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A systematic literature review of the factors influencing the adoption of autonomous driving

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Abstract

Autonomous vehicles (AVs) are the latest trend in the automobile industry. Although the concept has existed since the beginning of the last century, recent technological advancements have enabled the industry to attempt mass introduction of driverless vehicles. This paper reviews the literature to explore those factors that influence the successful adoption of AVs. Previous literature in the field was gathered and analyzed using a categorization method to identify factors that are essential to the successful adoption of AVs. A total of 14 factors. These factors were identified from 85 articles published in various journals such as: transportation research part A: policy and practice, rand corporation, yale journal of law and technology in the literature, which could be sorted into four readiness categories: technology (vehicle technology, safety and ethics), infrastructure (communication, technology of roads and traffic signs and cost of infrastructure), legal (liability, privacy and cybersecurity) and user acceptance (consumer acceptance, marketing and advertising, cost of AVs and trust). Stakeholders will need to work on these four areas to ensure successful mass adoption of AVs and decrease the chance of failure. The paper also recommends future research on these four categories and their 14 success factors to provide additional information on how the government can adopt autonomous driving.

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References

  • Abraham H, Lee C, Brady S, Fitzgerald C, Mehler B, Reimer B, Coughlin JF (2017) Autonomous vehicles and alternatives to driving: trust, preferences, and effects of age. In: Proceedings of the transportation research board 96th annual meeting (TRB'17)

  • Adegoke EI, Zidane J, Kampert E, Ford CR, Birrell SA, Higgins MD (2019) Infrastructure Wi-Fi for connected autonomous vehicle positioning: a review of the state-of-the-art. Veh Commun 20:100185

    Google Scholar 

  • Adnan N, Nordin SM, bin Bahruddin, MA, Ali M (2018) How trust can drive forward the user acceptance to the technology? In-vehicle technology for autonomous vehicle. Transp Res Part A Policy Pract 118:819–836

    Google Scholar 

  • Agunbiade YO., Dehinbo JO, Zuva T, Akanbi AK (2016) Road detection technique using filters with application to autonomous driving system. arXiv preprint http://arxiv.org/abs/1809.05878

  • Ajzen I (1991) The theory of planned behaviour. Organ Behav Hum Decis Process 50(2):179–221

    Google Scholar 

  • Al-Khouri AM (2012) eGovernment strategies the case of the United Arab Emirates (UAE). Eur J ePractice 17:126–150

    Google Scholar 

  • Anderson JM, Nidhi K, Stanley KD, Sorensen P, Samaras C, Oluwatola OA (2016) Autonomous vehicle technology: a guide for policymakers. Rand Corporation, Monica

    Google Scholar 

  • Ayawli BBK, Chellali R, Appiah AY, Kyeremeh F (2018) An overview of nature-inspired, conventional, and hybrid methods of autonomous vehicle path planning. J Adv Transp 2018:1–27

    Google Scholar 

  • Bagloee SA, Tavana M, Asadi M, Oliver T (2016) Autonomous vehicles: challenges, opportunities, and future implications for transportation policies. J Mod Transp 24(4):284–303

    Google Scholar 

  • Bansal P, Kockelman KM (2017) Forecasting Americans’ long-term adoption of connected and autonomous vehicle technologies. Transp Res Part A Policy Pract 95:49–63

    Google Scholar 

  • Bansal P, Kockelman KM, Singh A (2016) Assessing public opinions of and interest in new vehicle technologies: an Austin perspective. Transp Res Part C Emerg Technol 67:1–14

    Google Scholar 

  • Barabás I, Todoruţ A, Cordoş N, Molea A (2017) Current challenges in autonomous driving. In: IOP conference series: materials science and engineering, vol 252, no. 1. IOP Publishing, p 012096

  • Barnard M, Hitt R, Norton M, Lee YC (2019) Posing questions and policy suggestions: autonomous vehicles & climate change. In: Proceedings of the... international driving symposium on human factors in driver assessment, training and vehicle design, vol 2019. University of Iowa Public Policy Center, pp 308–313

  • Bimbraw K (2015) Autonomous cars: past, present and future a review of the developments in the last century, the present scenario and the expected future of autonomous vehicle technology. In: 2015 12th international conference on informatics in control, automation and robotics (ICINCO), vol 1. IEEE, pp 191–198

