Abstract
In this paper, the way traffic problems can be minimized with the help of fuzzy logic, which is a part of artificial intelligence, is discussed. It also highlighted the issues with the conventional traffic system practiced in an Indian state. It talked about the various benefits of using advanced traffic systems including fuzzy logic along with its numerous advantages as well as disadvantages. It also highlighted the present scenario of accidents and fatalities in an Indian state following the old conventional system of traffic.
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References
GeeksforGeeks. https://www.geeksforgeeks.org/fuzzy-logic-introduction/amp/
Traffic Collisions in India. https://en.m.wikipedia.org/wiki/Traffic_collisions_in_India
Analysis of M.V. Accidents in Goa. https://www.goatransport.gov.in/roadsafety (2018)
Tunc, I., Yesilyurt, A.Y., Soylmez, M.T.: Different fuzzy logic control strategies for traffic signal timing control with state inputs. IFAC-PapersOnLine 54(2), 265–270 (2021)
Tohan, T.D., Wong, Y.D.: Fuzzy logic-based methodology for quantification of traffic congestion. Physica A 570, 125784 (2021)
Kheder, S., Al Rukaibi, F.: Enhancing pedestrian safety, walkability and traffic flow with fuzzy logic. Sci Total Environ. 701, 134454 (2020)
Wu, B., Cheng, T., Yip, T.L., Wang, Y.: Fuzzy logic based dynamic decision-making system for intelligent navigation strategy within inland traffic separation schemes. Ocean Eng. 197, 106909 (2020)
Tomar, S., Singh, M., Sharma, G., Arya, K.V.: Traffic management using logistic regression with fuzzy logic. Procedia Comput. Sci. 132, 451–460 (2018)
Rout, R.R., Vemireddy, S., Raul, S.K., Somayajulu, D.V.L.N.: Fuzzy logic-based emergency vehicle routing: an IoT system development for smart city applications. Comput. Electr. Eng. 88, 106839 (2020)
Jovanovic, A., Kukik, K., Stevanovic, A.: A fuzzy logic simulation model for controlling an oversaturated diverge diamond interchange and ramp metering system. Math. Comput. Simul. 182, 165–181 (2021)
Alemneh, E., Senouchi, S.-M., Messous, M.-A.: An energy-efficient adaptive beaconing rate management for pedestrian safety: a fuzzy logic-based approach. Pervasive Mobile Comput. 69, 101285 (2020)
AlKheder, S., Almutairi, R.: Roadway traffic noise modelling in the hot hyper-arid Arabian Gulf region using adaptive neuro-fuzzy interference system. Transport. Res. Part D: Transport Environ. 97, 102917 (2021)
Komsiyah, S., Desvania, E.: Traffic lights analysis and simulation using fuzzy inference system of Mamdani on three-signaled intersections. Procedia Comput. Sci. 179, 268–280 (2021)
Abbasi, F., Zarei, M., Rahmani, A.M.: FWDP: a fuzzy logic-based vehicle weighting model for data prioritization in vehicular ad hoc networks. Veh. Commun. 100413 (2021)
Gupta, R., Chaudhari, O.K.: Application of fuzzy logic in prevention of road accidents using multi criteria decision alert. Curr. J. Appl. Sci. Technol. 39(36), 51–61 (2020)
GoodVision. https://www.walterpmoore.com/traffic-studies
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Singh, A. (2022). Importance of Fuzzy Logic in Traffic and Transportation Engineering. In: Vasant, P., Zelinka, I., Weber, GW. (eds) Intelligent Computing & Optimization. ICO 2021. Lecture Notes in Networks and Systems, vol 371. Springer, Cham. https://doi.org/10.1007/978-3-030-93247-3_10
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DOI: https://doi.org/10.1007/978-3-030-93247-3_10
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