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ISSN 0128-7680

Home / Regular Issue / JST Vol. 31 (2) Mar. 2023 / JST-3516-2022


Conceptual Design of a Combined Brake-Accelerator Pedal for Limbs Disabled Driver Using a Hybrid Approach

Salami Bahariah Suliano, Siti Azfanizam Ahmad, Azizan As’arry and Faieza Abdul Aziz

Pertanika Journal of Science & Technology, Volume 31, Issue 2, March 2023


Keywords: Combined brake-accelerator pedal, conceptual design, morphological chart, Pugh Matrix, TRIZ

Published on: 20 March 2023

This paper presents the conceptual design of a combined brake-accelerator pedal for limbs disabled drivers using a hybrid approach. A hybrid in which it consists of a combination of TRIZ for design generation, a Morphological Chart for design composition, and a Pugh Matrix for design selection. The aim is to generate and select the best concept design for a combined brake-accelerator pedal with special attention based on the needs of the disabled’s ergonomics. In this paper, the function analysis, cause, and effects analysis, TRIZ contradiction matrix, and 40 Inventive principles were applied in the solution generation stage. The outcomes of solutions proposed in TRIZ were then refined using a Morphological chart to deliberate the design composition of the combined brake-accelerator pedal. As a result, three innovative design concepts of combined brake-accelerator pedals were produced. Pugh Matrix was finally utilized to perform multi-criteria scoring based on the baseline to select the best ergonomics concept for combined brake-accelerator pedals for disabled drivers.

  • Arora, S. (2016). A combined pedal for brake and accelerator. International Journal of Research in Aeronautical and Mechanical Engineering, 4(1), 131-138.

  • Aurisicchio, M., Bracewell, R., & Armstrong, G. (2012). The function analysis diagram. Proceedings of the ASME Design Engineering Technical Conference, 7(2015), 849-861.

  • Burge, S. (2009). The System Engineering Tool Box. The Innovator’s Toolkit. John Wiley & Sons, Inc.

  • Chang, Y. S., Chien, Y. H., Yu, K. C., Chu, Y. H., & Chen, M. Y. C. (2016). Effect of TRIZ on the creativity of engineering students. Thinking Skills and Creativity, 19, 112-122.

  • Cun, L., Jun, H., Hengeveld, B., & Hummels, C. (2020). A framework designing for story sharing of the elderly: From design opportunities to concept selection. In T. Ahram, W. Karwowski, A. Vergnano, F. Leali & R. Taiar (Eds.), Advances in Intelligent Systems and Computing (Vol. 111, pp. 810-815). Springer International Publishing.

  • Ferrer, J. B., Negny, S., Robles, G. C., & Le Lann, J. M. (2012). Eco-innovative design method for process engineering. Computers & Chemical Engineering, 45, 137-151.

  • Frye, A. (2013). Disabled and older persons and sustainable urban mobility. Global Report on Human Settlements.

  • GEN3. (2006). TRIZ Group Training Manual (Level 1 Practicioner).

  • Guin, A. A., Kudryavtsev, A. V., Boubentsov, V. Y., & Seredinsky, A. (2015). Level 1 Study Guide: Theory of Inventive Problem Solving (7th ed.). First Fruit Sdn. Bhd.

  • Haris, A., Motato, E., Mohammadpour, M., Theodossiades, S., Rahnejat, H., Kelly, P., O’Mahony, M. & Struve, B. (2016, September 7-9). Concept selection for clutch nonlinear absorber using PUGH matrix. In 3rd Biennial International Conference on Powertrain Modelling and Control: Testing, Mapping and Calibration. Loughborough University, United Kingdom.

  • Jones, C., Abbassian, A., Trompeter, A., & Solan, M. (2010). Driving a modified car: A simple but unexploited adjunct in the management of patients with chronic right sided foot and ankle pain. Foot and Ankle Surgery, 16(4), 170-173.

  • Joshi, A. K., Dandekar, I. A., Gaikwad, M. V., & Harge, C. G. (2019). Pugh Matrix and Kano Model - The significant techniques for customer’s survey. International Journal of Emerging Technology and Advanced Engineering, 9, 53-55.

  • Karnjanasomwong, J., & Thawesaengskulthai, N. (2016). TRIZ-PUGH model, new Approach for creative problem solving and decision making. In IEEE International Conference on Industrial Engineering and Engineering Management, (IEEM), (pp. 1757-1761). IEEE Publishing.

