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Feasible Route Search on Road Networks by Using Clues

Authors(2) :-M. Sandhya Rani, Dr. R. Muragadoss

The booming industry of location based services is accumulated many collection of users location trajectories of driving, cycling, hiking. We find the problem of discovering the Most Popular Route (MPR) between two locations by taking the traveling behaviors of many backend users. To determining the waiting time every parking vertex to achieve the minimal on-road time becomes a big challenge which further breaks FIFO property. We propose two efficient algorithms using minimum on-road travel cost function to answer the query. This paper focuses on the highly developed solution is using ACO algorithm. It also applied the method considering flow, distance, cost, and emergency. Given a query location and a set of candidate objects in a road network the kNN search finds the k nearest objects to the query location. We propose balanced search tree index, called G tree. The G tree is road network and constructed by recursively partitioning the road network into sub-networks and each G-tree node corresponds to a sub-network. Propose a class of routing schemes is finding the nodes of highest utility for routing improving the delay and delivery ratio. Additionally proposed an analytical framework based on fluid models is used to analyze the performance of many opportunistic routing strategies, in heterogeneous settings.
M. Sandhya Rani, Dr. R. Muragadoss
Social Routing, Social Metrics, Road network, spatial databases, events, geo streaming, mustier solution, traffic analytics.
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Publication Details
  Published in : Volume 4 | Issue 5 | March-April 2018
  Date of Publication : 2018-04-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 01-06
Manuscript Number : IJSRST184511
Publisher : Technoscience Academy
PRINT ISSN : 2395-6011
ONLINE ISSN : 2395-602X
Cite This Article :
M. Sandhya Rani, Dr. R. Muragadoss, "Feasible Route Search on Road Networks by Using Clues", International Journal of Scientific Research in Science and Technology(IJSRST), Print ISSN : 2395-6011, Online ISSN : 2395-602X, Volume 4, Issue 5, pp.01-06, March-April-2018.
Journal URL : http://ijsrst.com/IJSRST184511

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