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Development of Automated Braking System for Collision Avoidance of Vehicles


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1 School of Mech. and Building Sciences, VIT University, Chennai, India
 

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The main objective of this paper is to develop an automated braking system to avoid frontal collision of the vehicle due to driver inattentiveness. The working model comprises of automated braking system which includes ultrasonic sensor, bike brake system, high torque motor, microcontroller, motor driver, battery, double acting cylinder and solenoid valves. An algorithm is proposed for automated braking system. The proposed working model is validated with experimental results. The ultrasonic sensor is validated for distance measurement and the sensor predicts the distance with an error of 3.31%.

Keywords

Ultrasonic Sensor, Automatic Braking, Collision Avoidance, Distance Measurement, Automotive Vehicles.
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  • R. Bishop. 2000. A survey of intelligent vehicle application worldwide, Proc. IEEE Intelligent Vehicle Symp., 25-30. https://doi.org/10.1109/IVS.2000.898313.
  • W.J. Fleming. 2008. New automotive sensors, IEEE Sensor J., 8(11), 1900-1921. https://doi.org/10.1109/JSEN.2008.2006452.
  • R. Anbalagan and J. Jancirani. 2015. Experimental investigation of vacuum brake system performance in light commercial vehicles, Int. J. Vehicle Structures & Systems, 7(1), 43-46. http://dx.doi.org/10.4273/ijvss.7.1.09.
  • P. Sevvel, I.S.S. Thangaiah, S.M. Mukesh and G.M. Anif. 2015. Laboratory scale testing of thermoelectric regenerative braking system, Int. J. Vehicle Structures & Systems, 7(4), 157-160. http://dx.doi.org/10.4273/ijvss.7.4.08.
  • A. Carullo and M. Parvis. 2001. An ultrasonic sensor for distance measurement in automotive applications, IEEE Sensors J., 1(2), 143-147. https://doi.org/10.1109/JSEN.2001.936931.
  • H. Yoshida, S. Awano, M. Nagai and T. Kamada. 2006. Target following brake control for collision avoidance assist of active interface vehicle, Proc. SICE-ICASE Int. Joint Conf., 18-21. https://doi.org/10.1109/SICE.2006.314777.
  • Y. Jia and D. Cebon. 2016. Field testing of a cyclist collision avoidance system for heavy goods vehicles, IEEE Trans. on Vehicular Tech., 65(6), 4359-4367. https://doi.org/10.1109/TVT.2016.2538801.
  • F. Bu and H.S. Tan. 2007. Precision stopping control ofautomatedbus with pneumatic braking system, IEEE Trans. on Control Systems Tech., 15(1), 53-64. https://doi.org/10.1109/TCST.2006. 883238.
  • J. Majchrzak, M. Michalski and G. Wiczynski. 2009. Distance estimation with a long-range ultrasonic sensor system, IEEE Sensors, 9(7), 767-773. https://doi.org/10.1109/JSEN.2009.2021787.
  • T. Schlegl, T. Bretterklieber, M. Neumayer and H. Zangl. 2011. Combined capacitive and ultrasonic distance measurement for automotive applications, IEEE Sensors, 11(11), 2636-2642. https://doi.org/10.1109/JSEN.2011.2155056.
  • L. Alonso, J. Perez-Oria, M. Fernandez, C. Rodriguez and J. Arce. 2012. Genetically optimized controller for urban traffic emergency braking system based on ultrasonic sensors, Proc. 7th IEEE Conf. Industrial Electronics and Applications, Singapore. https://doi.org/10.1109/ICIEA.2012.6360688.
  • F. Diederichs, T. Schüttke and D. Spath. 2015. Driver intention algorithm for pedestrian protection and automated emergency braking systems, Proc. IEEE 18th Int. Conf. Intelligent Transportation Systems, Canary Islands, Spain.

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PDF Views: 162




  • Development of Automated Braking System for Collision Avoidance of Vehicles

Abstract Views: 375  |  PDF Views: 162

Authors

Vinod Handi
School of Mech. and Building Sciences, VIT University, Chennai, India
S. Jeyanthi
School of Mech. and Building Sciences, VIT University, Chennai, India
A. Giridharan
School of Mech. and Building Sciences, VIT University, Chennai, India

Abstract


The main objective of this paper is to develop an automated braking system to avoid frontal collision of the vehicle due to driver inattentiveness. The working model comprises of automated braking system which includes ultrasonic sensor, bike brake system, high torque motor, microcontroller, motor driver, battery, double acting cylinder and solenoid valves. An algorithm is proposed for automated braking system. The proposed working model is validated with experimental results. The ultrasonic sensor is validated for distance measurement and the sensor predicts the distance with an error of 3.31%.

Keywords


Ultrasonic Sensor, Automatic Braking, Collision Avoidance, Distance Measurement, Automotive Vehicles.

References





DOI: https://doi.org/10.4273/ijvss.10.2.04