Abstract
Self-driving vehicle technologies are receiving attention and there is a promising trend in market for future development. Based on their advanced features, self-driving vehicles are expected to increase the mobility for those with disabilities, reduce the amount and severity of accidents, enhance the utility of time on travel and reduce the air pollution. On the other hand, this technology brings safety and security challenges, which need to be addressed before their mass implementation in roads. The purpose of this study is to discuss the advantages and disadvantages of autonomous vehicle technology through providing comparative analysis. This paper also presents an overview of recent research on self-driving vehicle safety issues and the shortcomings of this technology in a broader sense. As a result of the study, suggestions about the future of self-driving vehicle will be provided for planners and policy-makers.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Alessandrini, A., Campagna, A., Site, P.D., Filippi, F., Persia, L.: Automated vehicles and the rethinking of mobility and cities. Transp. Res. Procedia 5, 145–160 (2015)
Alfonso, J., Naranjo, J.E., Menéndez, J.M., Alonso, A.: Vehicular communications. In: Intelligent Vehicles, pp. 103–139. Elsevier (2018)
Bakioglu, G., Atahan, A.O.: Evaluating the influencing factors on adoption of self-driving vehicles by using interval-valued pythagorean fuzzy AHP. In: Kahraman, C., Onar, S.C., Oztaysi, B., Sari, I.U., Selcuk Cebi, A., Tolga, Cagri (eds.) INFUS 2020. AISC, vol. 1197, pp. 503–511. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-51156-2_58
Bakioglu, G., Atahan, A.O.: AHP integrated TOPSIS and VIKOR methods with Pythagorean fuzzy sets to prioritize risks in self-driving vehicles. Appl. Soft Comput. 99, 106948 (2021)
Bakioglu, G., Dogru, A.: GIS-Based Visualization for Estimating Level of Service (2018)
Bakioğlu, G., Karaman, H.: Accessibility of medical services following an earthquake: a case study of traffic and economic aspects affecting the Istanbul roadway. Int. J. Disast. Risk Reduct. 31, 403–418 (2018)
Bansal, P., Kockelman, K.M.: Forecasting Americans’ long-term adoption of connected and autonomous vehicle technologies. In: Paper Presented at the 95th Annual Meeting of the Transportation Research Board (2016)
Begg, D.: A 2050 vision for London: What are the implications of driverless transport, transport times, London, UK (2014)
California Department of Motor Vehicles. Autonomous Vehicle Disengagement Reports (2018)
Casley, S.V., Jardim, A.S., Quartulli, A.M.: A study of public acceptance of autonomous cars, interactive qualifying project, Worcester Polytechnic Institute (2013)
Checkoway S., et al.: Comprehensive experimental analyses of automotive attack surfaces. In: Proceedings of USENIX Security (2011)
Chen, D., Ahn, S., Chitturi, M., Noyce, D.A.: Towards vehicle automation: roadway capacity formulation for traffic mixed with regular and automated vehicles. Transp. Res. Part B Methodol. 100, 196–221 (2017)
Cohen, S.A., Hopkins, D.: Autonomous vehicles and the future of urban tourism. Ann. Tour. Res. 74, 33–42 (2019)
Da Xu, L., Duan, L.: Big data for cyber physical systems in industry 4.0: a survey. Enterp. Inf. Syst. 13, 148–169 (2019)
Dixit, V.V., Chand, S., Nair, D.J.: Autonomous vehicles: disengagements, accidents and reaction times. PLoS one 11(12), e0168054 (2016)
Fagnant, D.J., Kockelman, K.: Preparing a nation for autonomous vehicles: opportunities, barriers and policy recommendations. Transp. Res. Part A Policy Pract. 77, 167–181 (2015)
Favarò, F.M., Nader, N., Eurich, S.O., Tripp, M., Varadaraju, N.: Examining accident reports involving autonomous vehicles in California. PLoS One 12, e0184952 (2017). https://doi.org/10.1371/journal.pone.0184952
