Abstract
The research is focused on the intelligent traffic system which is roughly based on the concepts of wireless transmission using radio frequency (RF) transmission and image processing. In the proposed system, FM receivers are fitted on traffic signals and FM transmitters are fixed on high-priority vehicles. The transmitter transmits the GPS location of a vehicle at a constant interval. On receiving the RF signal from the high-priority vehicle, the traffic signal, closest on its route, gets activated. From the received GPS location which is nearly 2 km away from the signal, the system finds out the direction and speed of the oncoming vehicle and releases the traffic on that route. The directions found by RF antenna [1] situated in the receiver. If no FM signals are received from any high-priority vehicle, then the system uses image processing [2] to find the vehicle density on each side. This is done by counting the number of vehicles in the four videos taken by a closed-circuit camera preinstalled in the traffic signal. The cameras have a range of 100 m each. An intense signal would make that side having the highest vehicular density green if and only if the vehicle number exceeds a threshold. Otherwise, the system mimics an ordinary traffic system. The system gives an accuracy of more than 91% while calculating the number of vehicles and in the other cases the error is as low as zero. The novel system simulation is achieved through CircuitMaker 2000 and MATLAB software.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Spooner CM, Brown WA, Yeung GK (2002) Automatic radio-frequency environment analysis, IEEE. https://ieeexplore.ieee.org/document/910700
Sathuluri MR, Bathula SK, Yadavalli P, Kandula R IMAGE processing based intelligent traffic controlling and monitoring system using Arduino. https://ieeexplore.ieee.org/document/7987980
Hidayah MR, Akhlis I, Sugiharti E Recognition number of the vehicle plate using Otsu method and K-nearest neighbour classification. e-ISSN 2460-0040. http://journal.unnes.ac.id/nju/index.php/sji
Lee H, Kim D, Kim D, Bang SY Real-time automatic vehicle management system using vehicle tracking and car plate number identification. In: ICME ’03, IEEE. https://ieeexplore.ieee.org/document/1221626/
Watson MD, Johnson SB (2007) A theory of vehicle management systems. In: 2007 IEEE aerospace conference, 2007, IEEE. ISSN 1095-323X. https://ieeexplore.ieee.org/document/4161686
Wu L, Qiao F, Lu J (2013) Design and implementation of a vehicle management system based on the ubiquitous network. In: 2013 IEEE 4th international conference on electronics information and emergency communication, IEEE. ISBN 978-1-4673-4933-8. https://ieeexplore.ieee.org/document/6835510
Wang Y, Ho OKW, Huang GQ, Li D, Huang H (2008) Study on RFID-enabled real-time vehicle management system in logistics. In: Proceedings of ICAL, the IEEE international conference on automation and logistics 2008, pp 2234–2238, IEEE. http://hdl.handle.net/10722/129746
Pan Y, Ge N, Dong Z (2008) Mixed-signal modeling and analysis for a digital RF direct sampling mixer. In: 2008 4th IEEE international conference on circuits and systems for communications, China, 26th–28th May 2008, Publisher—IEEE. https://ieeexplore.ieee.org/document/4536830
Lee EJ, Ryu KH Design of vehicle information management system for effective retrieving of vehicle location. Part of the Lecture Notes in Computer Science book series (LNCS, volume 3481). Online ISBN - 978-3-540-32044-9, Springer, Berlin. https://springerlink.bibliotecabuap.elogim.com/chapter/10.1007/11424826_107
Madanayake A, Wijenayake C, Belostotski L, Bruton LT (2015) An overview of multi-dimensional RF signal processing for array receivers. In: 2015 Moratuwa Engineering Research Conference (Mercon), 2015, IEEE, Accession Number: 15180278. https://ieeexplore.ieee.org/document/7112355
Chen XM, Wei Z-H (2011) Vehicle management system based on multi-node RFID cards. In: Proceedings of the 30th Chinese control conference, 22-24th July 2011, IEEE. https://ieeexplore.ieee.org/document/6000392
Aminov P, Agrawal JP (2014) RF energy harvesting. In: 2014 IEEE 64th Electronic Components and Technology Conference (ECTC), Print ISSN: 0569-5503, IEEE. https://ieeexplore.ieee.org/document/6897549
Mrnka M, Vasina P, Kufa M, Hebelka V, Raida Z The RF Energy harvesting antennas operating in commercially deployed frequency bands: a comparative study. https://www.hindawi.com/journals/ijap/2016/7379624/
Kumari P, Sahay J (2017) Investigation on RF energy harvesting. In: 2017 Innovations in Power and Advanced Computing Technologies (i-PACT), India, IEEE. https://ieeexplore.ieee.org/document/8245021
Uzun Y (2016) Design and implementation of RF energy harvesting system for low-power electronic devices. J Electron Mater 45. https://springerlink.bibliotecabuap.elogim.com/article/10.1007/s11664-016-4441-5
Mouapi A, Hakem N, Delisle GY (2017) A new approach to design of RF energy harvesting system to enslave wireless sensor networks. ICT, December 18, pp 228–233. https://www.sciencedirect.com/science/article/pii/S2405959517300218
Nintanavongsa P A survey on RF energy harvesting: circuits & protocols. https://doi.org/10.1016/j.egypro.2014.07.174
Li-Sheng J, Lei T, Rong-ben W, Lie G, Jiang-Wei C An improved Otsu image segmentation algorithm for path mark detection under variable illumination. In: Intelligent vehicles symposium. https://ieeexplore.ieee.org/document/1505209
Liu F, Zeng Z, Jiang R A video-based real-time adaptive vehicle-counting system for urban roads. https://doi.org/10.1371/journal.pone.0186098
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Sarkar, I., Ghosh, J., Ghosal, S.S., Deb, S. (2020). Automated Vehicle Management System Using Wireless Technology. In: Khanna, A., Gupta, D., Bhattacharyya, S., Snasel, V., Platos, J., Hassanien, A. (eds) International Conference on Innovative Computing and Communications. Advances in Intelligent Systems and Computing, vol 1059. Springer, Singapore. https://doi.org/10.1007/978-981-15-0324-5_18
Download citation
DOI: https://doi.org/10.1007/978-981-15-0324-5_18
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-15-0323-8
Online ISBN: 978-981-15-0324-5
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)