Vartika Agarwal

Iot based smart transport management system

  • Authors Details :  
  • Vartika Agarwal,  
  • Sachin Sharma

Journal title : Communications in Computer and Information Science

Publisher : Springer Singapore

Online ISSN : 1865-0937

Page Number : 207-216

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Currently, vehicle to vehicle communication is an important application and thrust area of research. In this paper the author highlighted the workings, executions, implementations and the application of the Internet of Things (IoT) in transport management and vehicle to vehicle communication systems. The main advantage of this Industry 4.0 based IoT technology is that it helps us to reduce road traffic and accidents. The limitations of GPS like accuracy, precision, effective analysis, etc. has led to the evolution of Mobile based V2V communication which is more effective, error proof, result oriented and smart. For proper analysis of traffic vehicle to vehicle communication is established. Random Data from vehicles taken by numerous sensors. Any car coming in its variety could effortlessly share the data by either of two cars nearby. With the help of vehicle to vehicle communication we can provide a path of emergency vehicles to reach the destination quickly. Based on the V2V application, Red and Green signals can be marked on the path as per traffic density and the emergency vehicle can take the shortest, fastest and low density route. Similar such examples are elaborated in the current research manuscript that will help the researcher in effectively finding the research gap for further advancement, analysis, innovation and optimization.

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DOI : https://doi.org/10.1007/978-981-16-3653-0_17

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Article References

  • (1). Chauhan, V., Patel, M., Tanwar, S., Tyagi, S., Kumar, N.: IoT enabled real-time urban transport management system. Comput. Electr. Eng. 86, (2020)
  • (2). Vattaparambil, S.S., Koduri, R., Nandyala, S., Manalikandy, M.: Scalable decentralized solution for secure vehicle-to-vehicle communication (No. 2020-01-0724). SAE Technical Paper (2020)
  • (3). Syed, M.S.B., Memon, F., Memon, S., Khan, R.A.: IoT based emergency vehicle communication system. In: 2020 International Conference on Information Science and Communication Technology (ICISCT), pp. 1–5. IEEE, February 2020
  • (4). Liu, X., Jaekel, A.: Congestion control in V2V safety communication: problem, analysis, approaches. Electronics 8(5), 540 (2019)
  • (5). Sharma, S., Sharma, A., Goel, T., Deoli, R., Mohan, S.: Smart home gardening management system: a cloud-based Internet-of-Things (IoT) application in VANET. In: 2020 11th International Conference on Computing, Communication and Networking Technologies (ICCCNT), pp. 1–5. IEEE (2020)
  • (6). Sharma, S., Baig Awan, M., Mohan, S.: Cloud enabled cognitive radio adhoc vehicular networking (CRAVENET) with security aware resource management and internet of vehicles (IoV) applications. In: 2017 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS), pp. 1–6. IEEE (2017)
  • (7). Sharma, S., Ghanshala, K.K., Mohan, S.: Advanced spectrum management for next-generation vehicular communication: an AI approach. In: 2019 IEEE 10th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON), pp. 0632–0637. IEEE (2019)
  • (8). Sharma, S., Muhammad, A., Mohan, S.: Cloud enabled cognitive radio adhoc vehicular networking with security aware resource management and internet of vehicles applications. U.S. Patent 10,659,528, issued 19 May 2020
  • (9). Sharma, S., Muhammad, A., Mohan, S.: Smart vehicular hybrid network systems and applications of same. U.S. Patent Application 15/705,542, filed, 29 March 2018
  • (10). Sharma, S., Ghanshala, K.K., Mohan, S.: Blockchain-based Internet of Vehicles (IoV): an efficient secure ad hoc vehicular networking architecture. In: 2019 IEEE 2nd 5G World Forum (5GWF), pp. 452–457. IEEE (2019)



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