Skip to main content

Sustainable Interdependent Networks from Smart Autonomous Vehicle to Intelligent Transportation Networks

  • Chapter
  • First Online:
Sustainable Interdependent Networks II

Abstract

The next step to the evolution of human transportation is the replacement of human driver by the artificial-intelligence-capable machine (i.e., autonomous vehicle). The prospect of improving aspects of lives including better utilization of cost, increased mobility, and independence as well as futuristic urban planning are some of the foreseen benefits. Regardless, the challenges remain especially to convince the consumers to trust the machines in exchange for their safety and ultimately their lives. This chapter seeks to highlight the ethical implications of the autonomous technology as a prerequisite to establishing trust between man and machine. Recent studies on the technology are cited in this chapter in order to give an overall outlook of the current discussion on the topic including on the issue of ethics. The objectives of the ethical consideration have to be grounded to the main objective of benefitting the society as a whole. As such, individual rights to access of information, system configuration, and education regarding autonomous technology should be upheld. In the end, it is important to integrate the autonomous systems into larger, interdependent transportation network systems in planning the future urban infrastructure and realize the full benefits of the technologies.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Nagler, J., van den Hoven, J., & Helbing, D. (2018). Ethics for times of crisis: How; not to use autonomous systems in an unsustainable world.

    Google Scholar 

  2. Fagnant, D. J., & Kockelman, K. M. (2014). The travel and environmental implications of shared autonomous vehicles, using agent-based model scenarios. Transportation Research Part C: Emerging Technologies, 40, 1–13.

    Article  Google Scholar 

  3. Fleetwood, J. (2017). Public health, ethics, and autonomous vehicles. American Journal of Public Health, 107(4), 532–537.

    Article  Google Scholar 

  4. Litman, T. (2017). Autonomous vehicle implementation predictions. Victoria: Victoria Transport Policy Institute.

    Google Scholar 

  5. Gao, P., Kaas, H.-W., Mohr, D., & Wee, D. (2016). Automotive revolution–perspective towards 2030: How the convergence of disruptive technology-driven trends could transform the auto industry. New York: Advanced Industries, McKinsey.

    Google Scholar 

  6. K. Heineke, P. Kampshoff, Mkrtchyan, A., & Shao, E. (2017). Self-driving car technology: When will the robots hit the road? McKinsey Global Institute. www.mckinsey.com/industries/automotive-and-assembly/our-insights/self-driving-car-technology-when-will-the-robots-hit-the-road.

  7. Gogoll, J., & Müller, J. F. (2017). Autonomous cars: In favor of a mandatory ethics setting. Science and Engineering Ethics, 23(3), 681–700.

    Article  Google Scholar 

  8. Kearney, A. T. (2016). How automakers can survive the self-driving era. Retrieved November (vol. 14, p. 2017).

    Google Scholar 

  9. Reese, H. (2016, January 20). Autonomous driving levels 0 to 5: Understanding the differences, TechRepublic.

    Google Scholar 

  10. Adnan, N., Nordin, S. M., Rahman, I., & Amini, M. H. (2017). A market modeling review study on predicting Malaysian consumer behavior towards widespread adoption of PHEV/EV. Environmental Science and Pollution Research, 24(22), 17955–17975.

    Article  Google Scholar 

  11. Adnan, N., Nordin, S. M., & Althawadi, O. M. (2018). Barriers towards widespread adoption of V2G technology in smart grid environment: from laboratories to commercialization. In Sustainable interdependent networks (pp. 121–134). Berlin: Springer.

    Chapter  Google Scholar 

  12. Zhao, W., Gong, M., Chen, Y., Jiang, B., & Chen, H. (2017). Research on navigation method of substation inspection car based on image recognition. In Chinese Automation Congress (CAC), 2017, (pp. 3236–3240).

    Google Scholar 

  13. Anderson, J. M., Nidhi, K., Stanley, K. D., Sorensen, P., Samaras, C., & Oluwatola, O. A. (2014). Autonomous vehicle technology: A guide for policymakers. Santa Monica, CA: Rand Corporation.

    Google Scholar 

  14. Fagnant, D., & Kockelman, K. M. (2015). Preparing a nation for autonomous vehicles: Opportunities, barriers and policy recommendations. Transportation Research Part A, 77, 167–181.

