Please use this identifier to cite or link to this item: http://localhost:8080/xmlui/handle/123456789/1777
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dc.contributor.authorD.C. Kiruthikka
dc.contributor.authorS. Pavalarajan
dc.contributor.authorC Kalaiarasanc
dc.date.accessioned2022-05-23T08:44:18Z-
dc.date.available2022-05-23T08:44:18Z-
dc.date.issued2019
dc.identifier.citationInternational Journal of Engineering & Technology
dc.identifier.urihttp://localhost:8080/xmlui/handle/123456789/1777-
dc.description.abstractThe need for effective transportation is a must for a country like India with multiple states and languages. But due to the complex system of public transport effective services was not considered a priority earlier. When we come to a new place, a hurdle to reach your designated place due to a lack of information on public transport is higher. This is a nationwide problem. The manual timekeeping methodology also became obsolete by the growth of public transport and with a growing population. Indian public bus transport has a huge number of 112 thousand buses with the annual growth of 5percent. To make a tracking and monitoring system for this amount of buses is completely a burden for the budget makers. The present-day GPS tracking systems need at least a twenty-five thousand rupees system per bus. This is not going to possible for present-day Indian scenario. So, we came up with a software-based vehicle tracking in pre-defined routes. This is done using various kinds of collectors with mobile applications and sensors. The role of kinematics is kept higher here than the GPS sensor data. Open-source mapping API is used to give the end-users a visualized outlook. This kind of software system reduces the economic burden for the monitoring and estimation process with 90 percent accuracy in the simulation stages.
dc.format.extent8(3)
dc.language.isoen
dc.publisherEngg Journals Publications
dc.titleA Novel Approach on Transport Information System for Pre-Defined Routes Using Traffic Estimation Framework and Open Layer JS
dc.typeArticle
Appears in Collections:Computer Science Engineering Department

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