Autonomous Vehicles: A Critical Tool to Solve the XXI Century Urban Transportation Grand Challenge
Abstract
One of the 14th Grand Challenges that the United States National Academy of Engineering (NAE) has identified for the XXI century is improving urban infrastructure. According to NAE, the greatest challenge will be the integration of the different modes of transportation as a whole system, especially in large metropolitan areas. In the last decade, new technologies based on autonomous vehicles and information technology systems have made significant key breakthroughs in this field. The combination of high-performance driverless cars with intelligent information systems could produce a powerful tool to reach new levels of optimization in urban transportation. This paper presents a holistic approach to solving public and private transportation challenges by using unmanned cars and intelligent information systems. The paper also addresses the urban transportation challenge and the technologies available today, describes the multifaceted approach, and identifies the advantages of its application. In a nutshell, this paper provides a systematic approach that XXI century engineers could use to create more eco-friendly, safe, and sustainable transportation environments.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Combined in this fashion, trains plus autonomous vehicles could offer a 'door to door' public transport service, overcoming the 'last mile' problem that currently bedevils public transport systems.
“Combined in this fashion, trains plus autonomous vehicles could offer a 'door to door' public transport service, overcoming the 'last mile' problem that currently bedevils public transport systems (Ferreras, 2013, p. 410; Mitchell, 2007).”
From When human beings are like drunk robots: Driverless vehicles, ethics, and the future of transport (2017) · cites this paper as Ferreras, 2013
The actions of other driverless vehicles will almost certainly be predictable and their intentions transparent to driverless vehicles.
“In comparison, the actions of other driverless vehicles will almost certainly be predictable and their intentions transparent to driverless vehicles”
From When human beings are like drunk robots: Driverless vehicles, ethics, and the future of transport (2017) · cites this paper as Ferreras, 2013
Driverless vehicles will most likely be in constant communication with each other to share information about traffic conditions and coordinate their use of the roads.
“which will most likely be in constant communication with each other in order to share information about traffic conditions and coordinate their use of the roads”
From When human beings are like drunk robots: Driverless vehicles, ethics, and the future of transport (2017) · cites this paper as Ferreras, 2013
Cited by
Sorted by citations
When human beings are like drunk robots: Driverless vehicles, ethics, and the future of transport
Sparrow, R., & Howard, M. (2017) · Transportation Research Part C: Emerging Technologies · doi:10.1016/j.trc.2017.04.014 · Cited by 182 · see citing works
Orieno, O. H., Ndubuisi, N. L., Ilojianya, V. I., Biu, P. W., & Odonkor, B. (2024) · Engineering Science & Technology Journal · doi:10.51594/estj.v5i1.721 · Cited by 75 · see citing works
- Authors
- Ferreras, L. E.
- Affiliations
- Parsons Transportation Group, 100 M St SE, Suite 1200 Washington DC, 20003-3515
- Corresponding author
- Ferreras, Luis E.
- Venue
- Urban Public Transportation Systems 2013
- Publisher
- American Society of Civil Engineers
- Published
- 2013-10-09
- Pages
- 405-412
- OpenAlex
- W2032737033
- Cited by
- 5
- References
- 0
- Citations by year
- 2024: 1 · 2020: 2 · 2017: 1 · 2015: 1
- FWCI
- 0.43
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- International Conference on Urban Public Transportation Systems (publishedVersion)
- Topics
- Physical Sciences › Engineering › Automotive Engineering › Transportation and Mobility Innovations
- Physical Sciences › Engineering › Control and Systems Engineering › Traffic control and management
- Physical Sciences › Engineering › Civil and Structural Engineering › Transportation Systems and Logistics
- Keywords
- autonomous vehicles, urban transport, societal challenges, multimodal transportation integration, intelligent transportation systems, sustainable transport, transport safety, eco-friendly transportation, metropolitan areas
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
