Enabling Smart City Provenance-Based Applications to Improve Urban Mobility in Brazilian Cities

Cruz, Sérgio Manuel Serra da; Costa, Raimundo José Macário

doi:10.1016/b978-0-12-814242-4.00017-x

Cited by 2 publications

(2 citation statements)

References 14 publications

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“…Mobility is the core component of a smart city because transportation provides vast amounts of citizen and vehicle data. Authorities are proposing mobility plans with a shift towards sustainable transport models, and urban transport is embracing the sharing economy via public and private initiatives [71]. The challenge is militating against sustainable urban mobility, which is a source of concern for urban planners and policymakers because it is multidimensional, covering environmental performance, energy efficiency, the monitoring of behaviour and mobility, and the influencing of economic development [72][73][74].…”

Section: Urban Mobilitymentioning

confidence: 99%

Urban Computing for Sustainable Smart Cities: Recent Advances, Taxonomy, and Open Research Challenges

et al. 2023

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The recent proliferation of ubiquitous computing technologies has led to the emergence of urban computing that aims to provide intelligent services to inhabitants of smart cities. Urban computing deals with enormous amounts of data collected from sensors and other sources in a smart city. In this article, we investigated and highlighted the role of urban computing in sustainable smart cities. In addition, a taxonomy was conceived that categorized the existing studies based on urban data, approaches, applications, enabling technologies, and implications. In this context, recent developments were elucidated. To cope with the engendered challenges of smart cities, we outlined some crucial use cases of urban computing. Furthermore, prominent use cases of urban computing in sustainable smart cities (e.g., planning in smart cities, the environment in smart cities, energy consumption in smart cities, transportation in smart cities, government policy in smart cities, and business processes in smart cities) for smart urbanization were also elaborated. Finally, several research challenges (such as cognitive cybersecurity, air quality, the data sparsity problem, data movement, 5G technologies, scaling via the analysis and harvesting of energy, and knowledge versus privacy) and their possible solutions in a new perspective were discussed explicitly.

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Section: Urban Mobilitymentioning

confidence: 99%

Urban Computing for Sustainable Smart Cities: Recent Advances, Taxonomy, and Open Research Challenges

et al. 2023

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“…The vehicles of a city have become an important source of information [17] and a means to transport data [18]. The use of Open Government Data and public bus transportation data from citizens smartphones to improve urban mobility in [19]. A mobility monitoring system designed to track people and vehicles employed for traffic forecasting and the optimization of traffic flows in [20].…”

Section: Literature Reviewmentioning

confidence: 99%

Method for Selecting the Vehicles That Can Enter a Street Network to Maintain the Speed on Links above a Speed Threshold

et al. 2023

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The introduced method is a proposal for detecting spaces (links) and times (90 s periods) where the average speed is below the desirable, and for selecting vehicles in those spaces and times so that vehicles are systematically and gradually reduced from one simulation to another until we get a simulation presenting the desirable average speed in all space and time. With our method can be detected the specific vehicles that can enter a street network so that the average speed on the network’ links be always greater than a speed threshold. The speed on a segment is calculated from two perspectives: (1) the general speed (vg), calculated with measurements and estimates, used to estimate the links’ travel times for selecting the vehicles routes, (2) the particular speed (vp), calculated without estimates and for segments with traffic light only with measurements performed during an interval of the green time, used to identify links and periods of unacceptable (low) speed. We test our method with different origin-destination (OD) tables, for each OD table we obtain the number of vehicles that can enter the network in 1 h so all links and periods present acceptable speed. Another result was, for each link, the change of the average (and of the standard deviation) of VG (the vector containing the vg of each period) between the final (after our method) and initial (the traffic conditions without our method) simulations, therefore the percentages of the links presenting a convenient change were evidenced. We did the same with VP (the vp of each period).

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Enabling Smart City Provenance-Based Applications to Improve Urban Mobility in Brazilian Cities

Cited by 2 publications

References 14 publications

Urban Computing for Sustainable Smart Cities: Recent Advances, Taxonomy, and Open Research Challenges

Urban Computing for Sustainable Smart Cities: Recent Advances, Taxonomy, and Open Research Challenges

Method for Selecting the Vehicles That Can Enter a Street Network to Maintain the Speed on Links above a Speed Threshold

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