[HTML][HTML] Towards a semantic indoor trajectory model: application to museum visits
In this paper we present a new conceptual model of trajectories, which accounts for
semantic and indoor space information and supports the design and implementation of …
semantic and indoor space information and supports the design and implementation of …
Limitations of gravity models in predicting fine-scale spatial-temporal urban mobility networks
This study identifies the limitations and underlying characteristics of urban mobility networks
that influence the performance of the gravity model. The gravity model is a widely-used …
that influence the performance of the gravity model. The gravity model is a widely-used …
An indoor crowd movement trajectory benchmark dataset
In recent years, technologies of indoor crowd positioning and movement data analysis have
received widespread attention in the fields of reliability management, indoor navigation, and …
received widespread attention in the fields of reliability management, indoor navigation, and …
Generating a synthetic probabilistic daily activity-location schedule using large-scale, long-term and low-frequency smartphone GPS data with limited activity …
Household travel survey data is a critical input to travel behavior modeling, and it also can
be used to generate trip schedules for activity-based traffic simulation. With emerging …
be used to generate trip schedules for activity-based traffic simulation. With emerging …
Digital twin mobility profiling: A spatio-temporal graph learning approach
With the arrival of the big data era, mobility profiling has become a viable method of utilizing
enormous amounts of mobility data to create an intelligent transportation system. Mobility …
enormous amounts of mobility data to create an intelligent transportation system. Mobility …
An adaptive approach for modelling the movement uncertainty in trajectory data based on the concept of error ellipses
Modelling movement uncertainty is of profound significance in promoting effective trajectory
analysis and mining. However, classic uncertainty models are limited by rigid assumptions …
analysis and mining. However, classic uncertainty models are limited by rigid assumptions …
Trajectory anomaly detection based on similarity analysis
GF Quispe-Torres, G Garcia-Zanabria… - 2021 XLVII Latin …, 2021 - ieeexplore.ieee.org
Automatic trajectory processing has multiple applications, mainly due to the wide availability
of the data. Trajectory data have a significant practical value, making possible the modeling …
of the data. Trajectory data have a significant practical value, making possible the modeling …
Efficient emergency message DHC broadcasting in vehicular Ad Hoc networks
Jaipal, DM Nagar, V Baghela - Advances in Information Communication …, 2021 - Springer
Vehicular ad hoc networks have many access points for communication, transmission, and
collecting information of nodes and environment for organization traffic loads. In this paper …
collecting information of nodes and environment for organization traffic loads. In this paper …
[HTML][HTML] Evaluation of DOTD's Existing Queue Estimation Procedures
Louisiana Department of Transportation and Development (DOTD) requests that freeway
lanes should not be closed for construction work during hours when capacity exceeds 1,309 …
lanes should not be closed for construction work during hours when capacity exceeds 1,309 …
Event Detection and Event-Relevant Tweet Extraction with Human Mobility
N Takeda, D Kamisaka, R Legaspi, Y Mishima… - … Conference on Mobile …, 2021 - Springer
Event detection has been proved important in various applications, such as route selection
to avoid the congestion an event causes or deciding whether to join an event that one is …
to avoid the congestion an event causes or deciding whether to join an event that one is …