Open Access Open Access  Restricted Access Subscription Access

Traffic Clearance for Ambulance during Pandemic Situation and Road Accidents Using LoRaWAN Network


Affiliations
1 Department of Electronics and Communication Engineering, PSG College of Technology, Coimbatore-641 004, Tamil Nadu, India
 

Intelligent Transportation System (ITS) plays an important role in handling pandemic situation and disaster management. Due to rapid urbanization, there is a requirement for implementing an effective traffic control system not only to avoid heavy congestion but also to make a better solution for ambulance clearance which would help to save the human life. The proposed work intends to implement an effective traffic control system using Long-Range Wide Area Network (LoRaWAN) that provides seamless traffic clearance for ambulances, so that they reach the hospitals without any delay. Cupcarbon, a Wireless Sensor Network (WSN) simulator, is used to evaluate the performance of the proposed work. The simulation involves a case study considering an accident zone in Coimbatore city and the performance of the proposed system is compared with that of existing systems. The simulation results prove that LoRaWAN can be used to effectively control the traffic lights with a wider coverage range, as compared to existing systems.

Keywords

Cupcarbon, ITS, LoRaWAN, Traffic Management, WSN.
User
Notifications
Font Size

  • https://www.thethingsnetwork.org/docs/lorawan/ (09 February 2023)
  • Rizzi M, Ferrari P, Flammini A & Sisinni E, Evaluation of the IoT LoRaWAN solution for distributed measurement applications, IEEE Trans Instrum Meas, 66(12) (2017) 3340–3349, doi:10.1109/TIM.2017.2746378.
  • Mamata R, Smart traffic management system for traffic control using automated mechanical and electronic devices, in IOP Conf Series: Mater Sci Eng (Sikkim, India), 8–10 December 2017, doi:10.1088/1757-899X/377/1/012201.
  • Augustin A, Yi J, Clausen T & Townsley W M, A study of LoRa: Long range & low power networks for the Internet of Things, Sensors, 16(9) (2016) 1466, https://doi.org/10.3390/s16091466.
  • Luz E M, Alfonso O, Maria C, Juan C V, Antonio S & John E C, On the Use of LoRaWAN in smart cities: a study with blocking interference, IEEE Internet Things J, 7(4) (2020) 2806–2815, doi:10.1109/JIOT.2019.2962976.
  • Gopika P, Bissan G, Mariusz S & Mario D F, Optimal configuration of LoRa networks in smart cities, IEEE Trans Ind Inform, 16(12) (2020) 7243–7254, doi:10.1109/TII.2020.2967123.
  • Faisal A, Nesreen A S, Thamer A R & Yahya A, Smart accident management in jordan using cup carbon simulation, Europ J Scient Res, 152(2) (2019) 128–135.
  • Shiva K B, Mahaboob S T & Siva C K, Lora based smart city frame works, Int J Comput Eng Res, 8(5) (2018) 2250–3005.
  • https://lora-alliance.org/resource_hub/why-lorawan-is-the-connectivity-platform-for-smart-city-applications/ (09 February 2023)
  • Kamal M, Massinissa L, Ahcène B & Tahar K, CupCarbon: A multi-agent and discrete event wireless sensor network design and simulation tool, Proc Int Conf Sim Tools Tech (Lisbon Portugal) 2014, 126–131, doi:10.4108/icst.simutools.2014.254811.
  • http://freenwork.com/cupcarbon/cupcarbon_user_guide.pdf (09 February 2023)
  • Zhu L, Yu F R, Wang Y, Ning B & Tang T, Big data analytics in intelligent transportation systems: A survey, IEEE Trans Intell Transp Syst, 20(1) (2019) 383–398, doi:10.1109/TITS.2018.2815678.
  • Li J Y, Deng X Y, Zhan Z H, Yu L, Tan K C, Lai K K & Zhang J, A multipopulation multiobjective ant colony system considering travel and prevention costs for vehicle routing in COVID-19-like epidemics, IEEE Trans Intell Transp Syst, 23(12) (2022) 25062–25076, doi: 10.1109/TITS.2022.3180760.
  • Harikumar M E, Reguram M & Nayar P, Low cost traffic control system for emergency vehicles using ZigBee, Proc Int Conf Comm and Elect Sys (Coimbatore, India) 2018, 308–311, doi: 10.1109/CESYS.2018.8724035.
  • Anshika C, Bheemarjuna R T & Antony F, Wi-Fi based road traffic monitoring system with channel hopping functionality, Proc Int Conf Commun Syst & Netw (Bangalore India) 2021, 680–684, doi:10.1109/COMSNETS51098.2021.9352923.

Abstract Views: 49

PDF Views: 48




  • Traffic Clearance for Ambulance during Pandemic Situation and Road Accidents Using LoRaWAN Network

Abstract Views: 49  |  PDF Views: 48

Authors

S Mohandass
Department of Electronics and Communication Engineering, PSG College of Technology, Coimbatore-641 004, Tamil Nadu, India
R Roshan
Department of Electronics and Communication Engineering, PSG College of Technology, Coimbatore-641 004, Tamil Nadu, India
S Ramya
Department of Electronics and Communication Engineering, PSG College of Technology, Coimbatore-641 004, Tamil Nadu, India

Abstract


Intelligent Transportation System (ITS) plays an important role in handling pandemic situation and disaster management. Due to rapid urbanization, there is a requirement for implementing an effective traffic control system not only to avoid heavy congestion but also to make a better solution for ambulance clearance which would help to save the human life. The proposed work intends to implement an effective traffic control system using Long-Range Wide Area Network (LoRaWAN) that provides seamless traffic clearance for ambulances, so that they reach the hospitals without any delay. Cupcarbon, a Wireless Sensor Network (WSN) simulator, is used to evaluate the performance of the proposed work. The simulation involves a case study considering an accident zone in Coimbatore city and the performance of the proposed system is compared with that of existing systems. The simulation results prove that LoRaWAN can be used to effectively control the traffic lights with a wider coverage range, as compared to existing systems.

Keywords


Cupcarbon, ITS, LoRaWAN, Traffic Management, WSN.

References