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Cloud-Assisted Mobile Crowd Sensing for Route and Congestion Monitoring
2021
IEEE Access
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Citizens carrying smartphones can be exploited as an important provider of traffic information and the mobile crowd sensing paradigm can be used as a solution to this challenge. ...
Crowd intelligence that is used to estimate traffic congestion levels, arrival times, and average road speed is harvested from crowd sensed data. ...
[32] present SmartRoad, a crowd-sourced road sensing system developed for detecting and identifying traffic regulators, including traffic lights, and stop signs. ...
doi:10.1109/access.2021.3129932
fatcat:ivnpzzcb4fdvbprdyxc3tmgxsi
Traffic Regulator Detection and Identification from Crowdsourced Data—A Systematic Literature Review
2019
ISPRS International Journal of Geo-Information
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The topic of this systematic literature review (SLR) is the detection and recognition of traffic regulators such as traffic lights (signals), stop-, yield-, priority-signs, right of way priority rules ...
An important source of information in maps, especially under the consideration of forthcoming self-driving vehicles, is the traffic regulators. ...
SmartRoad: Smartphone-Based Crowd Sensing for Traffic
Regulator Detection and Identification
Journal
2015
Stop-Signs, Traffic-Signals,
Uncontrolled
4
[76]
Seremi & Abdelzahe
Combining Map-Based ...
doi:10.3390/ijgi8110491
fatcat:dma5dzeww5dpxgfgpq3v2eua7q
A Survey on Smartphone-Based Crowdsensing Solutions
2016
Mobile Information Systems
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In this paper, we provide a survey of smartphone-based crowdsensing solutions that have emerged in the past few years, focusing on 64 works published in top-ranked journals and conferences. ...
Also, the preferred client platform is Android, while server platforms are typically web-based, and client-server communications mostly rely on XML or JSON over HTTP. ...
Estatal de Investigación, Desarrollo e Innovación Orientada a los Retos de la Sociedad, Proyectos I+D+I 2014, Spain, under Grant TEC2014-52690-R, the "Universidad Laica Eloy Alfaro de Manabí-ULEAM," and ...
doi:10.1155/2016/9681842
fatcat:zzmclqr72nd5nbloyoo6stgzlq
IJESRT INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY ANALYSIS BASED ON SVM FOR UNTRUSTED MOBILE CROWDSENSING-A REVIEW
International Journal of Engineering Sciences & Research Technology
unpublished
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However, collecting sensing data from other users may violate their privacy. Moreover, the data aggregator and/or the participants of crowdsensing may be untrusted entities. ...
In this proposed work, we use SVM classifier for classifying the data can be used by companies for marketing surveys or decision making. ...
Abdelzaher [10] present SmartRoad, a crowd-sourced road sensing system that detects and identifies traffic regulators, traffic lights, and stop signs, in particular. ...
fatcat:khbg7btxwra3jarhb4invkx6we
INTELLIGENT TRAFFIC LIGHT CONTROLLER USING EMBEDDED SYSTEM
International Research Journal of Engineering and Technology (IRJET)
unpublished
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Present Traffic Light Controllers (TLC) based on microcontroller and microprocessor. ...
Thus, optimization of traffic light switching increases road capacity and traffic flow, and can prevent traffic congestions. ...
Wankhede for providing all facilities and every help for smooth progress of seminar. ...
fatcat:zfjlpq3lzjev3bbvgv7bvxowoq
The impact of iot communication protocols on efficient mobile crowdsensing
2019
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Based on the findings, a new sensing approach is introduced aiming to improve system's robustness and minimise energy requirements. ...
Simulation and off-the- shelf-device-based experiment runs provided an insight on the performance of the said protocols. ...
SmartRoad Hu et al. demonstrated a crowdsourcing system that uses smartphones to determine the location of traffic lights, regulators, and stop signs [13] . ...
doi:10.15126/thesis.00852345
fatcat:rdedhfkhbzci7eoi52tg4auuae