  • Bloom C, Tan J, Ramjohn J, Bauer L (2017) Self-driving cars and data collection: Privacy perceptions of networked autonomous vehicles. In: Thirteenth symposium on usable privacy and security ({SOUPS} 2017, pp 357–375

  • Boeglin J (2015) The costs of self-driving cars: reconciling freedom and privacy with tort liability in autonomous vehicle regulation. Yale J Law Technol 17:171

    Google Scholar 

  • Bösch PM, Becker F, Becker H, Axhausen KW (2018) Cost-based analysis of autonomous mobility services. Transp Policy 64:76–91

    Google Scholar 

  • Brenner W, Herrmann A (2018) An overview of technology, benefits and impact of automated and autonomous driving on the automotive industry. In: Linnhoff-Popien C, Schneider R, Zaddach M (eds) Digital marketplaces unleashed. Springer, Berlin, Heidelberg, pp 427–442

    Google Scholar 

  • Brereton P, Kitchenham BA, Budgen D, Turner M, Khalil M (2007) Lessons from applying the systematic literature review process within the software engineering domain. J Syst Softw 80(4):571–583

    Google Scholar 

  • Campbell M, Egerstedt M, How JP, Murray RM (2010) Autonomous driving in urban environments: approaches, lessons and challenges. Philos Trans R Soc Math Phys Eng Sci 368(1928):4649–4672

    Google Scholar 

  • Chen TD, Kockelman KM (2016) Management of a shared autonomous electric vehicle fleet: implications of pricing schemes. Transp Res Rec 2572(1):37–46

    Google Scholar 

  • Chen TD, Kockelman KM, Hanna JP (2016) Operations of a shared, autonomous, electric vehicle fleet: implications of vehicle & charging infrastructure decisions. Transp Res Part A Policy Pract 94:243–254

    Google Scholar 

  • Cho E, Jung Y (2018) Consumers’ understanding of autonomous driving. Inf Technol People 31(5):1035–1046

    Google Scholar 

  • Choi JK, Ji YG (2015) Investigating the importance of trust on adopting an autonomous vehicle. Int J Hum Comput Interact 31(10):692–702

    Google Scholar 

  • Collingwood L (2017) Privacy implications and liability issues of autonomous vehicles. Inf Commun Technol Law 26(1):32–45

    Google Scholar 

  • Cook DJ, Mulrow CD, Haynes RB (1997) Systematic reviews: synthesis of best evidence for clinical decisions. Ann Intern Med 126(5):376–380

    Google Scholar 

  • Cunneen M, Mullins M, Murphy F, Shannon D, Furxhi I, Ryan C (2020) Autonomous vehicles and avoiding the trolley (dilemma): vehicle perception, classification, and the challenges of framing decision ethics. Cybern Syst 51(1):59–80

    Google Scholar 

  • Davidson P, Spinoulas A (2015) Autonomous vehicles: what could this mean for the future of transport. In: Australian Institute of Traffic Planning and Management (AITPM) National Conference, Brisbane, Queensland

  • Daziano RA, Sarrias M, Leard B (2017) Are consumers willing to pay to let cars drive for them? Analyzing response to autonomous vehicles. Transp Res Part C Emerg Technol 78:150–164

    Google Scholar 

  • Deb S, Strawderman L, Carruth DW, DuBien J, Smith B, Garrison TM (2017) Development and validation of a questionnaire to assess pedestrian receptivity toward fully autonomous vehicles. Transp Res Part C Emerg Technol 84:178–195

    Google Scholar 

  • Dixit VV, Chand S, Nair DJ (2016) Autonomous vehicles: disengagements, accidents and reaction times. PLoS ONE 11(12):e0168054

    Google Scholar 

  • Duarte F, Ratti C (2018) The impact of autonomous vehicles on cities: a review. J Urban Technol 25(4):3–18

    Google Scholar 

  • Engelman GH, Miller AM, Stephenson RL, Tellis L, Zwicky TD (2017) U.S. Patent No. 9,666,069. Washington, DC: U.S. Patent and Trademark Office

  • 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

    Google Scholar 

  • Fagnant DJ, Kockelman KM, Bansal P (2015) Operations of shared autonomous vehicle fleet for Austin, Texas, market. Transp Res Rec 2563(1):98–106

