Introduction to the special issue on online learning for big-data driven transportation and mobility

J Del Ser, JJ Sanchez-Medina… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
In the last years, the arrival and progressively gained maturity of technological paradigms
such as Connected Vehicles, the Internet of Things, Sensor Networks, Urban Computing …

Aggregating and managing big realtime data in the cloud-application to intelligent transport for smart cities

G Kemp, G Vargas-Solar, CF Da Silva… - Proceedings of the 1st …, 2015 - hal.science
The increasing power of computer hardware and the sophistication of computer software
have brought many new possibilities to information world. On one side the possibility to …

Non-divergent traffic management scheme using classification learning for smart transportation systems

S Manimurugan, S Almutairi - Computers and Electrical Engineering, 2023 - Elsevier
Smart transportation is an autonomous arrangement that embodies technologically enabled
intelligent vehicles and traffic systems to assist diverse real-time roadside applications and …

[HTML][HTML] Discovering stop and parking behaviors of last mile delivery vehicles for urban areas based on not well conditioned GPS traces, expert knowledge and …

M Galende-Hernández, GI Sainz-Palmero… - Expert Systems with …, 2024 - Elsevier
Nowadays urban traffic is one of the most serious challenges for local authorities around the
world. This challenge implies issues regarding health, energy, safety, environment and …

ADCS: An adaptive data collection scheme in vehicular networks using 3G/LTE

W Drira, D Puthal, F Filali - 2014 International Conference on …, 2014 - ieeexplore.ieee.org
Vehicular Ad-hoc Networks (VANETs) are special kind of Mobile Ad-hoc Networks
(MANETs). The distinctive characteristics of the VANETs include high speed of vehicular …

[HTML][HTML] Demand-Responsive Transport for Urban Mobility: Integrating Mobile Data Analytics to Enhance Public Transportation Systems

S Melo, R Gomes, R Abbasi, A Arantes - Sustainability, 2024 - mdpi.com
Transport-on-demand services, such as demand-responsive transport (DRT), involve a
flexible transportation service that offers convenient and personalised mobility choices for …

[图书][B] Big Data Analytics for Smart Transport and Healthcare Systems

SP Ardakani, A Cheshmehzangi - 2023 - Springer
In the information age, big data has become an important tool for us to understand and
improve the world, especially in urban planning and design (Pourroostaei Ardakani and …

[PDF][PDF] Big data processing and mining for the future ICT-based smart transportation management system

J Fiosina, M Fiosins, J Müller - Jurnal Teknologi, 2013 - winf.in.tu-clausthal.de
Future Internet (FI) technologies can considerably enhance the effectiveness and user
friendliness of present smart transportation management systems (STMS), providing …

Traffic analysis in a smart city

C Bachechi, L Po - IEEE/WIC/ACM International Conference on Web …, 2019 - dl.acm.org
Urbanization is accelerating at a high pace. This places new and critical issues on the
transition towards smarter, efficient, livable as well as economically, socially and …

Real-time traffic counter using mobile devices

PSA Sooraj, V Kollerathu, V Sudhakaran - Journal of big data analytics in …, 2021 - Springer
Automatic traffic counting and classification (ATCC) is a salient step in many applications
such as accessing the contribution of traffic to air pollution for clean air strategies and …