scholarly journals Evaluation of Transfer Efficiency between Subway and Bus Based on the Interval Number Ranking Method by Employing Probability Reliability: Taking Ningbo for Example

2021 ◽  
Vol 2021 ◽  
pp. 1-14
Author(s):  
Zhenyu Chen ◽  
Zhengfeng Huang ◽  
Lingli Yang ◽  
Pengjun Zheng
Keyword(s):  
Order Relation ◽  
Interval Number ◽  
Ranking Method ◽  
Transfer Efficiency ◽  
Transfer Time ◽  
Time Data ◽  
Interval Numbers ◽  
Global Positioning ◽  
Travel Efficiency ◽  
Subway Stations

In recent years, the construction and operation of urban subways have been gradually increasing in developing countries. In the next step, more attention should be paid to the transfer efficiency between subway and bus so as to improve the travel efficiency of more urban residents. This paper uses the probability credibility interval number ranking method to evaluate the bus transfer efficiency. Firstly, this study obtains the dynamic transfer time data by matching individual smart card and subway/bus global positioning system (GPS) records, which is used to evaluate the transfer efficiency of corresponding subway stations. Then, we establish a probability density function to represent the characteristic information of transfer time. Accordingly, the probability reliability model of the order relation of interval numbers can be constructed. In the end, the method is applied to evaluate the transfer efficiency between subway and bus stations in Ningbo. Compared to the traditional interval number ranking method, the evaluation result shows that this method can get a more objective transfer efficiency order relation. The reason is that this method can not only consider the random feature of transfer time but also make use of the data distribution characteristics. This method could be applied to obtain the stations with relatively low transfer efficiency and the feedback can be used for bus line operation and station layout improvement.

scholarly journals Global positioning system resurvey of Southern California Seismic Network stations

1995 ◽  
Vol 85 (1) ◽  
pp. 361-374
Author(s):  
Jennifer S. Haase ◽  
Egill Hauksson ◽  
Hiroo Kanamori ◽  
Jim Mori
Keyword(s):  
Global Positioning System ◽  
Southern California ◽  
Seismic Station ◽  
Seismic Network ◽  
Positioning System ◽  
Dual Frequency ◽  
Time Data ◽  
Phase Measurements ◽  
Station Coordinates ◽  
Global Positioning

Abstract Systematic errors in travel-time data from local earthquakes can sometimes be traced to inaccuracies in the published seismic station coordinates. This prompted a resurvey of the stations of the Caltech/USGS Southern California Seismic Network (SCSN) using the Global Positioning System (GPS). We surveyed 241 stations of the SCSN using Trimble and Ashtech dual-frequency GPS receivers and calculated positions accurate to 3 m using differential positioning from carrier phase measurements. Twelve percent of the stations that were surveyed were found to be mislocated by more than 500 m. Stations of the TERRAscope and USC networks were also surveyed, as well as a network of portable seismic stations deployed shortly after the 1992 Joshua Tree and Landers earthquakes. The new coordinates and the offsets from the old coordinates are given below. The new coordinates are being used in SCSN locations as of 1 January 1994.

scholarly journals Google Traffic sebagai Masukan Kebijakan Transportasi Perkotaan (Studi Kasus: Kota Bandar Lampung)

2020 ◽  
Vol 22 (3) ◽  
pp. 409-417
Author(s):  
Muhammad Zainal Ibad ◽  
Rahayu Sulistyorini ◽  
Chania Rahmah
Keyword(s):  
Urban Areas ◽  
Urban Transportation ◽  
Transportation Policy ◽  
Time Data ◽  
Global Positioning ◽  
Transportation Policies ◽  
Movement System ◽  
Using Data ◽  
The Impact

Congestion in urban areas is vulnerable because of the impact of the growth of activities and an increasingly specialized and complex economy. For this reason, it is necessary to formulate a good urban transportation policy to accommodate increased urban transportation needs. Google Traffic is a feature found on Google Maps to see the level of congestion in an area. Google Traffic can detect an area with red, yellow or green indications through the principle of Real Time Data using data from the Global Positioning System (GPS). This study wanted to see how the use of the Google Traffic Feature as input to urban transportation policies by looking at existing urban transportation policies, analyzing the movement system model on Google Traffic, and analyzing the development of Google Traffic model policies, which would be useful for the development of Urban Transportation Policies, especially Bandar Lampung City as a case study.