    Google Scholar 

  • Faisal A, Yigitcanlar T, Kamruzzaman M, Currie G (2019) Understanding autonomous vehicles: a systematic literature review on capability, impact, planning and policy. J Transp Land Use 12(1):45–72

    Google Scholar 

  • Flemming B, Gill V, Godsmark P, Kirk B (2015) Automated vehicles: the coming of the next disruptive technology. In: The Conference Board of Canada; Conference Board of Canada, Ottawa, ON, Canada

  • Fried BH (2012) What does matter? The case for killing the trolley problem (or letting it die). Philos Q 62(248):505–529

    Google Scholar 

  • Ge IJ, Avedisov SS, He CR, Qin WB, Sadeghpour M, Orosz G (2018) Experimental validation of connected automated vehicle design among human-driven vehicles. Transp Res Part C Emerg Technol 91:335–352

    Google Scholar 

  • Geistfeld MA (2017) A roadmap for autonomous vehicles: state tort liability, automobile insurance, and federal safety regulation. Calif Law Rev 105:1611

    Google Scholar 

  • Glancy DJ (2012) Privacy in autonomous vehicles. Santa Clara Law Rev 52:1171

    Google Scholar 

  • Goel P, Goudar RH, Malik R, Singh R, Singh NK (2017) Localization based intelligent traffic management system. Int J Syst Assur Eng Manag 8(1):90–98

    Google Scholar 

  • Gogoll J, Müller JF (2017) Autonomous cars: in favor of a mandatory ethics setting. Sci Eng Ethics 23(3):681–700

    Google Scholar 

  • Goodall NJ (2016) Away from trolley problems and toward risk management. Appl Artif Intell 30(8):810–821

    Google Scholar 

  • Guo H, Cao D, Chen H, Sun Z, Hu Y (2019) Model predictive path following control for autonomous cars considering a measurable disturbance: implementation, testing, and verification. Mech Syst Signal Process 118:41–60

    Google Scholar 

  • Gurumurthy KM, Kockelman KM (2020) Modeling Americans’ autonomous vehicle preferences: a focus on dynamic ride-sharing, privacy & long-distance mode choices. Technol Forecast Soc Change 150:119792

    Google Scholar 

  • Güzel MS (2013) Autonomous vehicle navigation using vision and mapless strategies: a survey. Adv Mech Eng 5:234747

    Google Scholar 

  • Helle P, Schamai W, Strobel C (2016) Testing of autonomous systems—challenges and current state‐of‐the‐art. In: INCOSE international symposium, vol 26, no. 1, pp 571–584

  • Hörl S, Ciari F, Axhausen KW (2016) Recent perspectives on the impact of autonomous vehicles. In: Arbeitsberichte Verkehrs-und Raumplanung, vol 1216

  • Jadaan K, Zeater S, Abukhalil Y (2017) Connected vehicles: an innovative transport technology. Procedia Eng 187:641–648

    Google Scholar 

  • Jiménez F, Clavijo M, Naranjo JE, Gómez Ó (2016) Improving the lane reference detection for autonomous road vehicle control. J Sens 2016:1–13

    Google Scholar 

  • Johnson C (2017) Readiness of the road network for connected and autonomous vehicles. RAC Foundation, London

    Google Scholar 

  • Khan A (2017) Modelling human factors for advanced driving assistance system design. In: Stanton N, Landry S, Di Bucchianico G, Vallicelli A (eds) Advances in human aspects of transportation, vol 484. Springer, Cham, pp 3–14

    Google Scholar 

  • Karsh BT (2004) Beyond usability: designing effective technology implementation systems to promote patient safety. BMJ Qual Saf 13(5):388–394

    Google Scholar 

  • Kennedy C (2017) New threats to vehicle safety: how cybersecurity policy will shape the future of autonomous vehicles. Michigan Telecommun Technol Law Rev 23:343

    Google Scholar 

  • Koopman P, Wagner M (2017) Autonomous vehicle safety: an interdisciplinary challenge. IEEE Intell Transp Syst Mag 9(1):90–96

    Google Scholar 

  • KPMG (2018) Autonomous Vehicles Readiness Index: assessing countries openness and preparedness for autonomous vehicles, vol 60