  • Liu, W., Cao, G., & Tan, R. (2016). Research on optimization of TRIZ application driven by design needs and targets. Procedia CIRP, 39, 33-38.

  • Lonmo, L., & Muller, G. (2014). Concept selection - Applying Pugh Matrices in the subsea processing domain. INCOSE International Symposium, 24(1), 583-598.

  • Madke, P., & D. Jayabhaye, M. (2016). Application of pugh selection matrix and topsis method for fuel level sensing technology selection. International Journal of Engineering Research, 5(Special 2), 368-370.

  • Manohar, N., & Kalla, P. (2012). Innovative conceptual design on car using TRIZ method for optimum parking space. IOSR Journal of Engineering (IOSRJEN), 2(8), 52-57.

  • Mansor, M. R., Sapuan, S. M., Zainudin, E. S., Nuraini, A. A., & Hambali, A. (2014). Conceptual design of kenaf fiber polymer composite automotive parking brake lever using integrated TRIZ-morphological chart-analytic hierarchy process method. Materials and Design, 54, 473-482.

  • Mastura, M. T., Sapuan, S. M., Mansor, M. R., & Nuraini, A. A. (2017). Conceptual design of a natural fibre-reinforced composite automotive anti-roll bar using a hybrid approach. International Journal of Advanced Manufacturing Technology, 91(5-8), 2031-2048.

  • Monacelli, E., Dupin, F., Dumas, C., & Wagstaff, P. (2009). A review of the current situation and some future developments to aid disabled and senior drivers in France. IRBM, 30(5-6), 234-239.

  • Muller, G. (2011). Researching the application of Pugh Matrix in the sub-sea equipment industry. Conference on Systems Engineering Research, 2011, 1-11.

  • Murata, Y., & Yoshida, K. (2013). Automobile driving interface using gesture operations for disabled people. International Journal on Advance in Intelligent Systems, 6(3 & 4), 329-341.

  • MyHealth. (2017). Pre-driving assessment for people with disabilities. Kementerian Kesihatan Malaysia.

  • Navas, H. V. G. (2013). TRIZ: design problem solving with systematic innovation. In D. Coelho (Ed.), Advances in Industrial Design Engineering (pp. 75-98). InTech.

  • NHTSA. (2009). Driver fitness medical guidelines (September). National Highway Traffic Safety Administration, United States Department of Transportation.

  • NHTSA. (2015). Adapting motor vehicles for people with disabilities. National Highway Traffic Safety Administration, U.S. Department of Transportation.

  • Nilsson, R. (1989). 10 Evaluation of a combined accelerator-brake pedal. A New Approach to Traffic Planning and Street Design in Sweden, 10, 99-100.

  • Nilsson, R. (2002). Evaluation of a combined brake-accelerator pedal. Accident; Analysis and Prevention, 34(2), 175-183.

  • Pahl, G., Beitz, W., Feldhusen, J., & Grote, K. H. (2006). Engineering design: A systematic approach (3rd ed.). Springer.

  • Peters, B., & Ostlund, J. (2005). Joystick controlled driving for drivers with disabilities (Part 2). Statens väg- och transportforskningsinstitut

  • RTD. (2020). Guidelines vehicle modification for disable (O.K.U). Jabatan Pengangkutan Jalan Malaysia.

  • Sapuan, S. M., Ham, K. W., Ng, K. M., Woo, C. K., Ariffin, M. K. A., Baharudin, B. T. H. T., Faieza, A. A., Supeni, E. E, & Jalil, N. A. A. (2009). Design of composite racing car body for student based competition. Scientific Research and Essays, 4(11), 1151-1162.

  • Thakker, A., Jarvis, J., Buggy, M., & Sahed, A. (2009). 3DCAD conceptual design of the next-generation impulse turbine using the Pugh decision-matrix. Materials and Design, 30(7), 2676-2684.

  • Yang, C. J., & Chen, J. L. (2011). Accelerating preliminary eco-innovation design for products that integrates case-based reasoning and TRIZ method. Journal of Cleaner Production, 19(9-10), 998-1006.

  • Yeoh, T. S. (ed.), Yeoh, T. J., & Song, C. L. (2015). TRIZ: Systematic Innovation in Manufacturing (10th Print). First Fruit Sdn. Bhd.

  • Zare, M., Croq, M., Hossein-Arabi, F., Brunet, R., & Roquelaure, Y. (2016). Does ergonomics improve product quality and reduce costs? A Review article. Human Factors and Ergonomics in Manufacturing, 26(2), 205-223.