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[HTML][HTML] Decision support for improved construction traffic management and planning
Densifying cities continuously call for new construction, renovation and demolition projects,
each generating vast amounts of heavy goods vehicle (HGV) transports. However, how …
each generating vast amounts of heavy goods vehicle (HGV) transports. However, how …
Assessing veracity of big data: An in-depth evaluation process from the comparison of Mobile phone traces and groundtruth data in traffic monitoring
A Nalin, V Vignali, C Lantieri, D Cappellari… - Journal of Transport …, 2024 - Elsevier
Veracity is a critical dimension of Big Data, as it is related to the quality of data. Its role is
even more important when Big Data are supposed to be a counterpart or a substitute of …
even more important when Big Data are supposed to be a counterpart or a substitute of …
An investigation into the impact of the built environment on the travel mobility gap using mobile phone data
Y Pan, SY He - Journal of Transport Geography, 2023 - Elsevier
The travel mobility gap is among the indicators that can be used to evaluate the level of
social and transport inequity. To achieve a large and representative sample for this …
social and transport inequity. To achieve a large and representative sample for this …
Carbon emission characteristics of urban trip based on multi-layer network modeling
W Hong, T Ma, R Guo, X Yang, X Li, M Sun, Y Chen… - Applied …, 2023 - Elsevier
Multi-layer networks could reveal the carbon emission structure of urban traffic formed after
residents choose the means and purpose of trips. In this paper, a multi-layer network model …
residents choose the means and purpose of trips. In this paper, a multi-layer network model …
A framework of travel mode identification fusing deep learning and map-matching algorithm
Z Jiang, A Huang, G Qi, W Guan - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The ubiquity of mobile phone signaling data (MPSD) allows us to study travel mode
identification (TMI) of a larger scale of population in cities than GPS data and travel survey …
identification (TMI) of a larger scale of population in cities than GPS data and travel survey …
Travel mode classification of intercity trips using cellular network data
Many applications in transport planning require an understanding of travel patterns
separated by travel mode. To use cellular network data as observations of human mobility in …
separated by travel mode. To use cellular network data as observations of human mobility in …
Impacts of weather-related road closures on daily habitual travel in North Carolina
Weather-related road closures have the potential to cause serious impacts to society by
disrupting road network function. Impacts to the population are variable based on the …
disrupting road network function. Impacts to the population are variable based on the …
Using mobile phone data to capture residential segregation and its association with travel mobility
Y Pan, SY He - Population, Space and Place, 2024 - Wiley Online Library
This study measures residential segregation and investigates its association with travel
mobility by using mobile phone data from Shenzhen, China. It considers residential …
mobility by using mobile phone data from Shenzhen, China. It considers residential …
The effect of toll road operation on national road performance in Central Java province
WT Hermani, A Setyawan - Journal of Applied Engineering …, 2023 - aseestant.ceon.rs
One of the major infrastructure development programs of the Indonesian government is the
construction of toll roads, such as the Trans-Central Java toll road. The construction of these …
construction of toll roads, such as the Trans-Central Java toll road. The construction of these …
Semi-supervised mode classification of inter-city trips from cellular network data
Good knowledge of travel patterns is essential in transportation planning. Cellular network
data as a large-scale passive data source provides billions of daily location updates …
data as a large-scale passive data source provides billions of daily location updates …