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Durga Rani, K.
- Analysis of Road Network in Visakhapatnam City using Geographical Information Systems
Abstract Views :515 |
PDF Views:97
Authors
Affiliations
1 Dept., Of Civil Engineering, GITAM University, Visakhapatnam, AP, IN
2 Dept., of Civil Engineering, Andhra University, Visakhapatnam, AP, IN
1 Dept., Of Civil Engineering, GITAM University, Visakhapatnam, AP, IN
2 Dept., of Civil Engineering, Andhra University, Visakhapatnam, AP, IN
Source
Indian Journal of Innovations and Developments, Vol 1, No 5 (2012), Pagination: 395-399Abstract
The work "analysis of road network using GIS" is carried out with an idea to connect major roads in Visakhapatnam in the shortest path possible. The required data has been collected from Google Earth, geo referenced in ERDAS and represented using ARC-GIS applications. Major roads networks in Visakhapatnam have been Identified and digitized. They have been classified, major junctions and landmarks are represented. The shortest path between any two points within the road network is determined using GIS. The work also can be extended to generate a traffic control mechanism provide many solutions to develop fastest route, new service area and closest facility etc.Keywords
Shortest Path, GIS, ERDAS, ARC-GIS, New Service area, Closest facilityFull Text
References
- Armstrong MP (1994) Requirements for the development of GIS-based group decision-support systems. J. Am. Soc. Inf. Sci., 45, 669–677.
- Aspinall R and Pearson D (2000) Integrated geographical assessment of environmental condition in water catchments: Linking landscape ecology, environmental modelling and GIS. J. Environ. Manage., 59(4), 299-319.
- Alexis Comber, Chris Brunsdon and Edmund Green (2008) Using a GIS-based network analysis to determine urban green space accessibility for different ethnic and religious groups. Landscape and Urban Plann., 86(1), 103-114.
- Atsuyuki Okabe, Kei-ichi Okunuki and Shinno Shiode (2006) A Toolbox for Spatial Analysis on a Network. Geogr. Anal., 38(1), 57-66.
- Nicholls S (2001) Measuring the accessibility and equity of public parks: a case study using GIS. Managing Leisure, 6(4), 201-219.
- Jianjun Zhang, John Hodgson and Erhan Erkut (2000) Using GIS to assess the risks of hazardous materials transport in networks. Eur. J. Oper. Res., 121(2), 316-329.
- Identification of Black Spots and Junction Improvements in Visakhapatnam City
Abstract Views :369 |
PDF Views:75
Authors
Affiliations
1 Department of Civil Engineering, GITAM University, Visakhapatnam, IN
2 Department of Civil Engineering, Andhra University, Visakhapatnam, IN
1 Department of Civil Engineering, GITAM University, Visakhapatnam, IN
2 Department of Civil Engineering, Andhra University, Visakhapatnam, IN
Source
Indian Journal of Innovations and Developments, Vol 1, No 6 (2012), Pagination: 469-471Abstract
Transportation contributes to the economic, industrial, social and cultural development of any country. Transportation by road is the only mode which could give maximum service to one and all. Due to the increase in population, number of vehicles is increasing day by day which leads to the increase in road network. It has been estimated that over 30,000 persons die and over 10 to 15 million persons are injured every single year in road accidents throughout the world. The present work intended in identifying various black spots (accident prone location) in Visakhapatnam city. The causes of accidents are studied and suggested different remedial measures to reduce number of accidents.Keywords
Black Spot, Accidents, Road NetworkFull Text
References
- Gopala Raju SSSV (2011) Vehicular growth and its management: Visakhapatnam city in India– A case study, Ind J Sci Technol, 4(8), 903-906.
- Tuenjai Fukuda (2005) Empirical study on identifying potential black spots through public participation approach, J Eastern Asia soc. Transport. Stud. 6, 3683-3696.
- Haque MM, Chin HC and Huang H (2010) Applying Bayesian hierarchical models to examine motorcycle crashes at signalized intersections, Accident Anal Prev. 42(1), 203-212.
- Huang H, Chin HC, Haque MM (2009) Empirical evaluation of alternative approaches in identifying crash hotspots: naive ranking, empirical Bays and full Bays. Transportation Research Record, 2103, 32-41.
- Miaou SP (1994) The relationship between truck accidents and geometric design of road section: Poisson versus negative binomial regression. Accident Anal Prev. 26(4), 471-482.