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Smart city article details
| Title | Autonomous Traffic Light Control System For Smart Cities |
|---|---|
| ID_Doc | 11495 |
| Authors | Suresh Kumar S.; Rajesh Babu M.; Vineeth R.; Varun S.; Sahil A.N.; Sharanraj S. |
| Year | 2019 |
| Published | Lecture Notes in Networks and Systems, 75 |
| DOI | http://dx.doi.org/10.1007/978-981-13-7150-9_35 |
| Abstract | Nowadays, in the current problems of the smart city implementations, traffic management and control is the most imperative. The conventional traffic control systems lack in the capability of tackling the growth of the road traffic. A Sustainable Urban mobility (Arena et al., AEIT IEEE annual conference 2013, [1]) plan should be put in place by the urban planning authorities in order to efficiently address the traffic-related problems in the smart cities having a focus on the long-term scope of its implementation. This paper focuses on implementing smart traffic control system using intelligent algorithms in an Internet of Things (IoT) (Bhasin et al., IEEE international conference on big data analytics and computational intelligence (ICBDAC), 2017, [2], Kim et al., IEEE transaction on intelligent transportation systems, vol 17, no 8, 2016, [3], Alam and Pandey, IOSR J Comput Eng 16(3):3644, 2014, [4]) based environment. This system follows a decentralized approach which will, in turn, tend to optimize the road traffic by controlling the mobility of the vehicles in the traffic signals (Arena et al., AEIT IEEE annual conference 2013, [1], Uddin et al., Electrical engineering and information communication technology (ICEEICT) 2015 international conference, [5]). This system will overcome the flaws of the current traffic control system by accurately managing all traffic scenarios. This paper primarily presents a comprehensive study of the methodology used by the autonomous traffic light control (ATLC) system, then it focuses on the algorithms used by the system and finally, the paper concludes by stating the advantages and the future work of the ATLC System. © Springer Nature Singapore Pte Ltd. 2019. |
| Author Keywords | ATLC; Commuters; IoT; Tensorflow; Urban planning; Zigbee |
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