An Oil Transportation Network Planning Method Based on Evolution

2012 ◽  
Vol 522 ◽  
pp. 915-920
Author(s):  
Guo Rong Chen ◽  
Xiao Bo Chen
Keyword(s):  
Growth Process ◽  
Transportation Network ◽  
Economic Effect ◽  
Network Planning ◽  
Clustering Coefficient ◽  
Planning Method ◽  
Oil Transportation ◽  
Designing Method

In order to resolve the problem of difficult planning the layout in oil transportation network, a new planning method based on evolution is put forward out in the paper. Firstly, the economic effect in the growth process of oil transportation network is analyzed, then, the attachment formula comes with the growth of the network; based on it, the growth process of adding nodes and edges is discussed, and the clustering coefficient is arrived to balance the degree of the nodes. Case study shows that the evolution designing method is reasonable.

Circular Bus Network Planning Method in Chessboard-Shaped Road Network

2012 ◽  
Vol 209-211 ◽  
pp. 730-734 ◽  
Author(s):  
Qi Chen ◽  
Qing Lu
Keyword(s):  
Objective Function ◽  
Public Transportation ◽  
Road Network ◽  
Transportation Network ◽  
Network Planning ◽  
Large Degree ◽  
Planning Method ◽  
Linear Coefficient ◽  
The Status ◽  
Bus Network

Bus routes planning is the key to the design of public transport system, it determines the status of public transports at a large degree. For the existing bus network traffic problems, such as bus traffic is not balanced in both pace and time, flat-peak conversion is slow, non-linear coefficient is high. Therefore a circular bus network planning method is put out. The overall interests of passenger and bus operators are used as the objective function; the public transportation network technical indicators are used as the constraint conditions. When designing the network, the transfer coefficient and the line length are used for the control conditions. The main through passenger is satisfied at first, and the initial network is laid out by the circular line. Then the bus network is revised according to the constraints conditions with the status of the road network. From the different purposes, different option should be compared by the value of objective function, and the optimal one is gained at last.

Evaluation of Nodes Importance in of Highway Transportation Hubs Planning Based on Fuzzy-AHP

2012 ◽  
Vol 253-255 ◽  
pp. 1181-1187
Author(s):  
Shen E Xi
Keyword(s):  
Evaluation System ◽  
Fuzzy Ahp ◽  
Transportation Network ◽  
Network Planning ◽  
Traffic Volume ◽  
Shandong Province ◽  
Highway Traffic ◽  
Highway Transportation ◽  
Made In

Nodes importance evaluation is the element of transportation network planning. From the aspects of society and economy, highway traffic volume, traffic location, an evaluation system on nodes importance and traffic location of Highway Transportation Junction is established. For the accuracy of evaluation, Fuzzy-AHP is applied to calculate weight of each indicator as fuzziness is existed when factors are compared mutually. Besides, case study is made in Shandong Province, results demonstrate that it is scientific and feasible for planning of highway transportation hubs.

scholarly journals Optimized Strategic Planning of Future Norwegian Low-Voltage Networks with a Genetic Algorithm Applying Empirical Electric Vehicle Charging Data

Electricity ◽  
2021 ◽  
Vol 2 (1) ◽  
pp. 91-109
Author(s):  
Julian Wruk ◽  
Kevin Cibis ◽  
Matthias Resch ◽  
Hanne Sæle ◽  
Markus Zdrallek
Keyword(s):  
Genetic Algorithm ◽  
Electric Vehicle ◽  
Electric Vehicles ◽  
Low Voltage ◽  
Network Planning ◽  
Voltage Regulation ◽  
Electric Vehicle Charging ◽  
Vehicle Charging ◽  
The Impact

This article outlines methods to facilitate the assessment of the impact of electric vehicle charging on distribution networks at planning stage and applies them to a case study. As network planning is becoming a more complex task, an approach to automated network planning that yields the optimal reinforcement strategy is outlined. Different reinforcement measures are weighted against each other in terms of technical feasibility and costs by applying a genetic algorithm. Traditional reinforcements as well as novel solutions including voltage regulation are considered. To account for electric vehicle charging, a method to determine the uptake in equivalent load is presented. For this, measured data of households and statistical data of electric vehicles are combined in a stochastic analysis to determine the simultaneity factors of household load including electric vehicle charging. The developed methods are applied to an exemplary case study with Norwegian low-voltage networks. Different penetration rates of electric vehicles on a development path until 2040 are considered.

Words, constructions and corpora: Network representations of constructional semantics for Mandarin space particles

2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Alvin Cheng-Hsien Chen
Keyword(s):  
Clustering Coefficient ◽  
Linguistic Knowledge ◽  
Scale Free ◽  
Network Analyses ◽  
Semantic Fields ◽  
Text Corpora ◽  
Quantitative Properties ◽  
Local Clustering Coefficient ◽  
Linguistic Units

AbstractIn this study, we aim to demonstrate the effectiveness of network science in exploring the emergence of constructional semantics from the connectedness and relationships between linguistic units. With Mandarin locative constructions (MLCs) as a case study, we extracted constructional tokens from a representative corpus, including their respective space particles (SPs) and the head nouns of the landmarks (LMs), which constitute the nodes of the network. We computed edges based on the lexical similarities of word embeddings learned from large text corpora and the SP-LM contingency from collostructional analysis. We address three issues: (1) For each LM, how prototypical is it of the meaning of the SP? (2) For each SP, how semantically cohesive are its LM exemplars? (3) What are the emerging semantic fields from the constructional network of MLCs? We address these questions by examining the quantitative properties of the network at three levels: microscopic (i.e., node centrality and local clustering coefficient), mesoscopic (i.e., community) and macroscopic properties (i.e., small-worldness and scale-free). Our network analyses bring to the foreground the importance of repeated language experiences in the shaping and entrenchment of linguistic knowledge.

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