Abstract
Road Traffic accidents are one of the main problems causing death and fatal injuries in all countries. Several general suggestions were presented to the ministry of transport to try to overcome this problem. This paper discusses a specific approach based on fuzzy logic control to train semi-autonomous cars to prevent accidents from occurring. These types of cars equipped with many devices along with decision making algorithms based on learning will make cars more intelligent to take the right decision when no reaction of the driver is noticed.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
NHTSA | National Highway Traffic Safety Administration. https://www.nhtsa.gov/. Accessed 27 Jun 2020
Fagnant DJ, Kockelman K (2015) Preparing a nation for autonomous vehicles: opportunities, barriers and policy recommendations. Transp Res Part A: Policy Pract 77:167–181
Shinde T (2013) Car anti-collision and intercommunication system using communication protocol. Int J Sci Res (IJSR) 2(6):187–191
Coelingh E, Eidehall A, Bengtsson M (2010) Collision warning with full auto brake and pedestrian detection - a practical example of automatic emergency braking. In: IEEE conference on intelligent transportation systems, proceedings, ITSC, pp 155–160
Drissi Touzani H, Faquir S, Yahyaouy A (2020) Data mining techniques to analyze traffic accidents data: case application in Morocco. In: The fourth international conference on intelligent computing in data sciences ICDS 2020 conference, pp 1–3
Zadeh LA (1975) The concept of a linguistic variable and its application to approximate reasoning-III. Inf Sci 9(1):43–80
Driss M, Saint-Gerand T, BenSaïd A, Benabdeli K, Hamadouche MA (2013) A fuzzy logic model for identifying spatial degrees of exposure to the risk of road accidents (Case study of the Wilaya of Mascara, Northwest of Algeria). In: 2013 international conference on advanced logistics and transport, ICALT 2013, pp 69–74
Bates JHT, Young MP (2003) Applying fuzzy logic to medical decision making in the intensive care unit. Am J Respir Crit Care Med 167(7):948–952
Zbinden AM, Feigenwinter P, Petersen-Felix S, Hacisalihzade S (1995) Arterial pressure control with isoflurane using fuzzy logic. Br J Anaesth 74(1):66–72
Faquir S, Yahyaouy A, Tairi H, Sabor J (2016) Energy management in a hybrid PV/wind/battery system using a type-1 fuzzy logic computer algorithm. Int J Intell Eng Inform 4(3–4):229–244
El Amrani R, Faquir S, Yahyaouy A, Tairi H (2018) Modelling and implementation of an energy management simulator based on agents using optimised fuzzy rules: Application to an electric vehicle. Int J Innovative Comput Appl 9(4):203–215
Lee CC (1990) Fuzzy logic in control systems: fuzzy logic controller—part I. IEEE Trans Syst Man Cybern 20(2):404–418
Guru99. Fuzzy Logic Tutorial: What is, Application & Example. https://www.guru99.com/what-is-fuzzy-logic.html. Accessed 08 Oct 2020
Roychowdhury S, Pedrycz W (2001) A survey of defuzzification strategies. Int J Intell Syst 16(6):679–695
Ondruš J, Kolla E, Vertaľ P, Šarić Ž (2020) How do autonomous cars work? Transp Res Procedia 44(2019):226–233
Sarkan B, Stopka O, Gnap J, Caban J (2017) Investigation of exhaust emissions of vehicles with the spark ignition engine within emission control. Procedia Eng 187:775–782
Yun HS, Kim TH, Park TH (2019) Speed-bump detection for autonomous vehicles by lidar and camera. J Electr Eng Technol 14(5):2155–2162
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Touzani, H.D., Faquir, S., Senhaji, S., Yahyaouy, A. (2021). A Proposed Solution to Road Traffic Accidents Based on Fuzzy Logic Control. In: Motahhir, S., Bossoufi, B. (eds) Digital Technologies and Applications. ICDTA 2021. Lecture Notes in Networks and Systems, vol 211. Springer, Cham. https://doi.org/10.1007/978-3-030-73882-2_6
Download citation
DOI: https://doi.org/10.1007/978-3-030-73882-2_6
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-73881-5
Online ISBN: 978-3-030-73882-2
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)