  • Kuderer M, Gulati S, Burgard W (2015) Learning driving styles for autonomous vehicles from demonstration. In: 2015 IEEE international conference on robotics and automation (ICRA). IEEE, pp 2641–2646

  • Kuutti S, Fallah S, Katsaros K, Dianati M, Mccullough F, Mouzakitis A (2018) A survey of the state-of-the-art localization techniques and their potentials for autonomous vehicle applications. IEEE Internet Things J 5(2):829–846

    Google Scholar 

  • Latham A, Nattrass M (2019) Autonomous vehicles, car-dominated environments, and cycling: using an ethnography of infrastructure to reflect on the prospects of a new transportation technology. J Transp Geogr 81:102539

    Google Scholar 

  • Leicht T, Chtourou A, Youssef KB (2018) Consumer innovativeness and intentioned autonomous car adoption. J High Technol Manag Res 29(1):1–11

    Google Scholar 

  • Lengyel H, Szalay Z (2018) Traffic sign anomalies and their effects to the highly automated and autonomous vehicles. In: 35th international colloquium on advanced manufacturing and repair technologies in vehicle industry, pp 193–204

  • Levin MW, Boyles SD (2015) Intersection auctions and reservation-based control in dynamic traffic assignment. Transp Res Rec 2497(1):35–44

    Google Scholar 

  • Levin MW, Boyles SD, Patel R (2016) Paradoxes of reservation-based intersection controls in traffic networks. Transp Res Part A Policy Pract 90:14–25

    Google Scholar 

  • Link H, Nash C, Ricci A, Shires J (2016) A generalized approach for measuring the marginal social costs of road transport in Europe. Int J Sustain Transp 10(2):105–119

    Google Scholar 

  • Linkov V, Zámečník P, Havlíčková D, Pai CW (2019) Human factors in the cybersecurity of autonomous cars: trends in current research. Front Psychol 10:995

    Google Scholar 

  • Litman T (2014) Autonomous vehicle implementation predictions implications for transport planning. Victoria Transport Policy Institute, Victoria

    Google Scholar 

  • Litman T (2017) Autonomous vehicle implementation predictions. Victoria Transport Policy Institute, Victoria, p 28

    Google Scholar 

  • Lytrivis P, Papanikolaou E, Amditis A, Dirnwöber M, Froetscher A, Protzmann R, ... Kerschbaumer A (2018) Advances in road infrastructure, both physical and digital, for mixed vehicle traffic flows. In: Proceedings of the 7th transport research Arena, Vienna, Austria, 16–19

  • Marchant GE, Lindor RA (2012) The coming collision between autonomous vehicles and the liability system. Santa Clara Law Rev 52:1321

    Google Scholar 

  • Medina-Tapia M, Robusté F (2019) Implementation of connected and autonomous vehicles in cities could have neutral effects on the total travel time costs: modeling and analysis for a circular city. Sustainability 11(2):482

    Google Scholar 

  • Mohamed A, Ren J, El-Gindy M, Lang H, Ouda AN (2018) Literature survey for autonomous vehicles: sensor fusion, computer vision, system identification and fault tolerance. Int J Autom Control 12(4):555–581

    Google Scholar 

  • Morando MM, Tian Q, Truong LT, Vu HL (2018) Studying the safety impact of autonomous vehicles using simulation-based surrogate safety measures. J Adv Transp 2018:1–11

  • Mordue G, Yeung A, Wu F (2020) The looming challenges of regulating high level autonomous vehicles. Transp Res Part A Policy Pract 132:174–187

    Google Scholar 

  • Namazi E, Li J, Lu C (2019) Intelligent intersection management systems considering autonomous vehicles: a systematic literature review. IEEE Access 7:91946–91965

    Google Scholar 

  • Nikitas A, Njoya ET, Dani S (2019) Examining the myths of connected and autonomous vehicles: analysing the pathway to a driverless mobility paradigm. Int J Automot Technol Manage 19(1–2):10–30

    Google Scholar 

  • O'Kelly M, Abbas H, Mangharam R (2017) Computer-aided design for safe autonomous vehicles. In: 2017 resilience week (RWS). IEEE, pp 90–96

  • Oliveira CMD, De Mello A, Bandeira R, Vasconcelos Goes G, Schmitz Gonçalves DN, D’Agosto MDA (2017) Sustainable vehicles-based alternatives in last mile distribution of urban freight transport: A systematic literature review. Sustainability 9(8):1324

