Big Data analytics: A comparison of tools and applications

I El Alaoui, Y Gahi, R Messoussi, A Todoskoff… - Innovations in Smart …, 2018 - Springer
With an ever-increasing amount of both data volume and variety, traditional data processing
tools became unsuitable for the big data context. This has pushed toward the creation of …

Gtfs2vec: Learning GTFS Embeddings for Comparing Public Transport Offer in Microregions

P Gramacki, S Woźniak, P Szymański - Proceedings of the 1st ACM …, 2021 - dl.acm.org
We selected 48 European cities and gathered their public transport timetables in the GTFS
format. We utilized Uber's H3 spatial index to divide each city into hexagonal micro-regions …

GTFS-VIZ: Tool for preprocessing and visualizing GTFS data

N Kunama, M Worapan, S Phithakkitnukoon… - Proceedings of the …, 2017 - dl.acm.org
This paper presents a tool called GTFS-Viz for preprocessing and visualizing General
Transit Feed Specification (GTFS) data. GTFS data is a common format for the public …

Exploiting multi-modal contextual sensing for city-bus's stay location characterization: Towards sub-60 seconds accurate arrival time prediction

R Mandal, P Karmakar, S Chatterjee… - ACM Transactions on …, 2023 - dl.acm.org
Intelligent city transportation systems are one of the core infrastructures of a smart city. The
true ingenuity of such an infrastructure lies in providing the commuters with real-time …

Analyse der ÖPNV-Versorgung mittels offener Fahrplandaten–Potenziale, Herausforderungen und Lösungsansätze

SK Sikder, N Ehrig, H Herold, G Meinel - 2020 - slub.qucosa.de
Abstract (DE) Auf der Basis öffentlich und frei verfügbarer Fahrplandaten stellt dieser Beitrag
ein Konzept für einen kleinräumigen Indikator (1 km²-Raster) zur ÖPNV-Versorgung vor …

[PDF][PDF] Transit Corridor Study

Z Aemmer, B Arabkhedri, D MacKenzie, A Ranjbari - 2021 - urbanfreightlab.com
Population and extended economic growth in many Seattle neighborhoods are driving
increased demand for private car travel along with transportation services such as …

Unsupervised embedding and similarity detection of microregions using public transport schedules

P Gramacki - arXiv preprint arXiv:2111.02405, 2021 - arxiv.org
The role of spatial data in tackling city-related tasks has been growing in recent years. To
use them in machine learning models, it is often necessary to transform them into a vector …

Streaming detection of significant delay changes in public transport systems

P Wrona, M Grzenda, M Luckner - International Conference on …, 2022 - Springer
Public transport systems are expected to reduce pollution and contribute to sustainable
development. However, disruptions in public transport such as delays may negatively affect …

Predicting MRT trips in Singapore by creating a mobility behavior model based on GSM data

E Aksehirli, Y Li - 2018 IEEE International Conference on Data …, 2018 - ieeexplore.ieee.org
Singapore has a significantly high coverage of both public transportation and
communication network. Island-wide Mass Rapid Transport (MRT) system is the backbone …

[PDF][PDF] Streaming detection of significant delay changes in public transport systems

M Luckner - iccs-meeting.org
Public transport systems are expected to reduce pollution and contribute to sustainable
development. However, disruptions in public transport such as delays may negatively affect …