FCM clustering using GPS data for defining level of service criteria of urban streets in indian context

Summary. At present speed ranges for Levels of Service (LOS) categories are not well defined for highly heterogeneous traffic flow on urban streets in Indian context. In this regard a study was carried out in the city of Mumbai in India. The objective of this research work is to define free-flow speed ranges of urban street classes and speed ranges of LOS categories. In this regard speed data were collected using GPS palmtop and Fuzzy C-Means (FCM) clustering is used to define the speed ranges. It is found from this study that speed-ranges for LOS categories in Indian context are lower than that mentioned in Highway Capacity Manual.

[1]  Prasanta Kumar Bhuyan,et al.  Genetic algorithm fuzzy clustering using GPS data for defining level of service criteria of urban streets , 2012 .

[2]  Partha Chakroborty,et al.  Frameworks to Represent Uncertainty When Level of Service Is Determined , 2006 .

[3]  Pawan Lingras,et al.  Statistical and Genetic Algorithms Classification of Highways , 2001 .

[4]  Sally Jensen,et al.  Pedestrian and Bicyclist Level of Service on Roadway Segments , 2007 .

[5]  James C. Bezdek,et al.  Pattern Recognition with Fuzzy Objective Function Algorithms , 1981, Advanced Applications in Pattern Recognition.

[6]  Stephen G. Ritchie,et al.  Real-Time Inductive-Signature-Based Level of Service for Signalized Intersections , 2001 .

[7]  James C. Bezdek,et al.  Validity-guided (re)clustering with applications to image segmentation , 1996, IEEE Trans. Fuzzy Syst..

[8]  Ignacio Pérez Pérez,et al.  Measures of Effectiveness for Level-of-Service Assessment of Two-Lane Roads: An Alternative Proposal Using a Threshold Speed , 2006 .

[9]  B R Marwah,et al.  LEVEL OF SERVICE CLASSIFICATION FOR URBAN HETEROGENEOUS TRAFFIC: A CASE STUDY OF KANPUR METROPOLIS , 2000 .

[10]  Norman Ashford,et al.  EVALUATION OF TRANSPORTATION LEVEL OF SERVICE USING FUZZY SETS , 1994 .

[11]  Anil K. Jain,et al.  Algorithms for Clustering Data , 1988 .

[12]  James C. Bezdek,et al.  Some new indexes of cluster validity , 1998, IEEE Trans. Syst. Man Cybern. Part B.

[13]  Samer Madanat,et al.  METHODOLOGY FOR DETERMINING LEVEL OF SERVICE CATEGORIES USING ATTITUDINAL DATA , 1994 .

[14]  S. B. Pattnaik,et al.  LEVEL OF SERVICE OF URBAN ROADS BASED ON USERS' PERCEPTION , 1996 .

[15]  Shing Chung Josh Wong,et al.  Modeling level of urban taxi services using neural network , 1999 .

[16]  S. L. Dhingra,et al.  Modeling Congestion on Urban Roads and Assessing Level of Service , 1999 .

[17]  M. Baucus.  Transportation Research Board , 1982 .

[18]  Pawan Lingras,et al.  CLASSIFYING HIGHWAYS: HIERARCHICAL GROUPING VERSUS KOHONEN NEURAL NETWORKS , 1995 .

[19]  Toru Hagiwara,et al.  Overall Level of Service of Urban Walking Environment and Its Influence on Pedestrian Route Choice Behavior , 2007 .