Transportation Network Analysis Using Fuzzy Logic Through GIS Techniques: A Study of Central Kolkata

Autor:	Amrita Sarkar
Rok vydání:	2021
Předmět:	Matching (statistics) Traffic congestion Operations research Process (engineering) Computer science ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS Volume (computing) Direct path Flow network Fuzzy logic Network analysis
Zdroj:	Lecture Notes in Electrical Engineering ISBN: 9789811602740
DOI:	10.1007/978-981-16-0275-7_12
Popis:	Traffic congestion has become a very undesirable aspect of urban living throughout the world. From this paper it is inferred that the conventional way of determining congestion using volume and capacity is not matching with the actual traffic conditions. Directly and precisely measurable quantities such as Speed and Inter Vehicular Distance (IVD) were the two parameters considered for input in the Fuzzy model to quantify the congestion in par with reality. The network analysis such as the most direct path between two points and the optimum route between many points using GIS was carried out in Central Kolkata. This paper describes the process of quantifying congestion using Fuzzy tools and techniques and also discusses the process of network analysis. This paper combines the advantages of both Fuzzy logic and GIS to offer public, policy makers and traffic managers a new means to assess congestion as short and medium term measures.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::6df879f7ae5635012f877b766172fa2d https://doi.org/10.1007/978-981-16-0275-7_12 Zobrazit plný text záznamu