Development of an Intelligent Patrol Routing System Using GIS and Computer Simulations

2011 ◽  
pp. 339-351 ◽  
Author(s):  
Joseph Szakas ◽  
Christian Trefftz ◽  
Raul Ramirez ◽  
Eric Jefferis
Keyword(s):  
Information System ◽  
Real Time ◽  
Data Sets ◽  
Time Data ◽  
Map Algebra ◽  
Positioning Systems ◽  
Global Positioning ◽  
Real Time Data ◽  
Patrol Routing ◽  
Patrol Strategies

Patrolling in a nonrandom, but focused manner is an important activity in law enforcement. The use of geographic information systems, the emerging real-time data sets (spatial and nonspatial) and the ability via global positioning systems to identify locations of patrol units provide the environment to discuss the concept and requirements of an intelligent patrol routing system. This intelligent patrol routing system will combine available data utilizing Map Algebra and a data structure known as a Voronoi diagram to create a real-time updatable raster surface over the patrolling area to identify destination locations and routes for all patrol units. This information system will allow all patrol units to function “in concert” under a coordinated plan, and make good use of limited patrolling resources, and provide the means of evaluating current patrol strategies. This chapter discusses the algorithmic foundation, implications, requirements, and simulation of a GIS based intelligent patrol routing system.

scholarly journals Using Mapping, Global Positioning System (GPS) and Smart Phone Technology in Rabies Control Program in Kotagiri, Nilgiris District, India

2018 ◽  
Vol 35 ◽  
pp. 122-133
Author(s):  
E. Pandey ◽  
D.K. Singh ◽  
R. Raut
Keyword(s):  
Global Positioning System ◽  
Data Entry ◽  
Smart Phone ◽  
Control Program ◽  
Positioning System ◽  
Team Management ◽  
Time Data ◽  
High Coverage ◽  
Canine Rabies ◽  
Global Positioning

In this study, we utilized a catch-vaccinate-release approach for dogs in a canine rabies vaccination program in Kotagiri municipality, India. Following vaccination, surveys on dog population and their vaccination status was undertaken. A bespoke smartphone ‘Mission Rabies’ application was developed to facilitate data entry and team management. This global positioning system (GPS) enabled application captured the location of all vaccinated dogs and dogs sighted on post-vaccination surveys. In areas where coverage was below 70%, catching teams were re-deployed to vaccinate additional dogs followed by repeat survey. Out of 248 dogs captured, only 210 dogs were vaccinated because of the previous vaccination history within a year, and refusal of owner due to their misconceptions. In survey, 147 dogs were sighted of which 77 were seen marked with paints indicating a vaccination coverage of 52.4%. The total estimated dog population was found to be 475. Our study demonstrated that mobile technology enabled efficient team management and real-time data entry and analysis. The vaccination approach outlined in this study can serve as a guideline for rapid vaccination of large numbers of dogs with a high coverage rate in free roaming dog populations in India in the future.

scholarly journals DENSITY AGGREGATION OPERATORS BASED ON THE INTUITIONISTIC TRAPEZOIDAL FUZZY NUMBERS FOR MULTIPLE ATTRIBUTE DECISION MAKING

2014 ◽  
Vol 19 (Supplement_1) ◽  
pp. S454-S470 ◽  
Author(s):  
Peide Liu ◽  
Xiaocun Yu
Keyword(s):  
Decision Making ◽  
Fuzzy Numbers ◽  
Multiple Attribute Decision Making ◽  
Expected Value ◽  
Aggregation Operators ◽  
Ranking Method ◽  
Interval Numbers ◽  
Trapezoidal Fuzzy Numbers ◽  
Multiple Attribute

