| Title |
Next Generation Intelligent Traffic Management System and Analysis for Smart Cities |
| ID_Doc |
44747 |
| Authors |
Megha, HN; Goudar, RH |
| Title |
Next Generation Intelligent Traffic Management System and Analysis for Smart Cities |
| Year |
2017 |
| Published |
|
| DOI |
|
| Abstract |
In this paper a traffic control system which makes use of video surveillance is described. The application will analyse the data of image/video footage which can locate individuals who are disrupting the activity rules. Since, conventional PC vision procedures cannot analyse tremendous amount of information produced continuously, there is a requirement for big data visualization like images or videos etc. A framework is proposed called intelligent traffic management system for the way diversion in one or the other way when there is a traffic congestion, and to find the general population who are damaging the traffic activity rules like riding the bike without helmet, and who are crossing the traffic signals etc, these can be detected automatically with the help of cameras and sensors because it will help us to identify the person easily even though when there is an absence of traffic police in the city, and the details should be extracted from the database of the RTO which will make the traffic system as smarter and will make the city as smarter city and the smooth flow of traffic will be expected. |
| Author Keywords |
Traffic analysis; Intelligent traffic management system; Smart city; Automated sensing; OCR |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Conference Proceedings Citation Index - Science (CPCI-S) |
| EID |
WOS:000434278900186 |
| WoS Category |
Engineering, Electrical & Electronic |
| Research Area |
Engineering |
| PDF |
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