    Google Scholar 

  15. Fagnant, D. J., & Kockelman, K. (2015). Preparing a nation for autonomous vehicles: Opportunities, barriers and policy recommendations. Transportation Research Part A: Policy and Practice, 77, 167–181.

    Google Scholar 

  16. I. S. Association. (2017). The IEEE global initiative on ethics of autonomous and intelligent systems. IEEE.org. [Online]. Retrieved from http://standards.ieee.org/develop/indconn/ec/autonomous_systems.html.

  17. Anderson, J. M., Kalra, N., Stanley, K. D., Sorensen, P., Samaras, C., & Oluwatola, O. A. (2014). Autonomous vehicle technology: How to best realize its social benefits.,” Brief. Santa Monica, CA: RAND Corporation.

    Google Scholar 

  18. Bansal, P., & Kockelman, K. M. (2017). Forecasting Americans’ long-term adoption of connected and autonomous vehicle technologies. Transportation Research Part A: Policy and Practice, 95, 49–63.

    Google Scholar 

  19. Fagnant, D. J., & Kockelman, K. M. (2018). Dynamic ride-sharing and fleet sizing for a system of shared autonomous vehicles in Austin, Texas. Transportation, 45(1), 143–158.

    Article  Google Scholar 

  20. Koopman, P., & Wagner, M. (2017). Autonomous vehicle safety: An interdisciplinary challenge. IEEE Intelligent Transportation Systems Magazine, 9(1), 90–96.

    Article  Google Scholar 

  21. Ohnsman, A. (2014, July). Automated cars may boost fuel use, toyota scientist says. Bloomberg (vol. 16).

    Google Scholar 

  22. Zhu, F., & Ukkusuri, S. V. (2015). A linear programming formulation for autonomous intersection control within a dynamic traffic assignment and connected vehicle environment. Transportation Research Part C: Emerging Technologies, 55, 363–378.

    Article  Google Scholar 

  23. Bonnefon, J.-F., Shariff, A., & Rahwan, I. (2015). Autonomous vehicles need experimental ethics: Are we ready for utilitarian cars? arXiv preprint arXiv:1510.03346.

    Google Scholar 

  24. Millard-Ball, A. (2016). Pedestrians, autonomous vehicles, and cities. Journal of Planning Education and Research, 36(2), 210–224. https://doi.org/10.1177/0739456X16675674.

    Article  Google Scholar 

  25. Trommer, S., Kolarova, V., Frädrich, E., Kröger, L., Kickhöfer, B., Kuhnimhof, T., et al. (2016). Autonomous driving-the impact of vehicle automation on mobility behaviour. Munich: Institute for Mobility Research (ifmo).

    Google Scholar 

  26. Kröger, L., Kuhnimhof, T., & Trommer, S. (2016). Modelling the impact of automated driving–private autonomous vehicle scenarios for Germany and the US. In European Transport Conference 2016 Association for European Transport (AET).

    Google Scholar 

  27. Howard, D., & Dai, D. (2014). Public perceptions of self-driving cars: The case of Berkeley, California. In Transportation Research Board 93rd Annual Meeting (vol. 14, no. 4502).

    Google Scholar 

  28. Payre, W., Cestac, J., & Delhomme, P. (2014). Intention to use a fully automated car: Attitudes and a priori acceptability. Transportation Research Part F: Traffic Psychology and Behaviour, 27, 252–263.

    Article  Google Scholar 

  29. Kyriakidis, M., Happee, R., & de Winter, J. C. F. (2015). Public opinion on automated driving: Results of an international questionnaire among 5000 respondents. Transportation Research Part F: Traffic Psychology and Behaviour, 32, 127–140.

    Article  Google Scholar 

  30. Hohenberger, C., Spörrle, M., & Welpe, I. M. (2017). Not fearless, but self-enhanced: The effects of anxiety on the willingness to use autonomous cars depend on individual levels of self-enhancement. Technological Forecasting and Social Change, 116, 40–52.

    Article  Google Scholar 

  31. Hulse, L. M., Xie, H., & Galea, E. R. (2018). Perceptions of autonomous vehicles: Relationships with road users, risk, gender and age. Safety Science, 102, 1–13.

