Intelligent Traffic Signalling Priority System for Ambulance and VIP Vehicles
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Abstract
The accretion of traffic has led to the use of a more sophisticated Traffic management system in today's society. Traffic Congestion is a significant factor which forestalls the smooth flow of Ambulance and VIP vehicles. To alleviate the inconvenience caused by traffic, the Traffic Light Controller (TLC) is used, which minimises the waiting time of cars and also manages the traffic load. RFID-based systems play a crucial role in solving the problems caused by traffic. The project is a replica of a four-way lane crossing in a real-time scenario. In the first part, which concentrated on issues faced by Ambulances, the RFID concept is used to make the ambulance’s lane green, thus providing a free way without interrupting the Ambulance. In the second part, which concentrated on problems faced by Priority vehicles, IR sensors are used to actuate the timers accordingly and thus prevent traffic congestion. In the third part, focused on Traffic density control, an IR transmitter and receiver are used to provide dynamic traffic control, thereby increasing the duration of the green light in lanes with high traffic density and regulating traffic.
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Sudhamani Chilakala, N Renuka, Suraya Mubeen, “Automation of Traffic Lights through IoT”, IEEE 7th International Conference on Smart Structures and Systems ICSSS 2020. DOI: https://doi.org/10.1109/ICSSS49621.2020.9202275
Hanaa Abohashima, Mohamed Gheith, Amr Eltawil, “A Proposed IoT-Based Smart Traffic Lights Controls System Within a V2X Framework”, 978-1-7281-8226-1/20/31.00,2020 IEEE. DOI: https://doi.org/10.1109/NILES50944.2020.9257874
L. F. P. Oliveira, L. T. Manera, P. D. G. Luz, “Smart Traffic Light Controller System”. 978-1-7281-2949-5/19/31.00,2019 IEEE.
DOI: https://doi.org/10.1109/IOTSMS48152.2019.8939239
Shubhankar Vishwas Bhate, Prasad Vilas Kulkarni, Shubham Dhanaji Lagad, Mahesh Dnyaneshwar Shinde, “IoT-based Intelligent Traffic Signal System for Emergency vehicles”, 978-1-5386-1974-2/18/31.00,2018 IEEE. DOI: https://doi.org/10.1109/ICICCT.2018.8473210
Anitha, K.N. Rama Mohan Babu, “IOT for ITS: An IoT-based dynamic traffic signal control”, 978-1-5386-2456-2/18/31.00,2018 IEEE. DOI: https://doi.org/10.1109/ICIRCA.2018.8597392
Nicole Dliaz, Jorge Guerra, Juan Nicola “Smart Traffic Light Control System”, 978-1-5386-6657-9/18/31.00,2018 IEEE. DOI: http://dx.doi.org/10.1109/ETCM.2018.8580282
Zhijun Li, Chunxiao Li, Yanan Zhang, and Xuelong Hu, “Intelligent Traffic Light Control System Based on Real Time Traffic Flows,” 978-1-5090-6196-9/17/31.00, 2017 IEEE. DOI: https://doi.org/10.1109/CCNC.2017.7983196
Khushi, “Smart Control of Traffic Light System using Image Processing”, 978-1-5386-3243-7/17/31.00,2017 IEEE.
DOI: https://doi.org/10.1109/CTCEEC.2017.8454966
Aneesa Saleh, Steve A. Adeshina, Ahmad Galadima and Okechukwu Ugweje, “ An Intelligent Traffic Control System”, 978-1-5386-2501-9/17/31.00,2017 IEEE. DOI: https://doi.org/10.1109/ICECCO.2017.8333313
Swapnil Manohar Shinde, “Adaptive Traffic Lights Control System”, 978-1-5090-4264-7/17/31.00,2017 IEEE.
DOI: https://doi.org/10.1109/ICISIM.2017.8122189
Bilal Ghazal, Khaled Eikhatib, Khaled Chahine, Mohamad Kherfan, “Smart Traffic Light Control System”, ISBN: 978-1-4673-6942-8/16/31.00,2016 IEEE. DOI: http://dx.doi.org/10.1109/EECEA.2016.7470780
Faisal AlAwadhi, Mohammed Ali Yousef, Abdulrahman Al-Kandari, “Dynamic fuzzy logic traffic light integrated system with Accident Detection System using iTraffic Simulation”, 978-1-5090-0424-9/16 31.00,2016 IEEE. DOI: https://doi.org/10.1109/ACSAT.2015.38
Arwa Ibrahim Ahmed and Ashraf Gasm El Seed, “Intelligent Traffic Light Based On Multi Agent System,” 978-1-4799-2758-6/13 $31.00, 2013 IEEE. DOI: https://doi.org/10.1109/ACSAT.2013.25
Juan He, Song-Yue Yuan, Fei-Qiao Xiong, “Design of Traffic Lights Control System Based on DSP”, 978-1-4673-0875-5/12/31.00,2012 IEEE.
DOI: https://doi.org/10.1109/RSETE.2012.6260527
Liu YangChen XianFeng, “Design of Traffic Lights Controlling System Based on PLC and Configuration Technology,” 978-0-7695-3843-3/09 26.00, 2009 IEEE. DOI: https://doi.org/10.1109/MINES.2009.176