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Smartphone-based Hard-braking Event Detection at Scale for Road Safety Services
[article]
2022
arXiv
pre-print
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We train a Transformer-based machine learning model for hard-braking event detection using concurrent sensor readings from smartphones and vehicle sensors from drivers who connect their phone to the vehicle ...
As an alternative to using sensors fixed in vehicles, this paper presents a scalable approach for detecting hard-braking events using the kinematics data collected from smartphone sensors. ...
Divya Jetley, Brian Ferris, Greg Phipps, Geoff Clark, Aldi Fahrezi, Jonathan Waltz, Jon Kimbel, Eric Dickinson, Genevieve Park, Kevin Eustice, Marco Gruteser, Eric Tholomé, and Blaise Agüera y Arcas for ...
arXiv:2202.01934v1
fatcat:z4urqhqkjnbjphuorkpvqvm2sa
A survey on driving behavior analysis in usage based insurance using big data
2019
Journal of Big Data
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In the insurance industry, Usage-Based Insurance (UBI) is the most popular use case of big data adaptation. ...
Increasing number of insurers are starting to launch PHYD or MHYD models all over the world and widespread customer adaptation is seen to improve the driver safety by monitoring the driving behavior. ...
Authors' contributions SA proposed the idea of the survey, performed the literature review, analysis for the work, and wrote the manuscript. ...
doi:10.1186/s40537-019-0249-5
fatcat:kitqrp6whvhr5j4tsyhbgdcoky
Assessment of vehicular transportation quality via smartphones
2015
Turkish Journal of Electrical Engineering and Computer Sciences
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Thus, it is necessary to develop systems that are able to detect and classify events related to the comfort and safety of vehicular transportation. ...
It is realized on Android smartphones and is highly portable and easy to maintain. Our tests show that our system is able to recognize and categorize driving events with an accuracy of 91%. ...
It is also possible to extend this personal solution to a larger-scale service where multiple subscribers share this information. ...
doi:10.3906/elk-1303-177
fatcat:dybliplfinfw7nzeauz5ji7lmq
Insurance Telematics: Opportunities and Challenges with the Smartphone Solution
2014
IEEE Intelligent Transportation Systems Magazine
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A plurality of FoMs are described, analyzed and categorized, including events and properties like harsh braking, speeding, and location. ...
The data quality provided by the smartphone is characterized in terms of Accuracy, Integrity, Availability, and Continuity of Service. ...
number of, per unit distance or unit time, hard acceleration events and harsh braking events, respectively. ...
doi:10.1109/mits.2014.2343262
fatcat:ruhw3tmelrhslgxtsmwtocgdjm
Cost-Effective Vehicle Monitoring System for Detecting Unacceptable Driver Behaviors on Road
2019
International Journal of Engineering Research and
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Application of an accelerometer sensor, together with the GPS module, provides the means to identify rough driving which includes hard brakes, fast accelerations, sharp turnings, over speeding on the roads ...
GPS based car location and speed monitoring offers only a narrow window to observe the driver behavior on the road. ...
C. y-axis data analysis: hard brakes and fast accelerations Data from y-axis can be analyzed for detecting hard brake or fast accelerations and also their frequency. ...
doi:10.17577/ijertv8is100336
fatcat:nsw4yg5bufd7pnewdr5jladtv4
Survey of smartphone-based sensing in vehicles for intelligent transportation system applications
2015
IET Intelligent Transport Systems
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Particular focus is placed on vehicle-based monitoring systems, such as driving behavior and style recognition, accident detection and road condition monitoring systems. ...
In this paper, existing approaches of using smartphones for ITS applications are analyzed and compared. ...
The first problem pertains to detecting braking events. A high occurrence of braking on a stretch of road could indicate poor road conditions or heavy traffic. ...
doi:10.1049/iet-its.2014.0248
fatcat:54e5kxa24rhtzamrlrhqxruugq
Driving Behavior Analysis for Smartphone-based Insurance Telematics
2015
Proceedings of the 2nd workshop on Workshop on Physical Analytics - WPA '15
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We review the most commonly employed driving events, and discuss some of the difficulties inherent in detecting these events. ...
As a result, several market participants have started looking towards smartphone-based solutions, which have the potential of easing and improving the data collection process for both policyholders and ...
