Abstract
Simulators are games that give a sense of realism and simulate of the real world in a virtual world, such as racing games or serious medical training games. These have been widely documented to have positive effects on the specific technical skills training on their respective field of users. However, in the area of simulators for driving education, there has been a lack of a comprehensive survey which encompasses the various contributions in this area. In this paper, we fill that gap by providing a review of previous work in literature that focuses on driver’s education using simulators. In addition, we include also works on Artifical Intelligence (AI) and Computational Intelligence (CI) in games that could be used to enhance the project and the effects of implementation of virtual reality in such studies.
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References
Agrawal, R., Knodler, M., Fisher, D.L., Samuel, S.: Virtual reality headset training: Can it be used to improve young drivers’ latent hazard anticipation and mitigation skills. Transportation Research Record 2672(33), 20–30 (2018). DOI 10.1177/0361198118758311
Aiolli F, Palazzi CE (2008) Enhancing artificial intelligence in games by learning the opponent’s playing style. In: Ciancarini P, Nakatsu R, Rauterberg M, Roccetti M (eds) New frontiers for entertainment computing. Springer, US, Boston, MA, pp 1–10
Backlund P, Engström H, Johannesson M, Lebram M (2010) Games for traffic education: an experimental study of a game-based driving simulator. Simul Gaming 41:145–169. DOI: 10.1177/1046878107311455.
Burkhardt JM, Corneloup V, Garbay C, Bourrier Y, Jambon F, Luengo V, Job A, Cabon P, Benabbou A, Lourdeaux D (2016) Simulation and virtual reality-based learning of non-technical skills in driving: critical situations, diagnostic and adaptation. IFAC-PapersOnLine 49(32):66–71. https://doi.org/10.1016/j.ifacol.2016.12.191, cyber-Physical & Human-Systems CPHS 2016
Chan E, Pradhan A, Pollatsek A, Knodler M, Fisher D (2010) Are driving simulators effective tools for evaluating novice drivers’ hazard anticipation, speed management, and attention maintenance skills. Transp Res Part F Traffic Psychol Behav 13:343–353. https://doi.org/10.1016/j.trf.2010.04.001
Chan MT, Chan CW, Gelowitz C (2015) Development of a car racing simulator game using artificial intelligence techniques. Int J Comput Games Technol 2015:839721. https://doi.org/10.1155/2015/839721
Cipresso P, Giglioli IAC, Raya MA, Riva G (2018) The past, present, and future of virtual and augmented reality research: A network and cluster analysis of the literature. Front Psychol 9:2086–2086. https://doi.org/10.3389/fpsyg.2018.02086, 30459681[pmid]
Dobrowolski P, Skorko M, Pochwatko G, Myśliwiec M, Grabowski A (2021) Immersive virtual reality and complex skill learning: Transfer effects after training in younger and older adults. Front Virtual Reality 1:40. https://doi.org/10.3389/frvir.2020.604008
Erhel S, Jamet E (2013) Digital game-based learning: Impact of instructions and feedback on motivation and learning effectiveness. Comput Educ 67:156–167. https://doi.org/10.1016/j.compedu.2013.02.019
Fisher D, Pollatsek A, Pradhan A (2006) Can novice drivers be trained to scan for information that will reduce their likelihood of a crash? Injury Prev J Int Soc Child Adolesc Injury Prev 12(Suppl 1):i25–9. https://doi.org/10.1136/ip.2006.012021
Guillén Nieto V, Alesón-Carbonell M (2012) Serious games and learning effectiveness: the case of it’s a deal! Comput Educ 58:435–448. https://doi.org/10.1016/j.compedu.2011.07.015
Ismail R, Md Saad MH, Mohd Nor J, Rosli R (2016) Driver’s readiness to use car driving simulator as a tool to improve driving skill: a preliminary study. Jurnal Teknologi 78, 137–142. https://doi.org/10.11113/jt.v78.9161
Kandhai K, Smith M, Kanneh A (2011) Immersive driving simulation for driver education and analysis. In: 2011 16th International conference on computer games (CGAMES), pp 288–292
Libâneo JC, Alves N (2017) Temas de pedagogia: Diálogios entre didática e currículo. Cortez Editora
