Dashboards are information management tools that are used to track the performances and other key data points relevant to a business, department processes. Through the applications of data visualizations, dashboards ease complex traffic data to provide road users with a glance awareness of current performance.
The use of dashboards to collect, analyze and display data in numerous ways in cities
City dashboards have drawn accumulative interest from both city workers and inhabitants. Dashboards have the capability of gathering, visualizing, analyzing and informing the local performance to support the viable growth of smart metropolises. Dashboards, therefore, provide expedient implements for assessing and enabling urban setup constituents and services. Dashboards provide a goal view of performance metrics and serve as an effective foundation for further dialogue. Moreover, the business aptitude tool is used to show data imaginings in a manner that if easily and closely understood.
The use of dashboards in measuring and monitoring
Geospatial dashboards offer fine grained measurements by providing views and factors driving the metrics. Dozens of cameras measure the nature of traffic that is moving in any given place in the city. The dashboard system provides an overview of the nature of commercial transport that is active in any given sector (Kitchin and McArdle, 119). The dashboard also provides the impact of transportation on air quality. Moreover, the dashboard provides the managers with an overview of how to keep the city clean and livable.
The use of data visualizations
Data visualization takes facts and converts them to visual context. Data visualizations convert data and make the information comprehensible for the human to detect outlines, movements, and outliers in clusters of data. Therefore, data visualization is important for maintaining and managing traffic from a central place. Data visualizations help in addressing the multivariate nature of spatiotemporal urban mobility data (Hui, 137). Furthermore, data visualization supports the analytical tasks of domain experts in the transport industry.
The kind of data used in visualizations is spatiotemporal data. This kind of data helps traffic managers to have a global understanding of urban traffic status in the level of a reading system. Spatiotemporal data, therefore, is useful in traffic regulation and route management.
Role of open data
Open data helps create smart cities through the provision of sustainable and efficient growth. The openness and availability of data create transparency to the administrations thus allowing greater creativity by the stakeholders to seek and develop traffic solutions.
Political and commercial agendas in artificial intelligence sites.
Artificial intelligence has been used by the government to access its transport and mobility services. Administrations have been adopting both the legislative and non-legislative initiatives in the field of AI. AI is potential purpose expertise which provides tremendous opportunities in the transportation industries and other fields. concisely, AI has substantial risks such as labor displacement, strategic instability as well as sacrificing safety and other transport values to the technology (Leszczynski 1703).
Hui, Eric G. “Data Visualizations.” Learn R for Applied Statistics, 2018, pp. 129-172.
Kitchin, Rob, and Gavin McArdle. “Urban data and city dashboards.” Data and the City, 2017, pp. 111-126.
Leszczynski, A. “Speculative futures: Cities, data, and governance beyond smart urbanism.” Environment and Planning A: Economy and Space, vol. 48, no. 9, 2016, pp. 1691-1708, doi:10.1177/0308518×16651445.