    Article  Google Scholar 

  32. Daziano, R. A., Sarrias, M., & Leard, B. (2017). Are consumers willing to pay to let cars drive for them? Analyzing response to autonomous vehicles. Transportation Research Part C: Emerging Technologies, 78, 150–164.

    Article  Google Scholar 

  33. Schoettle, B., & Sivak, M. (2014). A survey of public opinion about autonomous and self-driving vehicles in the US, the UK, and Australia.

    Google Scholar 

  34. König, M., & Neumayr, L. (2017). Users’ resistance towards radical innovations: The case of the self-driving car. Transportation Research Part F: Traffic Psychology and Behaviour, 44, 42–52.

    Article  Google Scholar 

  35. Goodall, N. J. (2014). Machine ethics and automated vehicles. In Road vehicle automation (pp. 93–102). Berlin: Springer.

    Chapter  Google Scholar 

  36. Arkin, R. C. (2016). Ethics and autonomous systems: Perils and promises [point of view]. Proceedings of the IEEE, 104(10), 1779–1781.

    Article  Google Scholar 

  37. Hevelke, A., & Nida-Rümelin, J. (2015). Responsibility for crashes of autonomous vehicles: An ethical analysis. Science and Engineering Ethics, 21(3), 619–630.

    Article  Google Scholar 

  38. Millar, J. (2017). 2 ethics settings for autonomous vehicles. In Robot ethics 2.0: From autonomous cars to artificial intelligence (p. 2). Oxford: Oxford University Press.

    Google Scholar 

  39. Sparrow, R., & Howard, M. (2017). When human beings are like drunk robots: Driverless vehicles, ethics, and the future of transport. Transportation Research Part C: Emerging Technologies, 80, 206–215.

    Article  Google Scholar 

  40. Lin, P., Bekey, G., & Abney, K. (2008). Autonomous military robotics: Risk, ethics, and design. San Luis Obispo: California Polytechnic State Univ.

    Book  Google Scholar 

  41. Hashim, H. H., & Omar, M. Z. (2017). Towards autonomous vehicle implementation: Issues and opportunities. Journal of the Society of Automotive Engineers Malaysia, 1(2), 111–123.

    Google Scholar 

  42. Amini, M. H., Moghaddam, M. P., & Karabasoglu, O. (2017). Simultaneous allocation of electric vehicles’ parking lots and distributed renewable resources in smart power distribution networks. Sustainable Cities and Society, 28, 332–342.

    Article  Google Scholar 

  43. Sachan, S., Amini, M. H., & Adnan, N. (2018). Stochastic charging of electric vehicles in smart power distribution grids. In Sustainable cities and society. Berlin: Springer.

    Google Scholar 

  44. Amini, M. H., Boroojeni, K. G., Iyengar, S. S., Blaabjerg, F., Pardalos, P. M., & Madni, A. M. (2018). A panorama of future interdependent networks: from intelligent infrastructures to smart cities. In Sustainable interdependent networks (pp. 1–10). Berlin: Springer.

    Chapter  Google Scholar 

  45. Lin, P. (2016). Why ethics matters for autonomous cars. In Autonomous driving (pp. 69–85). Berlin: Springer.

    Google Scholar 

Download references

Acknowledgements

The researcher is eternally grateful to Yayasan Universiti Teknologi Petronas (YUTP) for awarding this research grant which is under the cost center: 0153AA-H31, and Management and Humanities Department of Universiti Teknologi PETRONAS (UTP) for the support to conduct the study.

Conflict of Interest: The author hereby declares the objectivity of the chapter, and that there is no conflict of interest whatsoever from the side of the author.

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Adnan, N., Nordin, S.M., Bahruddin, M.A.b. (2019). Sustainable Interdependent Networks from Smart Autonomous Vehicle to Intelligent Transportation Networks. In: Amini, M., Boroojeni, K., Iyengar, S., Pardalos, P., Blaabjerg, F., Madni, A. (eds) Sustainable Interdependent Networks II. Studies in Systems, Decision and Control, vol 186. Springer, Cham. https://doi.org/10.1007/978-3-319-98923-5_7

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-98923-5_7

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-98922-8

  • Online ISBN: 978-3-319-98923-5

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics