A survey on trajectory data management, analytics, and learning

S Wang, Z Bao, JS Culpepper, G Cong - ACM Computing Surveys …, 2021 - dl.acm.org
Recent advances in sensor and mobile devices have enabled an unprecedented increase
in the availability and collection of urban trajectory data, thus increasing the demand for …

[HTML][HTML] 4IR Applications in the Transport Industry: Systematic Review of the State of the Art with Respect to Data Collection and Processing Mechanisms

OO Ajayi, AM Kurien, K Djouani, L Dieng - Sustainability, 2024 - mdpi.com
Transportation systems through the ages have seen drastic evolutions in terms of
transportation methods, speed of transport, infrastructure, technology, connectivity, influence …

Privacy and Trust in the Internet of Vehicles

E Zavvos, EH Gerding, V Yazdanpanah… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
The Internet of Vehicles aims to fundamentally improve transportation by connecting
vehicles, drivers, passengers, and service providers together. Several new services such as …

Exploring individual travel patterns across private car trajectory data

Y Huang, Z Xiao, D Wang, H Jiang… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Understanding the travel behavior of private cars will generate promising solutions on
addressing urban problems such as alleviating traffic congestion and improving transport …

A deep convolutional neural network based approach for vehicle classification using large-scale GPS trajectory data

S Dabiri, N Marković, K Heaslip, CK Reddy - Transportation Research Part …, 2020 - Elsevier
Transportation agencies are starting to leverage increasingly-available GPS trajectory data
to support their analyses and decision making. While this type of mobility data adds …

Estimating historical hourly traffic volumes via machine learning and vehicle probe data: A Maryland case study

P Sekuła, N Marković, Z Vander Laan… - … Research Part C …, 2018 - Elsevier
This paper focuses on the problem of estimating historical traffic volumes between sparsely-
located traffic sensors, which transportation agencies need to accurately compute statewide …

[PDF][PDF] Authentication of Vehicles and Road Side Units in Intelligent Transportation System.

M Waqas, S Tu, SU Rehman, Z Halim… - … , Materials & Continua, 2020 - drive.google.com
Security threats to smart and autonomous vehicles cause potential consequences such as
traffic accidents, economically damaging traffic jams, hijacking, motivating to wrong routes …

Using big GPS trajectory data analytics for vehicle miles traveled estimation

J Fan, C Fu, K Stewart, L Zhang - Transportation research part C: emerging …, 2019 - Elsevier
As location-sensing devices and apps become more prevalent, the scale and availability of
big GPS trajectory data are also rapidly expanding. Big GPS trajectory data analytics offers …

Understanding urban area attractiveness based on private car trajectory data using a deep learning approach

Z Xiao, H Fang, H Jiang, J Bai… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
With the fast development of urbanization and motorization, an increasing number of people
choose to buy private cars to fulfill their daily travel needs. In particular, many people from …

A natural-language-based visual query approach of uncertain human trajectories

Z Huang, Y Zhao, W Chen, S Gao, K Yu… - … on Visualization and …, 2019 - ieeexplore.ieee.org
Visual querying is essential for interactively exploring massive trajectory data. However, the
data uncertainty imposes profound challenges to fulfill advanced analytics requirements. On …