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Smart Car Design using RFID


Affiliations
1 Department of Electrical and Electronics Engineering, Amrita School of Engineering, Amrita Vishwa Vidyapeetham University, Coimbatore - 641112, Tamil Nadu, India
2 Department of Computer Science and Engineering, Amrita School of Engineering, Amrita Vishwa Vidyapeetham University, Coimbatore - 641112, Tamil Nadu, India
 

Background/Objective: The Indian automobile market has seen a drastic change in its trends over the past decade with several road commuters opting for mid-range sedans and SUVs, owing to the safety features of cars that two-wheelers can never provide. At times, the driver is not fully aware of his surroundings, leading to inconveniences and compromises on safety. Methods/Statistical Analysis: This problem has several facets to it. Blocked vision due to a large vehicle in front is a major hassle that persists especially during heavy traffic, in turnings and in narrow lanes. Bright headlights at night cause discomfort and troubled vision to drivers. It is the worst nightmare of a “fuel-conscious” driver to get caught in a traffic jam when he could have chosen a different lane and or to be forced to return back due to blocked roads. The most frustrating experience for any driver would be to get stuck under the sweltering sun in a road either due to a flat tire or an empty fuel tank. Result/Findings: These issues could be solved if the driver is given constant inputs about vehicles near him and the fuel level, battery conditions and tire pressure status. Providing information from other vehicles could be facilitated through vehicle-to-vehicle communication. Conclusion/Application: These applications can be incorporated into the future self-driving cars. This application also increases the safety of the drivers thereby decreasing the road accidents.

Keywords

Electromagnetic Field, Radio Frequency Identification (RFID) System, Sensors, Tag, Vehicle-to-Vehicle Communication
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  • Smart Car Design using RFID

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Authors

B. Ramya Sundaram
Department of Electrical and Electronics Engineering, Amrita School of Engineering, Amrita Vishwa Vidyapeetham University, Coimbatore - 641112, Tamil Nadu, India
Shriram K. Vasudevan
Department of Computer Science and Engineering, Amrita School of Engineering, Amrita Vishwa Vidyapeetham University, Coimbatore - 641112, Tamil Nadu, India
E. Aravind
Department of Electrical and Electronics Engineering, Amrita School of Engineering, Amrita Vishwa Vidyapeetham University, Coimbatore - 641112, Tamil Nadu, India
G. Karthick
Department of Electrical and Electronics Engineering, Amrita School of Engineering, Amrita Vishwa Vidyapeetham University, Coimbatore - 641112, Tamil Nadu, India
S. Harithaa
Department of Electrical and Electronics Engineering, Amrita School of Engineering, Amrita Vishwa Vidyapeetham University, Coimbatore - 641112, Tamil Nadu, India

Abstract


Background/Objective: The Indian automobile market has seen a drastic change in its trends over the past decade with several road commuters opting for mid-range sedans and SUVs, owing to the safety features of cars that two-wheelers can never provide. At times, the driver is not fully aware of his surroundings, leading to inconveniences and compromises on safety. Methods/Statistical Analysis: This problem has several facets to it. Blocked vision due to a large vehicle in front is a major hassle that persists especially during heavy traffic, in turnings and in narrow lanes. Bright headlights at night cause discomfort and troubled vision to drivers. It is the worst nightmare of a “fuel-conscious” driver to get caught in a traffic jam when he could have chosen a different lane and or to be forced to return back due to blocked roads. The most frustrating experience for any driver would be to get stuck under the sweltering sun in a road either due to a flat tire or an empty fuel tank. Result/Findings: These issues could be solved if the driver is given constant inputs about vehicles near him and the fuel level, battery conditions and tire pressure status. Providing information from other vehicles could be facilitated through vehicle-to-vehicle communication. Conclusion/Application: These applications can be incorporated into the future self-driving cars. This application also increases the safety of the drivers thereby decreasing the road accidents.

Keywords


Electromagnetic Field, Radio Frequency Identification (RFID) System, Sensors, Tag, Vehicle-to-Vehicle Communication



DOI: https://doi.org/10.17485/ijst%2F2015%2Fv8i11%2F74874