A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
Filters
Crowd Intelligence for Sustainable Futuristic Intelligent Transportation System: A Review
2020
IET Intelligent Transport Systems
Preserved Fulltext
The crowd-intelligence-based mobility, traffic control, traffic prediction, parking solutions have been discussed in this survey. ...
In this study, a survey is conducted considering crowd-intelligence techniques for the transportation system. ...
Mobile phone-based crowdsourcing for human mobility pattern is proposed in [135, 136] . ...
doi:10.1049/iet-its.2019.0321
fatcat:2krdzlefdndbxfx3uhlzexhps4
Mobile Crowd Sensing and Computing
2015
ACM Computing Surveys
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
We further clarify the complementary nature of human and machine intelligence and envision the potential of deep-fused human-machine systems. ...
With the surging of smartphone sensing, wireless networking, and mobile social networking techniques, Mobile Crowd Sensing and Computing (MCSC) has become a promising paradigm for cross-space and largescale ...
ACKNOWLEDGMENTS The authors would like to thank all the colleagues for their discussion and suggestions. ...
doi:10.1145/2794400
fatcat:lol35ouj75eplapvdod5kyy2me
Emerging Technologies for Smart Cities' Transportation: Geo-Information, Data Analytics and Machine Learning Approaches
2022
ISPRS International Journal of Geo-Information
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
can be exploited for SC transportation strategies. ...
artificial intelligence (AI) approaches for SC transportation, and recent trends revealed by using integrated deep learning towards SC transportation. ...
The authors generated the human mobility patterns among regions using taxi traces and bus transactions. ...
doi:10.3390/ijgi11020085
fatcat:bjkv6cu7zbfqbl7q7ezfhai5ya
Extracting Social and Community Intelligence from Digital Footprints: An Emerging Research Area
[chapter]
2010
Lecture Notes in Computer Science
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
patterns of individual, group and societal behaviours. ...
"digital footprints" to reveal the patterns of individual, group and societal behaviours. ...
Fig. 2 . 2 A general architecture for community intelligence 4 ...
doi:10.1007/978-3-642-16355-5_4
fatcat:2zlro5l4dvfhtpavzbojowxgo4
System Design for Coordinated Multi-robot Assistance Deployment in Smart Spaces
2018
2018 Second IEEE International Conference on Robotic Computing (IRC)
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
In this work, we set the bases of the integration of ambient intelligence (AmI) with mobile robot teams (MRT), aiming to enhance ambient assisted living services addressing a variety of tasks. ...
We argue that people with reduced mobility can benefit from a synergy between AmI and MRT in various aspects. ...
As a result, exploitation of multiple heterogeneous agents that need to collaborate, exchange information and maximally exploit human feedback is required. ...
doi:10.1109/irc.2018.00068
dblp:conf/irc/PapadakisLLKKLF18
fatcat:2fzjpxijrbcwpoza5id5fymg2y
Integrative analysis of multimodal traffic data: addressing open challenges using big data analytics in the city of Lisbon
2021
European Transport Research Review
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
Second, rooted on existing literature and empirical evidence, we outline principles for the context-aware discovery of multimodal patterns from heterogeneous sources of urban data. ...
Hence, cities are becoming sensorized and heterogeneous sources of urban data are being consolidated with the aim of monitoring multimodal traffic patterns, encompassing all major transport modes—road, ...
Acknowledgements The authors thank the support of CARRIS, METRO and the Lisbon City Council (Câmara Municipal de Lisboa) and its Gabinete de Mobilidade and Centro de Operações Integrado for the data provision ...
doi:10.1186/s12544-021-00520-3
fatcat:atdack4iwzbfdp22r5nlmw4lhm
Special issue on trends & advances to mine intelligence from ambient data
2021
Personal and Ubiquitous Computing
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
A first version of the platform was tested with 7 healthy human participants. ...
That version is have been validated clinically with both healthy and impaired human participants. ...
The complexity was determined for a large set of observed routes and for routes in the generated choice sets for the corresponding origin-destination pairs. ...
doi:10.1007/s00779-021-01548-x
fatcat:nbnmsovvbfhq5ammyu25xbkane
Mobility Pattern Prediction to Support Opportunistic Networking in Smart Cities
2013
2013 International Conference on MOBILe Wireless MiddleWARE, Operating Systems, and Applications
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2015; you can also visit the original URL.
The file type is application/pdf.
The ever increasing number of mobile devices in Smart Cities and their heavy use, not only for personal communication but also as a distributed network of sensors, generate a data deluge that stresses ...
To improve the effectiveness of opportunistic networking in Smart Cities, we propose a solution which exploits a prediction model tailored for the urban environment that, by detecting complex recurring ...
