Abstract
In today’s world, traffic congestion has become a major issue in nearly all of the major cities around the globe. Due to an increase in the number of vehicles on the road, the intersections (or junctions) are major hotspots of congestion, so to maintain a proper flow, traffic intersections are installed with traffic lights that control the flow of the traffic moving in a particular direction. Traffic lights were first used nearly a century ago, but there have not been any major advancements in the functioning of traffic lights that can cope up with the requirements of today’s traffic. Nowadays, due to a lack of optimization in the timings of traffic lights, they can further cause more delays and congestions which causes environmental issues (like increased CO2 emissions and noise pollution), road rage, mental frustration, etc. This paper addresses the problem of traffic lights not having the optimized timings of signal for each direction due to the unavailability of robust, pro-active and real-time analysis of traffic and then analyzing and predicting the best timings of traffic lights based upon the size (small, medium, or large) and class (emergency and normal) of vehicles.
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References
1.2 billion vehicles on world’s roads now, 2 billion by 2035: report. https://www.greencarreports.com/news/1093560_1-2-billion-vehicles-on-worlds-roads-now-2-billion-by-2035-report. Accessed 24 Jul 2021
The history of traffic lights—lighting equipment sales. http://lightingequipmentsales.com/the-history-of-traffic-lights.html. Accessed 24 Jul 2021
What is the definition of maequal rights chine learning?|Expert.ai|Expert.ai. https://www.expert.ai/blog/machine-learning-definition/. Accessed 24 Jul 2021
Home—OpenCV. https://opencv.org/. Accessed 24 Jul 2021
Kanungo A, Sharma A, Singla C (2014) Smart traffic lights switching and traffic density calculation using video processing. Recent Adv Eng Comput Sci RAECS 2014. https://doi.org/10.1109/RAECS.2014.6799542
Sharma M, Bansal A, Kashyap V, Goyal P, Sheikh TH (2021) Intelligent traffic light control system based on traffic environment using deep learning. IOP Conf Ser Mater Sci Eng 1022(1):012122. https://doi.org/10.1088/1757-899X/1022/1/012122
Meng BCC, Damanhuri NS, Othman NA (2021) Smart traffic light control system using image processing. IOP Conf Ser Mater Sci Eng 1088(1):012021. https://doi.org/10.1088/1757-899X/1088/1/012021
Bagheri E, Bagheri E, Faizy M (2007) A novel fuzzy control model of traffic light timing at an urban intersection
Lee W-H, Chiu C-Y (2020) Design and implementation of a smart traffic signal control system for smart city applications. Sensors 20(2):508. https://doi.org/10.3390/S20020508
Srinath S, Bhandari SS (2014) A novel approach for emergency vehicle detection and traffic light control system. Sci Technol Eng 3:400–405. Accessed: 24 Jul 2021. [Online]. Available: www.erpublications.com
Ng S-C, Kwok C-P (2020) An intelligent traffic light system using object detection and evolutionary algorithm for alleviating traffic congestion in Hong Kong. Int J Comput Intell Syst 13(1):802–809. https://doi.org/10.2991/IJCIS.D.200522.001
Natafgi MB, Osman M, Haidar AS, Hamandi L (2018) Smart traffic light system using machine learning. In: IEEE international multidisciplinary conference on engineering technology IMCET. https://doi.org/10.1109/IMCET.2018.8603041
Joshi T, Badoni P, Choudhury T, Aggarwal A (2019) Modification of Weiler-Atherton algorithm to address loose polygons. J Sci Ind Res 78:771–774
Goel S, Sai Sabitha A, Choudhury T, Mehta IS (2019) Analytical analysis of learners’ dropout rate with data mining techniques. In: Rathore V, Worring M, Mishra D, Joshi A, Maheshwari S (eds) Emerging trends in expert applications and security. Advances in intelligent systems and computing, vol 841. Springer, Singapore. https://doi.org/10.1007/978-981-13-2285-3_69
What are edge servers and how are they used?|OnLogic|Edge Servers. https://www.onlogic.com/company/io-hub/what-are-edge-servers/. Accessed 13 Jul 2021
1. Introduction to image processing|Digital Image Processing. https://sisu.ut.ee/imageprocessing/book/1. Accessed 24 Jul 2021
Tomar R, Sastry HG, Prateek M (2020) A V2I based approach to multicast in vehicular networks. Malays J Comput Sci 93–107. Retrieved from https://jupidi.um.edu.my/index.php/MJCS/article/view/27337
Jain S, Sharma S, Tomar R (2019) Integration of wit API with python coded terminal bot. In: Abraham A, Dutta P, Mandal J, Bhattacharya A, Dutta S (eds) Emerging technologies in data mining and information security. Advances in intelligent systems and computing, vol 814. Springer, Singapore. https://doi.org/10.1007/978-981-13-1501-5_34
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Sethi, P.S., Jain, A., Kumar, S., Tomar, R. (2022). Context-Driven Method for Smarter and Connected Traffic Lights Using Machine Learning with the Edge Servers. In: Skala, V., Singh, T.P., Choudhury, T., Tomar, R., Abul Bashar, M. (eds) Machine Intelligence and Data Science Applications. Lecture Notes on Data Engineering and Communications Technologies, vol 132. Springer, Singapore. https://doi.org/10.1007/978-981-19-2347-0_43
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