different counties. A better understanding of the factors influencing land use change could support land use management and planning decisions.
文摘Transformation of land use/land cover change occurs due to the numbers and activities of people.Urban growth mod-eling has attracted substantial attention because it helps to comprehend the mechanisms of land use change and thus helps relevant policies made.This paper tends to apply logistic regression to model urban growth in the Jiayu county of Hubei province,China.It is applied in a GIS environment to calculate variables and,then,in SPSS to discover the relationships between urban growth and the driving forces.The relative operating characteristic(ROC) shows the modeling accuracy with the curve 0.891 with standard er-ror 0.001.A probability map is generated finally to predict where urban growth will occur as a result of the computation.The result shows the model simulates urban growth well in the county scale.