With respect to the multiple attribute decision making problems in which the attribute values take the form of the intuitionistic trapezoidal fuzzy numbers, some methods based on density aggregation operators are proposed. Firstly, the definition, expected value and the ranking method of intuitionistic trapezoidal fuzzy numbers are introduced, and the method of calculating density weighted vector is proposed. Then some density aggregation operators based on interval numbers and intuitionistic trapezoidal fuzzy numbers are developed, and a multiple attribute decision making method is presented. Finally an illustrative example is given to verify the developed approach and to demonstrate its practicality and effectiveness.

A QUANTITY PROPERTY-BASED FUZZY NUMBER RANKING METHOD FOR DECISION MAKING WITH UNCERTAINTY

2012 ◽  
Vol 20 (supp01) ◽  
pp. 133-145 ◽  
Author(s):  
FACHAO LI ◽  
FEI GUAN ◽  
CHENXIA JIN
Keyword(s):  
Decision Making ◽  
Fuzzy Number ◽  
Fuzzy Numbers ◽  
Ranking Method ◽  
Fuzzy Decision Making ◽  
Fuzzy Decision ◽  
Interval Numbers ◽  
Interval Representation ◽  
Ranking Model ◽  
Key Issues

One of the key issues for support fuzzy decision-making is fuzzy number ranking. The existing ranking methods either do not provide a total ordering or cannot be effectively applied to decision-making processes. In this paper, we first give five basic principles that interval number ranking must satisfy, and construct a quantitative ranking model of interval numbers based on the synthesis effects of each index. We then propose a new constructions method of synthesis effect function systematically. Third, we also develop a new fuzzy numbers ranking model based on numerical characteristics, combining with the interval representation theorem of fuzzy numbers, and analyze the performance and characteristics of this ranking method by a case-based example. The results indicate that this proposed ranking method has good operability and interpretability, which can integrate the decision consciousness into decision process effectively and serve as a guideline for constructing different fuzzy decision methods.

Lattice Ordered Evaluation Method of Equipment Response Event to Voltage Sag

2013 ◽  
Vol 336-338 ◽  
pp. 399-403
Author(s):  
Ying Wang ◽  
Da Yang ◽  
Yang Liu ◽  
Ce Chen
Keyword(s):  
Personal Computer ◽  
Evaluation Method ◽  
Interval Number ◽  
Voltage Sag ◽  
Interval Numbers ◽  
Lattice Order ◽  
Possibility Degree ◽  
Upper And Lower Probabilities ◽  
Relationship Of ◽  
Degree Matrix

Considering the multi-valued mapping relationship of equipment response event to voltage sag, a lattice ordered evaluation method is proposed in this study. Each possible resulting state of equipment response event is described by an interval number. The interval numbers is with the characteristics of lattice order presented by the upper and lower probabilities. The possibility degree matrix is introduced to compare resulting states without satisfying the axioms of connectedness. Personal computer is simulated and compared testing results. The results have shown the validity and feasibility.

The Research about Sorting Methods of Quality Curriculum Assessment Based on Interval Numbers

2014 ◽  
Vol 926-930 ◽  
pp. 3633-3636
Author(s):  
Yue Bao ◽  
Yu Ming Li ◽  
Bo Zhao
Keyword(s):  
Number Theory ◽  
Interval Number ◽  
Comprehensive Analysis ◽  
Interval Numbers ◽  
Sorting Method ◽  
Factors Affecting ◽  
Curriculum Assessment ◽  
Assess Quality ◽  
Weighting Methods

Utilizing interval number theory, this paper explores a sorting method to assess quality curriculum. Based on comprehensive analysis of a variety of factors affecting quality curriculum, using combination weighting methods of objective and subjective, we give the corresponding weight interval values of evaluation indicators. Furthermore, we give the sorting steps of quality curriculum assessment based on interval numbers, and give an application instance.

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