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MobisenseCar: A Mobile Crowd-Based Architecture for Data Acquisition and Processing in Vehicle-Based Sensing

Lionel Nkenyereye, Jong Wook
2017 International Journal of Advanced Computer Science and Applications  
The proposed MobiSenseCar uses Node.js, a web server architecture based on single-thread event loop approach and Apache Hive platform responsible for analyzing vehicle's engine data.  ...  with a smart device connected to the OBD-II interface.  ...  ACKNOWLEDGMENT This research was supported by the Brain Busan 21 Project in 2017 and The Human Resource Training program for Regional Innovation and Creativity through the Ministry of Educational and National  ... 
doi:10.14569/ijacsa.2017.080702 fatcat:ww6q3gtndfdsheu27lcdxdnwua

SenseMyCity: Crowdsourcing an Urban Sensor [article]

João G. P. Rodrigues, Ana Aguiar, João Barros
2014 arXiv   pre-print
This article describes SenseMyCity (SMC), an Internet of Things mobile urban sensor that is extensible and fully configurable. The platform consists of an app, a backoffice and a frontoffice.  ...  Although smartphones are used mainly for personal communication, social networking and web browsing, they have many connectivity capabilities, and are at the same time equipped with a wide range of embedded  ...  Our platform was also used to connect to OBD external sensors and gather vehicle information such as speed, fuel consumption and other driving metrics.  ... 
arXiv:1412.2070v1 fatcat:sirebxj6gndz5pnklgo447uqdu

iTraffic: A Smartphone-based Traffic Information System

Yi-Ta Chuang, Chih-Wei Yi, Yin-Chih Lu, Pei-Chuan Tsai
2013 2013 42nd International Conference on Parallel Processing  
We propose the i-Traffic system that utilizes crowdsourced data from smartphones for the traffic flow mining by shockwave techniques.  ...  The movement data of vehicles in front of an intersection are collected via smartphones for the shockwave identification.  ...  The popularity of smartphones makes both crowdsourcing and mobile sensing possible in pervasively data collection and sensing.  ... 
doi:10.1109/icpp.2013.109 dblp:conf/icpp/ChuangYLT13 fatcat:dp5fnp2qdrf23jfzxgilng7wpy

parkITsmart: Minimization of Cruising for Parking

Christos Tsiaras, Livio Hobi, Fabian Hofstetter, Samuel Liniger, Burkhard Stiller
2015 2015 24th International Conference on Computer Communication and Networks (ICCCN)  
To facilitate this, the PMMS gathers data from drivers', vehicles, their mobile phones, and Parking Inspectors (PIs).  ...  Finding a parking space in urban areas is a daily challenge for drivers across the world, due to the increasing amount of vehicles and the limited amount of parking spaces.  ...  Crowdsourcing Approaches and Mobile Parking Platforms A possible way to minimize the cost of gathering parking availability information is via crowdsourcing-based approaches.  ... 
doi:10.1109/icccn.2015.7288448 dblp:conf/icccn/TsiarasHHLS15 fatcat:lnn5so2uyjdl7d7rfmm2njqpxu

Emerging Ubiquitous Knowledge Services [chapter]

Uichin Lee, Howon Lee, Bang Jung, Junehwa Song
2012 Ergonomics Design & Mgmt. Theory & Applications  
In this chapter, we review the key enabling technologies of ubiquitous knowledge services and the existing integrated platforms on sensor data collection, retrieval, and application services.  ...  ., data, information, knowledge) from various sources (e.g., content providers, sensors, smart devices, humans) at large scales and to derive new values for end users in ways that the contributor of the  ...  Personal Environmental Impact Report (PEIR) is a mobile personal sensing platform that uses mobile handsets to collect/upload data, and generates web-based reports about personal environment impacts (  ... 
doi:10.1201/b12043-23 fatcat:bdeq3c5w5vdezbzkwt4rnx4lcm

Vehicular Data Space: The Data Point of View

Paulo H. Rettore, Guilherme Maia, Leandro A. Villas, Antonio A. F. Loureiro
2019 IEEE Communications Surveys and Tutorials  
To reveal the recent vehicular data use, we examined the most remarkable studies of the last few years, which describe services and applications for ITS, however with a focus on the data employed by them  ...  Finally, we present some challenges and open issues related to the process for data creation, data preparation, data processing, and data use.  ...  [73] designed a crowdsourcing pothole detection scheme using real-world data collected from a smart device with sensors, such as GPS, vehicle speed, the three-axis acceleration and data from the mobility  ... 
doi:10.1109/comst.2019.2911906 fatcat:r75rbgvmcvbynk4vqby723ywoy

Internet of vehicles: From intelligent grid to autonomous cars and vehicular clouds

Mario Gerla, Eun-Kyu Lee, Giovanni Pau, Uichin Lee
2014 2014 IEEE World Forum on Internet of Things (WF-IoT)  
The car is now a formidable sensor platform, absorbing information from the environment (and from other cars) and feeding it to drivers and infrastructure to assist in safe navigation, pollution control  ...  The concept that will help transition to the Internet of Vehicles is the Vehicular Cloud, the equivalent of Internet cloud for vehicles, providing all the services required by the autonomous vehicles.  ...  Cognitive Radios and Spectrum Data-base Crowdsourcing The previous applications point to the critical need for V2V between AUVs.  ... 
doi:10.1109/wf-iot.2014.6803166 dblp:conf/wf-iot/GerlaLPL14 fatcat:itnbdlvjnbefxncunbxqilnine

