stdClass Object ( [id] => 14076 [paper_index] => 202409-01-018283 [title] => AN IOT BASED SYSTEM FOR TRAFFIC CONTROL [description] => [author] => Petchiammal, Linet winsha, Ayyappa Srinivasan M G [googlescholar] => [doi] => [year] => 2024 [month] => September [volume] => 10 [issue] => 9 [file] => fm/jpanel/upload/2024/October/202409-01-018283.pdf [abstract] => A webcam and sensor-based automated Pi-based traffic control system that helps to lessen traffic density at congested intersections. This traffic infrastructure's design can aid in preventing traffic jams. This paper discusses a system that uses webcams and a Raspberry Pi to control traffic junction lanes based on traffic volume and RFID sensors to prioritize emergency vehicles for passenger safety. Consequently, the traffic system can be made exponentially better, which could result in a progressive improvement in the traffic system as a whole. [keywords] => IoT, Webcam, Traffic Control [doj] => 2024-10-02 [hit] => [status] => [award_status] => P [orderr] => 100 [journal_id] => 1 [googlesearch_link] => [edit_on] => [is_status] => 1 [journalname] => EPRA International Journal of Multidisciplinary Research (IJMR) [short_code] => IJMR [eissn] => 2455-3662 (Online) [pissn] => - -- [home_page_wrapper] => images/products_image/11.IJMR.png ) Error fetching PDF file.