[图书][B] Sensing human activity for smart cities' mobility management

I Semanjski, S Gautama - 2016 - books.google.com
Abstract Knowledge about human mobility patterns is the key element towards efficient
mobility management. Traditionally, these data are collected by paper/phone household …

[PDF][PDF] Combining physical and participatory sensing in urban mobility networks

XF Xie, ZJ Wang - Workshop on Big Data and Urban Informatics …, 2014 - academia.edu
It is very important to understand human mobility and activity patterns in urban
environments. In smart traffic control systems, abundant traffic flow data could be collected …

From location tracking to personalized eco-feedback: A framework for geographic information collection, processing and visualization to promote sustainable mobility …

D Bucher, F Mangili, F Cellina, C Bonesana… - Travel behaviour and …, 2019 - Elsevier
Nowadays, most people carry around a powerful smartphone which is well suited to
constantly monitor the location and sometimes even the activity of its user. This makes …

Big data collection using smartphone based surveys and open APIs: the future mobility sensing for London

M Kamargianni, M Matyas, S Raman… - … on Emerging and …, 2016 - discovery.ucl.ac.uk
Availability of rich and high quality data is a key driver in every sector. Transportation is no
exception, where the way data is created, collected, analysed and shared is immensely …

Urban sensing by crowdsourcing: Analysing urban trip behaviour in Zurich

D Shin - International Journal of Urban and Regional Research, 2016 - Wiley Online Library
The research on which this essay is based sought to provide a deeper understanding of live
urban activities. The main idea was to obtain in‐depth trip information by integrating sensing …

Inferring individual daily activities from mobile phone traces: A Boston example

M Diao, Y Zhu, J Ferreira Jr… - … and Planning B …, 2016 - journals.sagepub.com
Understanding individual daily activity patterns is essential for travel demand management
and urban planning. This research introduces a new method to infer individuals' activities …

Mobile sensing data for urban mobility analysis: A case study in preprocessing

I Zliobaite, J Hollmén - Proceedings of the Workshops of the EDBT …, 2014 - research.aalto.fi
Proceedings of the Workshops of the EDBT/ICDT 2014 Joint Conference (EDBT/ICDT 2014)
Page 1 This is an electronic reprint of the original article. This reprint may differ from the …

[PDF][PDF] Context-aware mobility analytics and trip planning

MS Rahaman - Ph. D. dissertation, 2018 - core.ac.uk
The users of urban spaces need to travel from one place to another for various reasons such
as work, leisure, and freight distribution. The study of user mobility describes this movement …

The MOVE Project: Smartphones for Smart Travel-behaviour Data Analyses

S Vlassenroot, R Bellens, D Verstraeten… - 19th ITS World …, 2012 - trid.trb.org
The MOVE application focuses on the tracking and tracing of crowd and travel behaviour
data by using a combination of the available sensors (GPS, Wi-Fi, cell, Bluetooth) in …

[PDF][PDF] TRIPZOOM: A system to motivate sustainable urban mobility

P Holleis, M Luther, G Broll, H Cao… - 1st Int. Conf. on Smart …, 2012 - medien.ifi.lmu.de
The accelerating growth of cities provides new chal-lenges for urban planning, especially
related to transportation. Many existing infrastructures already operate at their limits during …