Improving Vehicular Mobility in Urban Traffic Using Ubiquitous Computing
Open accessAbstract
The paper introduces a novel paradigm to use ubiquitous computing in urban traffic control as a methodology to include the benefits of considering physical elements implicated in the environment. This promising idea arises from previous results in the literature, where ubiquitous computing achieves significant and promising results in diverse scenarios. Some works in the state-of- the-art clearly state that traditional traffic light signals are not capable of offering higher service levels when they should control the vehicular mobility because of different constraints. In this sense, the paper proposes an adaptation of the main ideas of ubiquitous computing as a metaphor to facilitate the interaction between users and traffic infrastructures in order to improve the users’ experience on the road.
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While some challenges pertaining to urbanisation are already being addressed through the development of smart technologies, many of the proposed smart solutions are not aligned with sustainability targets, thereby leading to the emergence of sustainable smart cities.
“In relation to this, while some of the challenges pertaining to urbanisation are already being addressed through the development of smart technologies [29,40,133], many of the proposed smart solutions in this regard are not aligned with sustainability targets, thereby the emergence of sustainable smart cities [2,20].”
From On the sustainability of smart and smarter cities in the era of big data: an interdisciplinary and transdisciplinary literature review (2019) · cites this paper as [29]
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Bibri, S. E. (2019) · Journal of Big Data · doi:10.1186/s40537-019-0182-7 · Cited by 278 · see citing works
- Authors
- Castán, J. A., Martínez, S. I., Menchaca, J. L., Berrones, M. G. T., Cobos, J. P., & Rocha, E. C.
- Affiliations
- Autonomous University of Tamaulipas (MX)
- Instituto Tecnológico de Ciudad Madero (MX)
- Venue
- Journal of Computer and Communications
- Publisher
- Scientific Research Publishing, Inc.
- Published
- 2016
- Volume
- 04
- Issue
- 10
- Pages
- 57-62
- ISSN
- 2327-5219 (ISSN-L)
- 2327-5227
- OpenAlex
- W2518028653
- Cited by
- 6
- References
- 17
- Citations by year
- 2023: 1 · 2022: 1 · 2020: 1 · 2019: 2 · 2018: 1
- FWCI
- 0.84
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Locations
- Journal of Computer and Communications (publishedVersion, cc-by)
- Topics
- Physical Sciences › Engineering › Control and Systems Engineering › Traffic control and management
- Physical Sciences › Engineering › Building and Construction › Traffic Prediction and Management Techniques
- Social Sciences › Transportation › Transportation Planning and Optimization
- Keywords
- ubiquitous computing, vehicle mobility, urban traffic control, intelligent transportation systems
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