The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Autonomous vehicles: challenges, opportunities, and future implications for transportation policies
Open accessAbstract
This study investigates the challenges and opportunities pertaining to transportation policies that may arise as a result of emerging autonomous vehicle (AV) technologies. AV technologies can decrease the transportation cost and increase accessibility to low-income households and persons with mobility issues. This emerging technology also has far-reaching applications and implications beyond all current expectations. This paper provides a comprehensive review of the relevant literature and explores a broad spectrum of issues from safety to machine ethics. An indispensable part of a prospective AV development is communication over cars and infrastructure (connected vehicles). A major knowledge gap exists in AV technology with respect to routing behaviors. Connected-vehicle technology provides a great opportunity to implement an efficient and intelligent routing system. To this end, we propose a conceptual navigation model based on a fleet of AVs that are centrally dispatched over a network seeking system optimization. This study contributes to the literature on two fronts: (i) it attempts to shed light on future opportunities as well as possible hurdles associated with AV technology; and (ii) it conceptualizes a navigation model for the AV which leads to highly efficient traffic circulations.
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Cites
Preparing a nation for autonomous vehicles: opportunities, barriers and policy recommendations
Fagnant, D. J., & Kockelman, K. (2015) · Transportation Research Part A: Policy and Practice · doi:10.1016/j.tra.2015.04.003 · Cited by 3,214
Describing objects by their attributes
Farhadi, A., Endres, I., Hoiem, D., & Forsyth, D. (2009) · 2009 IEEE Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.2009.5206772 · Cited by 1,917
Chen, T. D., Kockelman, K. M., & Hanna, J. P. (2016) · Transportation Research Part A: Policy and Practice · doi:10.1016/j.tra.2016.08.020 · Cited by 529
A survey of public opinion about connected vehicles in the U.S., the U.K., and Australia
Schoettle, B., & Sivak, M. (2014) · 2014 International Conference on Connected Vehicles and Expo (ICCVE) · doi:10.1109/iccve.2014.7297637 · Cited by 400
Towards a viable autonomous driving research platform
Wei, J., Snider, J. M., Kim, J., Dolan, J. M., Rajkumar, R., & Litkouhi, B. (2013) · 2013 IEEE Intelligent Vehicles Symposium (IV) · doi:10.1109/ivs.2013.6629559 · Cited by 243
Cited by
Applications of artificial intelligence in transport: An overview
Abduljabbar, R., Dia, H., Liyanage, S., & Bagloee, S. A. (2019) · Sustainability · doi:10.3390/su11010189 · Cited by 769
Self-citationAutonomous Cars: Research Results, Issues, and Future Challenges
Hussain, R., & Zeadally, S. (2019) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2018.2869360 · Cited by 631
Taeihagh, A., & Lim, H. S. M. (2019) · Transport Reviews · doi:10.1080/01441647.2018.1494640 · Cited by 601
Schiff, D. (2022) · International Journal of Artificial Intelligence in Education · doi:10.1007/s40593-021-00270-2 · Cited by 489
“…and the public have become increasingly aware of issues related to labor displacement (Acemoglu and Restrepo 2019), autonomous vehicles (Bagloee et al. 2016), algorithmic bias (Caliskan et al. 2017), and privacy (Manheim and Kaplan 2018), amongst other issues (Mittelstadt et al. 2016).”
BackgroundA comprehensive review on hybrid electric vehicles: architectures and components
Singh, K. V., Bansal, H. O., & Singh, D. (2019) · Journal of Modern Transportation · doi:10.1007/s40534-019-0184-3 · Cited by 357
Metadata
- Authors
- Bagloee, S. A., Tavana, M., Asadi, M., & Oliver, T.
- Venue
- Journal of Modern Transportation
- Published
- 2016-08-29
- Volume
- 24
- Issue
- 4
- Pages
- 284-303
- ISSN
- 2095-087X (ISSN-L)
- 2196-0577
- OpenAlex
- W2512479688
- Cited by
- 825
- References
- 5
- FWCI
- 34.75
- Type
- journal article
- Language
- en
- Open access
- diamond
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.