For example, let us consider the bus route depicted in Fig. 1 . ...
doi:10.1109/mobilware.2013.23
dblp:conf/mobilware/MorelliSTS13
fatcat:olwsbrrkrbabfmyifvizkw632q
From the internet of things to embedded intelligence
2012
World wide web (Bussum)
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
By exploring the various interactions between humans and the IoT, we extract the "embedded" intelligence about individual, environment, and society, which can augment existing IoT systems with user, ambient ...
Under this grand vision, the next-generation Internet will promote harmonious interaction among humans, objects, and environments. ...
For example, the Reality Mining project of MIT can infer 95% of friendships on the basis of observational data from mobile phones [17] . Human mobility patterns. ...
doi:10.1007/s11280-012-0188-y
fatcat:ocyb57s5mvhmtep5ezcf7pbcku
Sensing Technologies for Crowd Management,Adaptation, and Information Dissemination inPublic Transportation Systems: A Review
[article]
2022
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
Other Versions
users of the crowding status of the PT system, by means of electronic displays installed inside vehicles or at bus stops/stations, and/or by mobile transport applications. ...
to: (i) monitor and predict crowding events; (ii) implement crowd-aware policies for real-time and adaptive operation control in intelligent transportation systems (ITSs); (iii) inform in real-time the ...
system concept within the call for ideas in response to COVID-19 outbreak in Italy. ...
arXiv:2009.12619v4
fatcat:fzst7hbunfgz7ajhrgkywdakjq
The Emergence of Social and Community Intelligence
2011
Computer
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
Initially, analysts used Internet content as the premier data source for understanding large-scale human interaction. ...
COMPUTER 22 PERSPECTIVE S EVOLUTION OF SOCIAL AND COMMUNITY INTELLIGENCE RESEARCH T he understanding of human behavior, social interactions, and city dynamics has long relied on data collected through ...
mobile sensing data related to human social behavior to characterize human interaction and behavior patterns Urban computing Study the interaction between humans and environments using technology in public ...
doi:10.1109/mc.2011.65
fatcat:ati2z2ncnng45hxobax4t7vsga
An Architecture for Hierarchical Software-Defined Vehicular Networks
2017
IEEE Communications Magazine
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
As one of the significant parts for Internet of Everything (IoE), vehicular networks provide network services for things in intelligent transport systems. ...
In addition, discussion of challenges for using cloud computing and SDN for vehicular networks is presented. ...
Controller can build a node connectivity graph for making intelligent decisions, such as the selection of routing paths through the network. ...
doi:10.1109/mcom.2017.1601105
fatcat:aqxe2dv64fftxlbpr32gduomv4
An edge-fog-cloud platform for anticipatory learning process designed for Internet of Mobile Things
[article]
2018
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
Other Versions
This paper presents a novel architecture for data analytics targeting an anticipatory learning process in the context of the Internet of Mobile Things. ...
In data contextualization raw data streams are transformed to become suitable for learning about human mobility behaviour. ...
To do so, we select the tuple located at the middle of a bus route for using it as a reference point for identifying the direction of a moving bus. ...
arXiv:1711.09745v2
fatcat:ofkzfcuptvetniznlt5nktrshm
A survey on next location prediction techniques, applications, and challenges
2022
EURASIP Journal on Wireless Communications and Networking
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
It is challenging to analyze and mine trajectory data due to the complex characteristics reflected in human mobility, which is affected by multiple contextual information. ...
Finally, we draw the overall conclusion of the survey, which is important for the development of robust next location prediction systems. ...
Therefore, this study collects big heterogeneous data and built an intelligent system, namely, DeepMob, for understanding and predicting human evacuation behavior and mobility following different types ...
doi:10.1186/s13638-022-02114-6
fatcat:s2ixs3ftibaobighbik6ikgfce
Urban Context Detection and Context-Aware Recommendation via Networks of Humans as Sensors
[chapter]
2015
Communications in Computer and Information Science
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Keywords: social networks, smart mobile devices, human as a sensor, recommender systems 1. improve knowledge obtained from other data generation approaches, such as GPS pattern analysis, 2. detect unexpected ...
The wide adoption of smart mobile devices makes the concept of human as a sensor possible, opening the door to new ways of solving recurrent problems that occur in everyday life by taking advantage of ...
This phenomenon has been referred to as humans as sensors [14] . Sensing through mobile humans potentially provides sensor coverage where events are taking place. ...
doi:10.1007/978-3-662-46241-6_7
fatcat:bymmxic2rvcp7fljaztxoc7yxa
« Previous
Showing results 1 — 15 out of 4,698 results