Howard, D., Dai, D.: Public perceptions of self-driving cars: the case of Berkeley, California. In: Paper Presented at the 93rd Annual Meeting of the Transportation Research Board, Washington D.C (2014)
Kala, W.K.: Motion planning of autonomous vehicles in a non-autonomous vehicle environment without speed lanes. Eng. Appl. Artif. Intell. 26, 1588–1601 (2013)
König, M., Neumayr, L.: Users’ resistance towards radical innovations: the case of the self-driving car. Transp. Res. Part F 44, 42–52 (2017)
Kröger, L., Kuhnimhof, T., Trommer, S.: Does context matter? a comparative study modelling autonomous vehicle impact on travel behaviour for Germany and the USA. Transp. Res. Part A Policy Pract. 122, 146–161 (2018)
Kyriakidis, M., Happee, R., Winter, J.C.F.: Public opinion on automated driving: results of an international questionnaire among 5000 respondents. Transp. Res. Part F Traffic Psychol. Behav. 32, 127–140 (2015)
Liu, B., Shi, Q., Song, Z., El Kamel, A.: Trajectory planning for autonomous intersection management of connected vehicles. Simul. Model. Pract Theory 90, 16–30 (2019)
NHTSA (2021). https://www.nhtsa.gov/technology-innovation/automated-vehicles-safety
Parkinson, S., Ward, P., Wilson, K., Miller, J.: Cyber threats facing autonomous and connected vehicles: future challenges. IEEE Trans. Intell. Transp. Syst. 18(11), 2898–2915 (2017)
Petrović, Đ, Mijailović, R., Pešić, D.: Traffic accidents with autonomous vehicles: type of collisions, manoeuvres and errors of conventional vehicles’ drivers. Transp. Res. Procedia 45, 161–168 (2020)
Schoettle, B., Sivak, M.: A survey of public opinion about autonomous and self-driving vehicles in the U.S., the U.K., and Australia, Technical Report, The University of Michigan Transportation Research Institute (2014)
Shabanpour, R., Golshani, N., Shamshiripour, A., Mohammadian, A.K.: Eliciting preferences for adoption of fully automated vehicles using best-worst analysis. Transp. Res. Part C: Emerg. Technol. 93, 463–478 (2018)
Signifredi, A., Luca, B., Coati, A., Medina, J.S., Molinari, D.: A general purpose approach for global and local path planning combination. In: 2015 IEEE 18th International Conference Intelligent Transportation System, pp. 996–1001. IEEE (2015)
Silberg, G., et al.: Self-Driving Cars: Are we Ready?, Technical Report, KPMG (2013)
Singh S, for NHTSA. Critical reasons for crashes investigated in the national motor vehicle crash causation survey -DOT HS 812 115, US Department of Transportation. https://crashstats.nhtsa.dot.gov/Api/Public/ViewPublication/812115
Tibljaš, A.D., Giuffrè, T., Surdonja, S., Trubia, S.: Introduction of autonomous vehicles: roundabouts design and safety performance evaluation. Sustainability 10, 1–14 (2018). https://doi.org/10.3390/su10041060
Vahidi, A., Sciarretta, A.: Energy saving potentials of connected and auto- mated vehicles. Transp. Res. Part C Emerg. Technol. 95, 822–843 (2018)
Wadud, Z.: Fully automated vehicles: a cost of ownership analysis to in- form early adoption. Transp. Res. Part A Policy Pract. 101, 163–176 (2017)
Zaidi, K., Rajarajan, M.: Vehicular Internet: security & privacy challenges and opportunities. Future Internet 7(3), 257–275 (2015)
Zhou, Y., Li, H., Shi, C., Lu, N., Cheng, N.: A fuzzy-rule based data delivery scheme in VANETs with intelligent speed prediction and relay selection. Wirel. Commun. Mob. Comput., 1–15 (2018)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Bakioglu, G., Atahan, A.O. (2022). A Review on Benefits and Security Concerns for Self Driving Vehicles. In: Akhnoukh, A., et al. Advances in Road Infrastructure and Mobility. IRF 2021. Sustainable Civil Infrastructures. Springer, Cham. https://doi.org/10.1007/978-3-030-79801-7_48
Download citation
DOI: https://doi.org/10.1007/978-3-030-79801-7_48
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-79800-0
Online ISBN: 978-3-030-79801-7
eBook Packages: Earth and Environmental ScienceEarth and Environmental Science (R0)