Real-Time Traffic Management System Using Machine Learning and Image Processing
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-19-5936-3_39
Reference10 articles.
1. Indrabayu, Bakti RY, Areni IS, Prayogi AA (2016) Vehicle detection and tracking using gaussian mixture model and kalman filter. In: International conference on computational intelligence and cybernetics makassar
2. Rani PJ, Kumar K (2016) Dynamic traffic management system using infrared red(IR) and internet of things (IoT). IEEE transport system conference
3. Ali I, Malik A, Ahmed W, Khan SA (2015) Real-time vehicle recognition and improved traffic congestion resolution. In: 2015 13th international conference on frontiers of information technology (FIT), pp 228–233
4. Bhaskar PK, Yong SP (2014) Image processing based vehicle detection and tracking method. In: 2014 international conference on computer and information sciences (ICCOINS), pp 1–5
5. Tahmid T, Hossain E (2017) Density based smart traffic control system using canny edge detection algorithm for congregating traffic information. In: 3rd international conference on electrical information and communication technology (EICT), pp 1–5
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