Potential routes extraction for urban customized bus based on vehicle trajectory clustering

D Ma, B Fang, W Ma, X Wu, S Jin - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Customized bus (CB) is a kind of demand-responsive and one-stop transit service for
commuters with similar travel demands. In actual applications, the bus companies identify …

Trajectory dimensionality reduction and hyperparameter settings of DBSCAN for trajectory clustering

X Yu, W Long, Y Li, L Gao, X Shi - IET Intelligent Transport …, 2022 - Wiley Online Library
The density‐based spatial clustering of application with noise (DBSCAN) algorithm has
good robustness and is widely employed to cluster vehicle trajectories for vehicle movement …

[HTML][HTML] Behavior pattern mining based on spatiotemporal trajectory multidimensional information fusion

Q Jiang, LIU Yu, D Ziran, SUN Shun - Chinese Journal of Aeronautics, 2023 - Elsevier
Trajectory data mining is widely used in military and civil applications, such as early warning
and surveillance system, intelligent traffic system and so on. Through trajectory similarity …

Proposal for a pivot-based vehicle trajectory clustering method

G Reyes, L Lanzarini, W Hasperué… - Transportation …, 2022 - journals.sagepub.com
Given the large volume of georeferenced information generated and stored by many types of
devices, the study and improvement of techniques capable of operating with these data is an …

Dynamic grouping of vehicle trajectories

G Reyes, L Lanzarini, C Estrebou… - Journal of Computer …, 2022 - econstor.eu
Vehicular traffic volume in large cities has increased in recent years, causing mobility
problems; therefore, the analysis of vehicle flow data becomes a relevant research topic …

Enabling internet of things in road traffic forecasting with deep learning models

BP Kumar, K Hariharan, R Shanmugam… - Journal of Intelligent …, 2022 - content.iospress.com
Integration of the latest technological advancements such as Internet of Things (IoT) and
Computational Intelligence (CI) techniques is an active research area for various industrial …

Unsupervised Learning for Topological Classification of Transportation Networks

S Sabzekar, MRV Malakshah, Z Amini - arXiv preprint arXiv:2311.13887, 2023 - arxiv.org
With increasing urbanization, transportation plays an increasingly critical role in city
development. The number of studies on modeling, optimization, simulation, and data …

Vehicular flow analysis using clusters

G Reyes, LC Lanzarini, CA Estrebou… - … , 4 al 8 de octubre de …, 2021 - sedici.unlp.edu.ar
The volume of vehicular traffic in large cities has increased in recent years, causing mobility
problems, which is why the analysis of vehicular flow data becomes important for …

Evaluation of a Grid for the Identification of Traffic Congestion Patterns

G Reyes, L Lanzarini, C Estrebou, A Bariviera… - … on Technologies and …, 2023 - Springer
Today, urban growth, increased vehicular traffic and congestion have become a key
challenge in cities. As a consequence, negative effects on mobility are generated, such as …

Data Stream Processing Method for Clustering of Trajectories

G Reyes, L Lanzarini, C Estrebou… - … on Technologies and …, 2022 - Springer
The constant advances in techniques for recording and collecting GPS trajectory
information, the increase in the number of devices that collect this type of information such …