Floating Car Data and Fuzzy Logic for classifying congestion indexes in the city of Shanghai

Kalinic, Maja; Krisp, Jukka M.

doi:10.5194/ica-proc-2-57-2019

Cited by 2 publications

(2 citation statements)

References 6 publications

(3 reference statements)

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“…The algorithm of this tool fits a smoothly curved surface over each point, with the surface value being highest at the point location and decreasing as the distance from the point increases, eventually reaching zero at the search radius (bandwidth) [49]. This approach is particularly effective in identifying hotspots because it makes a series of density estimates over a grid that covers the entire point pattern [50]. By applying KDE to our bear encounter data, we were able to identify areas of high bear activity visually and quantitatively, which are crucial for understanding spatial patterns and informing conservation efforts.…”

Section: Hotspot Analysismentioning

confidence: 99%

Applying a Random Encounter Model to Estimate the Asiatic Black Bear (Ursus thibetanus) Density from Camera Traps in the Hindu Raj Mountains, Pakistan

Ahmad,

Mori,

Rehan

et al. 2024

Biology

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Estimating the population density of vulnerable species, such as the elusive and nocturnal Asiatic black bear (Ursus thibetanus), is essential for wildlife conservation and management. We used camera traps and a Random Encounter Model (REM) to estimate the population density of U. thibetanus during the autumn and winter seasons in the Hindu Raj Mountains. We installed 23 camera traps from October to December 2020 and acquired 66 independent pictures of Asiatic black bears over 428 nights of capture. Our results showed that the bears preferred lowland areas with the presence of Quercus spp. We estimated, using the REM, a population density of U. thibetanus of 1.875 (standard error = 0.185) per square kilometer, which is significantly higher than that in other habitats. Our results showed that during autumn and winter, the bear population density tends to concentrate at lower elevations. Forest cover showed a positive correlation with the rates of bear encounters unlike the Euclidean distance to human settlements, altitude, and aspect variables. The approaches used here are cost-effective for estimating the population density of rare and vulnerable species such as U. thibetanus, and can be used to estimate their population density in Pakistan. Population density estimation can identify areas where the bears live and human–bear conflicts occurred and use this information in future wildlife management plans.

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Section: Hotspot Analysismentioning

confidence: 99%

Applying a Random Encounter Model to Estimate the Asiatic Black Bear (Ursus thibetanus) Density from Camera Traps in the Hindu Raj Mountains, Pakistan

Ahmad,

Mori,

Rehan

et al. 2024

Biology

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show abstract

“…Traditional methods for measuring congestion such as loop detectors are important tools for road segment monitoring and for traffic signal control. However their coverage is limited to the locations where they are placed, thus, these are not ideal tools for tracking congestion with a highly granular temporospatial coverage [2]. Measuring congestion at the personal trip level requires other types of tools, such as probe vehicles or taxis.…”

Section: Introductionmentioning

confidence: 99%

A weighted travel time index based on data from Uber Movement

Vieira

Haddad

2020

EPJ Data Sci.

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In this paper, we combine data from Uber Movement and from a representative household travel survey to constructs a weighted travel time index for the Metropolitan Region of São Paulo. The index is calculated based on the average travel time of Uber trips taken between each pair of traffic zone and in each hour between January 1st, 2016 to December 31, 2018. The index is weighted based on trips reported in a household travel survey that was designed to be statistically representative of all trips made in the city during a typical business day. We show that the index has a strong correlation with traditional measures of congestion, however, with a broader coverage of the road network. Finally, we use the index to run a multivariate ex-post analysis that estimates the effect of different events on traffic congestion in the city, including holidays, public transit strikes, road shutdowns, rain and major sport events.

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Floating Car Data and Fuzzy Logic for classifying congestion indexes in the city of Shanghai

Cited by 2 publications

References 6 publications

Applying a Random Encounter Model to Estimate the Asiatic Black Bear (Ursus thibetanus) Density from Camera Traps in the Hindu Raj Mountains, Pakistan

Applying a Random Encounter Model to Estimate the Asiatic Black Bear (Ursus thibetanus) Density from Camera Traps in the Hindu Raj Mountains, Pakistan

A weighted travel time index based on data from Uber Movement

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