Abstract
Vehicle detectors are useful to provide essential information such as parking occupancy and traffic flow. To create one robust vehicle detector which works not only in controlled environment (i.e. indoor), but it should also work in outdoor environment, a vehicle detection using magnetic approach is proposed. The magnetic signal of a vehicle will be measured based on magnetic remanence technique where it will be processed to a cloud database. To achieve a low-cost and sensitive system, a Tunnel Magnetoresistance (TMR) sensor is employed. With the combinations of software filter and state machine’s algorithm, the occupancy of the car park can be identified with high accuracy. After a few series of real field testing, it is shown that a vehicle in a parking lot can be detected by measuring the surrounding magnetic field that is disrupted by the presence of vehicles. The proposed system is tested for forward and reverse parking, and it shows a high accuracy detection for a B-segment sedan car. It can be expected that by using the proposed technique, detection of vehicles using a low-cost system with capability of online monitoring can be realized.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Schulz, W., Geis, I.: Future role of cost-benefit analysis in intelligent transport system-research. IET Intell. Transp. Syst. 9, 626–632 (2015)
Mone, G.: The new smart cities. Commun. ACM. 58, 20–21 (2015)
Glasmeier, A., Christopherson, S.: Thinking about smart cities. Camb. J. Reg. Econ. Soc. 8, 3–12 (2015)
Lee, I., Lee, K.: The internet of things (IoT): applications, investments, and challenges for enterprises. Bus. Horiz. 58, 431–440 (2015)
Mimbela, L.E.Y., Klein, L.A.: A summary of vehicle detection and surveillance technologies used in intelligent transportation systems. http://www.nmsu.edu/~traffic/ (November, 2000)
Gorden, R.L., Reiss, R.A., Haenel, H., Case, E.R., French, R.L., Mohaddes, A., Wolcott, R.: Traffic control systems handbook, FHWA-SA-95-032, Washington, D.C., Federal Highway Administration, U.S. Department of Transportation, February, 1996A
Texas Transportation Institute. Alternative vehicle detection technologies for traffic signal systems. Technical Report. Austin. 2008.A
US Department of Transportation, Federal Highway Administration: A new look at sensors. Public Roads. 71(3), 32–39 (2007)
Abdelbaki, H.M., Hussain, K., Gelenbe, E.: A laser intensity image based automatic vehicle classification system. In: 2001 Proceedings of the IEEE Conference on Intelligent Transportation Systems, pp. 460–465
Mishra, D.P., Asutkar, G.M.: Vehicle detection and classification using wireless sensor network. IJAREEIE 2(10) (2013)
Acknowledgements
This work was supported by Ministry of Higher Education of Malaysia under grant number of RDU 160115 and Research Management Center of Universiti Malaysia Pahang under grant number of RDU 170377.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Nadzri, N.A., Hoe, C.K., Saari, M.M., Razali, S., Daud, M.R., Ahmad, H. (2018). Vehicle Detection System Using Tunnel Magnetoresistance Sensor. In: Hassan, M. (eds) Intelligent Manufacturing & Mechatronics. Lecture Notes in Mechanical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-10-8788-2_49
Download citation
DOI: https://doi.org/10.1007/978-981-10-8788-2_49
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-10-8787-5
Online ISBN: 978-981-10-8788-2
eBook Packages: EngineeringEngineering (R0)