A Framework and a Tool for Semantic Annotation of POIs in OpenStreetMap

Floriano Scioscia, Mario Binetti, Michele Ruta, Saverio Ieva, Eugenio Di Sciascio
2014 Procedia - Social and Behavioral Sciences  
Current mobile systems for assisted navigation have limited effectiveness in satisfying user needs.  ...  The availability of annotated map data is a crucial requirement to make practically viable such a proposal.  ...  This prompted us to leverage open map data formats and crowdsourcing.  ... 
doi:10.1016/j.sbspro.2014.01.144 fatcat:gjt2srnw3rbapftvu3arbjmade

Semantic Annotation of OpenStreetMap Points of Interest for Mobile Discovery and Navigation

Michele Ruta, Floriano Scioscia, Saverio Ieva, Giuseppe Loseto, Eugenio Di Sciascio
2012 2012 IEEE First International Conference on Mobile Services  
Therefore the proposed framework is based on open standards and tools, particularly Semantic Web technologies and crowdsourced maps available from OpenStreetMap.  ...  Current mobile systems for assisted navigation have limited effectiveness in satisfying user needs.  ...  We are currently investigating an enhancement of the navigation tool by integrating a semantic-based driver assistance, which detects vehicle condition by means of OBD-II On-Board Diagnostics car interface  ... 
doi:10.1109/mobserv.2012.17 dblp:conf/mobserv/RutaSILS12 fatcat:zsee5ghb25dpbgphxd5e66frhy

Smart Urban Mobility: When Mobility Systems Meet Smart Data [article]

Zineb Mahrez, Essaid Sabir, Elarbi Badidi, Walid Saad, Mohamed Sadik
2020 arXiv   pre-print
AI-driven ITS is becoming possible thanks to the existence of a large volume of mobility data generated by billions of users through their use of new technologies and online social media.  ...  We also underline the role of the political will in promoting open data in the transport sector, considered as an essential ingredient for developing technological solutions necessary for cities to become  ...  As for data about driver behavior, the authors of [106] used smartphones combined with the vehicle electronic control unit (ECU) through the on-board diagnostics (OBD-II) Bluetooth interface to collect  ... 
arXiv:2005.06626v1 fatcat:trlofmgej5c3hlkmezha373gca

Security and Privacy Issues in Autonomous Vehicles: A Layer-Based Survey

Muhammad Hataba, Ahmed Sherif, Mohamed Mahmoud, Mohamed Abdallah, Waleed Alasmary
2022 IEEE Open Journal of the Communications Society  
Autonomy has long been a sought-after goal in vehicles, and now more than ever we are very close to that goal.  ...  We conceptualize the architecture of AVs in a four-layered model. Then, we survey security and privacy attacks and some of the most promising countermeasures to tackle them.  ...  In addition, parts of this paper, specifically Sections I, II, IV, and V, were made possible by NPRP grants NPRP13S-0205-200270 from the Qatar National Research VOLUME 3, 2022  ... 
doi:10.1109/ojcoms.2022.3169500 fatcat:dfiozub5kfag7gcdygumj7ieuy

Social Sensing [chapter]

Charu C. Aggarwal, Tarek Abdelzaher
2012 Managing and Mining Sensor Data  
Such data lends itself to a variety of rich applications in which one can use the sensor data in order to model the underlying relationships and interactions.  ...  This requires the development of trajectory mining techniques, which can mine the GPS data for interesting social patterns.  ...  Government is authorized to reproduce and distribute reprints for Government purposes notwithstanding any copyright notation here on.  ... 
doi:10.1007/978-1-4614-6309-2_9 fatcat:7k74wrhmozearbfbfod3yqjxcm

A Survey of Emergencies Management Systems in Smart Cities

Daniel G. Costa, Joao Paulo J. Peixoto, Thiago C. Jesus, Paulo Portugal, Francisco Vasques, Elivelton Rangel, Maycon Peixoto
2022 IEEE Access  
the way for new developments while classifying and organizing them according to different criteria.  ...  Additionally, recent developments in the domains of Internet of Things, Artificial Intelligence and Big Data are also highlighted when associated to the management of urban emergencies, potentially paving  ...  In [137] , the emission of polluting gases are monitored through a smartphone connected to the cars' OBD-II interface.  ... 
doi:10.1109/access.2022.3180033 fatcat:m7kxkae7snbetaoc3yoal2oif4

A Deep Learning Perspective on Connected Automated Vehicle (CAV) Cybersecurity and Threat Intelligence [article]

Manoj Basnet, Mohd. Hasan Ali
2021 arXiv   pre-print
training, adversarial threats to the model, and poor generalizability of the model under out of data distributions.  ...  deep learning-based threat intelligence for attack detection.  ...  They extracted the CAN bus data for normal and attack by using raspberry pi and simple hardware in the OBD-II port.  ... 
arXiv:2109.10763v1 fatcat:tigj5x6pnrbmrbf3my46ynr4we

Experience Maps

Bastian Pfleging, Alexander Meschtscherjakov, Stefan Schneegass, Manfred Tscheligi
2014 Proceedings of the 6th International Conference on Automotive User Interfaces and Interactive Vehicular Applications - AutomotiveUI '14  
We also present the results of a web survey with 114 participants that we conducted to explore the users' preferences and opinions regarding taking the experience into account for route guidance.  ...  In contrast, a slightly slower route could for instance offer a better driving experience with less traffic and scenic views.  ...  ., a smart phone) could be installed in the car to collect data from different sources (e.g., context data from smartphone sensors and the car's OBD-II interface; physiological data).  ... 
doi:10.1145/2667239.2667275 dblp:conf/automotiveUI/PflegingMST14 fatcat:sd2xeqcu5bb2hgd6whzjtfu3ku
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