    Google Scholar 

  • Pandey P, Shukla A, Tiwari R (2018) Three-dimensional path planning for unmanned aerial vehicles using glowworm swarm optimization algorithm. Int J Syst Assur Eng Manag 9(4):836–852

    Google Scholar 

  • Parry IW, Walls M, Harrington W (2007) Automobile externalities and policies. J Econ Lit 45(2):373–399

    Google Scholar 

  • Pek C, Althoff M (2019) Ensuring motion safety of autonomous vehicles through online fail-safe verification. In; Robotics: science and systems-pioneers workshop

  • Pek C, Zahn P, Althoff M (2017) Verifying the safety of lane change maneuvers of self-driving vehicles based on formalized traffic rules. In: 2017 IEEE intelligent vehicles symposium (IV). IEEE, pp 1477–1483

  • Pendleton SD, Andersen H, Du X, Shen X, Meghjani M, Eng YH, Ang MH (2017) Perception, planning, control, and coordination for autonomous vehicles. Machines 5(1):6

    Google Scholar 

  • Plathottam SJ, Ranganathan P (2018) Next generation distributed and networked autonomous vehicles. In: 2018 10th international conference on communication systems & networks (COMSNETS). IEEE, pp 577–582

  • Puylaert S, Snelder M, van Nes R, van Arem B (2018) Mobility impacts of early forms of automated driving—a system dynamic approach. Transp Policy 72:171–179

    Google Scholar 

  • Ramanujam M (2017) U.S. Patent No. 9,805,519. Washington, DC: U.S. Patent and Trademark Office

  • Rhiu I, Kwon S, Bahn S, Yun MH, Yu W (2015) Research issues in smart vehicles and elderly drivers: a literature review. Int J Hum Comput Interact 31(10):635–666

    Google Scholar 

  • Riehl DA (2018) Car minus driver: autonomous vehicles driving regulation, liability, and policy. Comput Internet Lawyer 35(5):1–18

    Google Scholar 

  • Rosique F, Navarro PJ, Fernández C, Padilla A (2019) A systematic review of perception system and simulators for autonomous vehicles research. Sensors 19(3):648

    Google Scholar 

  • Ross PE (2014) Robot, you can drive my car. IEEE Spectr 51(6):60–90

    Google Scholar 

  • SAE International (2018) Taxonomy and definitions for terms related to driving automation systems for on-road motor vehicles. SAE International, Washington

    Google Scholar 

  • Schoettle B, Sivak M (2016). Motorists’ preferences for different levels of vehicle automation: 2016. University of Michigan Sustainable Worldwide Transportation.

  • Schwammberger M (2018) Introducing Liveness into Multi-lane Spatial Logic lane change controllers using UPPAAL. arXiv preprint http://arxiv.org/abs/1804.04346

  • Schwarting W, Alonso-Mora J, Rus D (2018) Planning and decision-making for autonomous vehicles. Ann Rev Control Robot Auton Syst 1:187–210

    Google Scholar 

  • Sener IN, Zmud J (2019) Chipping away at uncertainty: intent to use self-driving vehicles and the role of ride-hailing. Transp Plan Technol 42(7):645–661

    Google Scholar 

  • Sheehan B, Murphy F, Mullins M, Ryan C (2019) Connected and autonomous vehicles: a cyber-risk classification framework. Transp Res Part A Policy Pract 124:523–536

    Google Scholar 

  • Shi W, Alawieh MB, Li X, Yu H (2017) Algorithm and hardware implementation for visual perception system in autonomous vehicle: a survey. Integration 59:148–156

    Google Scholar 

  • Shladover SE (2018) Connected and automated vehicle systems: introduction and overview. J Intell Transp Syst 22(3):190–200

    Google Scholar 

  • Singh S, Galar D, Baglee D, Björling SE (2014) Self-maintenance techniques: a smart approach towards self-maintenance system. Int J Syst Assur Eng Manag 5(1):75–83

    Google Scholar 

  • Skeete JP (2018) Level 5 autonomy: the new face of disruption in road transport. Technol Forecast Soc Change 134:22–34

    Google Scholar 

  • Sparrow R, Howard M (2017) When human beings are like drunk robots: driverless vehicles, ethics, and the future of transport. Transp Res Part C Emerg Technolog 80:206–215

