In experiments, a rectangular building's design was optimised on a flat and urban dataset.
We validated the effectiveness of our approach by using experimental data from two publicly available dataset, the Malaga stereovision urban dataset (MSVUD) and the Daimler urban segmentation dataset (DUSD).
With this approach, this paper aims to comprehensively establish a relationship between mean speed, speed variation and traffic crashes for the purpose of formulating effective speed management measures, specifically using an urban dataset.
We tested our method with Borkar's dataset with video sequences containing different conditions and presented the results in Table 2. Our method provides similar results with existing methods, performing better for urban dataset which is more critical in terms of aggressiveness detection.
In recent years, two important types of urban mobility datasets — smart card transactions and taxi GPS trajectories — have been used extensively but often separately to quantify travel patterns as well as urban spatial structures.
We applied these equations to the urban forest datasets to calculate the overall habitat suitability for each city and the habitat suitability for different types of land-use (e.g., residential, commercial, parkland) for each bird species.
The CRUX (Comparing Rural and Urban Cancer Care) dataset, collected in 2000 and 2001, provides primary care data on people diagnosed in Northern Scotland with CRC between 1997 and 1998 (Robertson et al, 2004).
Meanwhile, different urban green space datasets are based on different definitions, data sources, sampling techniques, time periods and scales, which poses important challenges to urban green infrastructure planning, management and research.
In Tables 3, 4 and 5, performance results of our method with region of interest selection and comparison with the given method in [35] can be seen for dense, urban and sunny datasets, respectively.
In this context, ecosystem services potentially affected by urbanization represent an important unsolved issue, most probably for the general lack of reliable datasets for urban and peri-urban areas and for the scarce integration of the involved disciplines.
