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Crowd Intelligence for Sustainable Futuristic Intelligent Transportation System: A Review

Rathin Shit
2020 IET Intelligent Transport Systems  
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

Bin Guo, Zhu Wang, Zhiwen Yu, Yu Wang, Neil Y. Yen, Runhe Huang, Xingshe Zhou
2015 ACM Computing Surveys  
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

Kenneth Li-Minn Ang, Jasmine Kah Phooi Seng, Ericmoore Ngharamike, Gerald K. Ijemaru
2022 ISPRS International Journal of Geo-Information  
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]

Daqing Zhang, Bin Guo, Bin Li, Zhiwen Yu
2010 Lecture Notes in Computer Science  
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

Panagiotis Papadakis, Christophe Lohr, Marin Lujak, Abir Karami, Ioannis Kanellos, Guillaume Lozenguez, Anthony Fleury
2018 2018 Second IEEE International Conference on Robotic Computing (IRC)  
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

Carlos Lemonde, Elisabete Arsenio, Rui Henriques
2021 European Transport Research Review  
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

Ansar-Ul-Haque Yasar, Haroon Malik, Elhadi M. Shakshuki, Stephane Galland
2021 Personal and Ubiquitous Computing  
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

Alessandro Morelli, Cesare Stefanelli, Mauro Tortonesi, Niranjan Suri
2013 2013 International Conference on MOBILe Wireless MiddleWARE, Operating Systems, and Applications  
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

Bin Guo, Daqing Zhang, Zhiwen Yu, Yunji Liang, Zhu Wang, Xingshe Zhou
2012 World wide web (Bussum)  
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]

Donatella Darsena, Giacinto Gelli, Ivan Iudice, Francesco Verde
2022 arXiv   pre-print
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

Daqing Zhang, Bin Guo, Zhiwen Yu
2011 Computer  
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

Sergio Correia, Azzedine Boukerche, Rodolfo I. Meneguette
2017 IEEE Communications Magazine  
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]

Hung Cao, Monica Wachowicz, Chiara Renso, Emanuele Carlini
2018 arXiv   pre-print
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

Ayele Gobezie Chekol, Marta Sintayehu Fufa
2022 EURASIP Journal on Wireless Communications and Networking  
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]

Sergio Alvarez-Napagao, Arturo Tejeda-Gómez, Luis Oliva-Felipe, Dario Garcia-Gasulla, Victor Codina, Ignasi Gómez-Sebàstia, Javier Vázquez-Salceda
2015 Communications in Computer and Information Science  
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
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