    Google Scholar 

  • Steininger M, Stephan C, Böhm C, Sauer F, Zink R (2016) Mapping the surroundings as a requirement for autonomous driving. Acta Polytech CTU Proc 6:28–33

    Google Scholar 

  • Steyn WJvdM, Maina JW (2019) Guidelines for the use of accelerated pavement testing data in autonomous vehicle infrastructure research. J Traffic Transp Eng (English Edition) 6:273–281

    Google Scholar 

  • Taeihagh A, Lim HSM (2019) Governing autonomous vehicles: emerging responses for safety, liability, privacy, cybersecurity, and industry risks. Transp Rev 39(1):103–128

    Google Scholar 

  • Talebian A, Mishra S (2018) Predicting the adoption of connected autonomous vehicles: a new approach based on the theory of diffusion of innovations. Transp Res Part C Emerg Technol 95:363–380

    Google Scholar 

  • Thomé AMT, Scavarda LF, Scavarda AJ (2016) Conducting systematic literature review in operations management. Prod Plan Control 27(5):408–420

    Google Scholar 

  • Tian Y, Pei K, Jana S, Ray B (2018) Deeptest: automated testing of deep-neural-network-driven autonomous cars. In: Proceedings of the 40th international conference on software engineering, pp 303–314

  • Tokody D, Albini A, Ady L, Rajnai Z, Pongrácz F (2018) Safety and security through the design of autonomous intelligent vehicle systems and intelligent infrastructure in the smart city. Interdiscip Descr Complex Syst INDECS 16(3-A):384–396

    Google Scholar 

  • Tranfield D, Denyer D, Smart P (2003) Towards a methodology for developing evidence-informed management knowledge by means of systematic review. Br J Manag 14(3):207–222

    Google Scholar 

  • Urmson C (2016) Google self-driving car project. In: South by Southwest (SXSW)

  • Van Brummelen J, O’Brien M, Gruyer D, Najjaran H (2018) Autonomous vehicle perception: the technology of today and tomorrow. Transp Res Part C Emerg Technol 89:384–406

    Google Scholar 

  • Vellinga NE (2017) From the testing to the deployment of self-driving cars: legal challenges to policymakers on the road ahead. Comput Law Secur Rev 33(6):847–863

    Google Scholar 

  • Xargay E, Dobrokhodov V, Kaminer I, Pascoal AM, Hovakimyan N, Cao C (2012) Time-critical cooperative control of multiple autonomous vehicles: robust distributed strategies for path-following control and time-coordination over dynamic communications networks. IEEE Control Syst Mag 32(5):49–73

    MathSciNet  MATH  Google Scholar 

  • Zheng L, Li B, Yang B, Song H, Lu Z (2019) Lane-level road network generation techniques for lane-level maps of autonomous vehicles: a survey. Sustainability 11(16):4511

    Google Scholar 

  • Zmud JP, Sener IN (2017) Towards an understanding of the travel behavior impact of autonomous vehicles. Transp Res Procedia 25:2500–2519

    Google Scholar 

  • Zmud J, Sener IN, Wagner J (2016) Self-driving vehicles: determinants of adoption and conditions of usage. Transp Res Rec 2565(1):57–64

    Google Scholar 

  • Zohdy IH, Rakha HA (2016) Intersection management via vehicle connectivity: the intersection cooperative adaptive cruise control system concept. J Intell Transp Syst 20(1):17–32

    Google Scholar 

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Authors and Affiliations

  1. Engineering Management Department, College of Engineering, University of Sharjah, Sharjah, UAE

    Mohamed Alawadhi

  2. Projects Reliability Assurance Department, Dubai Aviation Engineering Projects, Dubai, UAE

    Jumah Almazrouie

  3. Mechanical and Nuclear Engineering Department, University of Sharjah, Sharjah, UAE

    Mohammed Kamil & Khalil Abdelrazek Khalil

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  1. Mohamed Alawadhi
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Alawadhi, M., Almazrouie, J., Kamil, M. et al. A systematic literature review of the factors influencing the adoption of autonomous driving. Int J Syst Assur Eng Manag 11, 1065–1082 (2020). https://doi.org/10.1007/s13198-020-00961-4

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