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DC Field | Value | Language |
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dc.contributor.author | Harsha, M.M. | |
dc.contributor.author | Mulangi, R.H. | |
dc.date.accessioned | 2020-03-30T10:22:55Z | - |
dc.date.available | 2020-03-30T10:22:55Z | - |
dc.date.issued | 2018 | |
dc.identifier.citation | Proceedings of the 3rd International Conference on Communication and Electronics Systems, ICCES 2018, 2018, Vol., , pp.407-411 | en_US |
dc.identifier.uri | http://idr.nitk.ac.in/jspui/handle/123456789/8873 | - |
dc.description.abstract | A prominent research emphasis on Intelligent Transportation Systems in the present world of technologies is Big Data. The use of big data in many of the projects consisting of Intelligent Transportation Systems especially for public transit vehicles such as buses is currently a subject of interest for many researches. Public transit is of greater importance when it comes to the reduction of traffic congestion and delays in present scenario of rapid increase in private vehicles on the roads. The present study explains the intelligent transport technology applied to the public transit system of Mysore city. The system assists in the collection, storage and analysis of a large data using the latest tools of information technology. This study also tries to make use of the data obtained from Intelligent Transportation System, Mysore to analyze the performance of public transport system. The work involves retrieving of the Global Positioning System data from the database server and analyzing the travel time characteristics of public transit. The travel time data can be utilized for the improvement of service provided by the transit agencies. � 2018 IEEE. | en_US |
dc.title | Public Transit Travel Time Analysis Using GPS Data: A Case Study of Mysore ITS | en_US |
dc.type | Book chapter | en_US |
Appears in Collections: | 2. Conference Papers |
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