Spatial context mining approach for transport mode recognition from mobile sensed big data

I Semanjski, S Gautama, R Ahas, F Witlox - Computers, Environment and …, 2017 - Elsevier
Abstract Knowledge about what transport mode people use is important information of any
mobility or travel behaviour research. With ubiquitous presence of smartphones, and its …

Integrating big data into a sustainable mobility policy 2.0 planning support system

I Semanjski, R Bellens, S Gautama, F Witlox - Sustainability, 2016 - mdpi.com
It is estimated that each of us, on a daily basis, produces a bit more than 1 GB of digital
content through our mobile phone and social networks activities, bank card payments …

Smart cities: A review of the most recent literature

MC Hoffman - Informatization Policy, 2020 - papersearch.net
Interest in smart cities is growing; information and communication technology, urban
planning, urban economy development, health, and many other areas are intertwined within …

Assessment of smartphone positioning data quality in the scope of citizen science contributions

AJ Lopez, I Semanjski, S Gautama… - Mobile Information …, 2017 - Wiley Online Library
Human travel behaviour has been addressed in many transport studies, where travel survey
methods have been widely used to collect self‐reported insights of daily mobility patterns …

Smart Cities in Focus: A Bicycle Transport Applications Analysis

L Silva, M Calazans, L Vasconcelos… - … Cooperative Work in …, 2023 - ieeexplore.ieee.org
Urban population growth creates problems such as congestion and resource scarcity. These
problems contribute to poor quality of life and negative environmental impacts. In this …

Forecasting transport mode use with support vector machines based approach

I Semanjski, A Lopez, S Gautama - Transactions on maritime science, 2016 - hrcak.srce.hr
Sažetak Since information and communication technologies have become an integral part of
our everyday lives, it only seems logical that the smart city concept should attempt to explore …

Tracking Everyone and Everything in Smart Cities with an ANN Driven Smart Antenna

H Kunsei, PRP Hoole, K Pirapaharan… - … Learning Techniques for …, 2022 - Springer
Smart cities require the application of human brain-like intelligence systems for sensing,
monitoring, decision making and action. In this chapter this scenario is addressed in a two …

Forecasting travel behaviour from crowdsourced data with machine learning based model

AJ Lopez, I Semanjski, S Gautama - Fifth International Conference …, 2016 - biblio.ugent.be
Information and communication technologies have become integral part of our everyday
lives. It seems as logical consequence that smart city concept is trying to explore the role of …

Tracking Everyone and Everything in Smart Cities with an ANN Driven Smart Antenna

K Herman, PRP Hoole, K Pirapaharan, SRH Hoole - 2022 - repo.lib.jfn.ac.lk
Smart cities require the application of human brain-like intelligence systems for sensing,
monitoring, decision making and action. In this chapter this scenario is addressed in a two …

[PDF][PDF] Big data-driven multimodal traffic management: trends and challenges

I Semanjski, S Gautama - Data analytics 2018 The Seventh …, 2018 - biblio.ugent.be
The Seventh International Conference on Data Analytics (DATA ANALYTICS 2018), held
between November 18, 2018 and November 22, 2018 in Athens, Greece, continued the …