Mehta, Utkal V. and Khirwadkar, A. and Makwana, B. and Kakadiya, D. (2013) Vehicle guidance and traffic control system. UNSPECIFIED. (Unpublished)
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Abstract
An intelligent traffic guidance system is designed to provide real time information about the vehicle traffic situation online. In this concept, every vehicle on road is equipped with a RF-ID tag and a GSM module. RF-ID Receivers would be employed at particular zones and intersections, which will sense traffic conditions based on the RF-ID tags of vehicles. The information would be provided to a server or central governance system which would be analyzed and further forwarded to the user about traffic condition through GSM network. This information will be displayed on LCD screen in form of Maps and real time condition. This data would also be useful in routing the traffic through traffic signals based on traffic density and avoid traffic jams and chaos. Moreover special RF-ID’s would be provided to the emergency vehicles (i.e. Police, Ambulance etc). During emergency these vehicles will be detected and the traffic ahead will be notified to make way for the vehicle. Further every vehicle could be equipped with pollution sensor which will gather the data from vehicle’s exhaust. Government could track down the vehicle if the pollution level exceeds the limit and necessary action can be taken. This will be very useful for city users where traffic is a major problem. Cops can easily find theft vehicles. At the time of emergency on highway one can get help by pressing just a button. Thus this system provides a multi-dimensional prospect, making the system more effective and robust for traffic management.
Item Type: | Other |
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Uncontrolled Keywords: | Conference, Presentation |
Subjects: | T Technology > TA Engineering (General). Civil engineering (General) |
Divisions: | Faculty of Science, Technology and Environment (FSTE) > School of Engineering and Physics |
Depositing User: | Utkal Mehta |
Date Deposited: | 04 Apr 2014 04:15 |
Last Modified: | 21 Jun 2016 23:55 |
URI: | https://repository.usp.ac.fj/id/eprint/5971 |
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