MacKinnon B (2012) Adaptive ai in a racing simulator: a challenging and fun environment for any user. Comput Games J 1(1):71–89. https://doi.org/10.1007/BF03392329
Masoumzadeh, S., Moussavi, Z.: Does practicing with a virtual reality driving simulator improve spatial cognition in older adults? a pilot study. Neuroscience Insights 15, 2633105520967930 (2020). DOI 10.1177/2633105520967930
Mazer B, Gélinas I, Duquette J, Vanier M, Rainville C, Chilingaryan G (2015) A randomized clinical trial to determine effectiveness of driving simulator retraining on the driving performance of clients with neurological impairment. Br J Occup Ther 78. https://doi.org/10.1177/0308022614562401
Mora, C.E., Martín-Gutiérrez, J., Añorbe-Díaz, B., González-Marrero, A.: Virtual technologies trends in education. EURASIA Journal of Mathematics, Science and Technology Education 13(2), 469–486 (2017). DOI 10.12973/eurasia.2017.00626a
Park G, Allen R, Rosenthal T, Fiorentino D (2005) Training effectiveness: how does driving simulator fidelity influence driver performance? In: Proceedings of the human factors and ergonomics society annual meeting, vol 49, pp 2201–2205. https://doi.org/10.1177/154193120504902518
Queiroz ACM, Nascimento AM, Tori R, da Silva Leme MI (2019) Immersive virtual environments and learning assessments. In: Beck D, Peña-Rios A, Ogle T, Economou D, Mentzelopoulos M, Morgado L, Eckhardt C, Pirker J, Koitz-Hristov R, Richter J, Gütl C, Gardner M (eds) Immersive learning research network. Springer International Publishing, Cham, pp 172–181
Rabin SE (2014) A rubber-banding system for gameplay and race management, pp 504–512. https://doi.org/10.1201/b16725
Renganayagalu SK, Mallam SC, Nazir S (2021) Effectiveness of VR head mounted displays in professional training: a systematic review. In: Technology, Knowledge and Learning. https://doi.org/10.1007/s10758-020-09489-9
Salman M (2013) Collision detection and overtaking using artificial potential fields in car racing game TORCS using multi-agent based architecture. Master’s thesis, , Department of Computer Science and Engineering
Shannon CE (1950) Xxii. programming a computer for playing chess. London Edinburgh Dublin Philos Mag J Sci 41(314):256–275. https://doi.org/10.1080/14786445008521796
Tomlinson S, Melder N (2015) An architecture overview for AI n racing games
Uhr M, Felix D, Williams B, Krueger H (2020) Transfer of training in an advanced driving simulator - comparison between real world environment and simulation in a manoeuvring driving task
Underwood G, Crundall D, Chapman P (2011) Driving simulator validation with hazard perception. Transp Res Part F Traffic Psychol Behav 14:435–446. https://doi.org/10.1016/j.trf.2011.04.008
Wang Y, Zhang W, Wu S, Guo Y (2007) Simulators for driving safety study—a literature review. In: Shumaker R (ed) Virtual reality. Springer, Berlin Heidelberg, Berlin, Heidelberg, pp 584–593
Westera W, Prada R, Mascarenhas S, Santos PA, Dias J, Guimarães M, Georgiadis K, Nyamsuren E, Bahreini K, Yumak Z, Christyowidiasmoro C, Dascalu M, Gutu-Robu G, Ruseti S (2020) Artificial intelligence moving serious gaming: presenting reusable game AI components. Educ Inf Technol 25(1):351–380. https://doi.org/10.1007/s10639-019-09968-2
Zhao J, Xu X, Jiang H, Ding Y (2020) The effectiveness of virtual reality-based technology on anatomy teaching: a meta-analysis of randomized controlled studies. BMC Med Educ 20(1):127. https://doi.org/10.1186/s12909-020-1994-z
Acknowledgements
The authors would like to thank the Ministry of Education of Malaysia in providing financial support for this work through the Fundamental Research Grant Scheme (FRGS/1/2020/SS0/MMU/02/1)
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Cheng, YQ., Mansor, S., Chin, JJ., Karim, H.A. (2022). Driving Simulator for Drivers Education with Artificial Intelligence Traffic and Virtual Reality: a Review. In: Alfred, R., Lim, Y. (eds) Proceedings of the 8th International Conference on Computational Science and Technology. Lecture Notes in Electrical Engineering, vol 835. Springer, Singapore. https://doi.org/10.1007/978-981-16-8515-6_38
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