At this point, however, several insurers and telematics service providers have started looking towards smartphone-based solutions [2] . ...
doi:10.1145/2753497.2753535
dblp:conf/mobisys/WahlstromSH15
fatcat:e3ndx2dadbh65dtdzmakuxnkai
Vehicular Data Space: The Data Point of View
2019
IEEE Communications Surveys and Tutorials
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Over the years, governments and automakers launched initiatives to improve road traffic efficiency, safety, and people mobility. ...
The development of new applications and services for ITS depends on the availability of different data sources, what it is not the current case. ...
of speed or hard braking. ...
doi:10.1109/comst.2019.2911906
fatcat:r75rbgvmcvbynk4vqby723ywoy
Accident Detection and Smart Rescue System using Android Smartphone with Real-Time Location Tracking
2018
International Journal of Advanced Computer Science and Applications
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By utilizing onboard sensors of a smartphone to detect vehicular accidents and report it to the nearest emergency responder available and provide real time location tracking for responders and emergency ...
The global crisis of road safety can be seen by observing the significant number of deaths and injuries that are caused by road traffic accidents. ...
Looking at the number of deaths and injuries due to road traffic accidents shows the global crisis of road safety. ...
doi:10.14569/ijacsa.2018.090648
fatcat:42bd5fncevg7lj3r5gmu34adby
Influence of Pedestrian Collision Warning Systems on Driver Behavior: A Driving Simulator Study
[article]
2021
arXiv
pre-print
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A total of 93 participants from diverse socio-economic backgrounds were recruited for this study, for which a virtual network of downtown Baltimore was created. ...
A jerk analysis is conducted to analyze the suddenness of braking and acceleration. ...
Young-Jae Lee, Associate Professor at Morgan State University. ...
arXiv:2112.09074v1
fatcat:lx3d5f6qhrh7pc7ejg2iwyt2re
Enhancing Vulnerable Road User Safety: A Survey of Existing Practices and Consideration for Using Mobile Devices for V2X Connections
[article]
2021
arXiv
pre-print
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Vulnerable road users (VRUs) such as pedestrians, cyclists and motorcyclists are at the highest risk in the road traffic environment. ...
Such exchanged information is utilized for creating situational awareness and detecting any potential collisions in advance to take necessary measures to avoid any possible road casualties. ...
Technology-based VRU safety application initiatives can be defined at two levels: awareness and collision detection, where awareness applications warn VRUs about the presence of other road users to increase ...
arXiv:2010.15502v2
fatcat:4udozzwkvveuxnpjbcvgfw454q
Driving style recognition using a smartphone as a sensor platform
2011
2011 14th International IEEE Conference on Intelligent Transportation Systems (ITSC)
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Understanding and recognizing driving events that fall into these categories can aid in vehicle safety systems. ...
To increase awareness and promote driver safety, we are proposing a novel system that uses Dynamic Time Warping (DTW) and smartphone based sensor-fusion (accelerometer, gyroscope, magnetometer, GPS, video ...
The maneuvers of interest are hard left and right turns, swerves, and sudden braking and acceleration patterns. ...
doi:10.1109/itsc.2011.6083078
dblp:conf/itsc/JohnsonT11
fatcat:y7miqwwbhbepzekqfbpaaj7w4y
In-Vehicle Situation Monitoring for Potential Threats Detection Based on Smartphone Sensors
2020
Sensors
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In the modern world, such systems enable the detection of potentially dangerous situations on the road, reducing accident probability. ...
We present a case study that supports our findings and shows the main use cases for threat identification using smartphone sensors: Drowsiness, distraction, unfastened belt, eating, drinking, and smartphone ...
No studies related to the effect of this threat to the driving safety have been found so we conclude that at the moment they cannot be detected by smartphone. ...
doi:10.3390/s20185049
pmid:32899524
fatcat:m3iat4x2xngyzdzvcd7zo4s3um
Real time speed bump detection using Gaussian filtering and connected component approach
2016
2016 World Conference on Futuristic Trends in Research and Innovation for Social Welfare (Startup Conclave)
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The proposed system goes very well for the roads which are constructed with proper painting irrespective of their dimension. ...
And the smartphone and accelerometer methodologies are not perfectly suitable for real time scenario due to GPS error, network overload, real-time delay, accuracy and battery running out. ...
One of the most common methodology for speed bump detection is using smartphone, the problem arises because of its hard code nature. ...
doi:10.1109/startup.2016.7583981
fatcat:zu7ddvyfxzblzcrqaktxegisnu
Real Time Speed Bump Detection Using Gaussian Filtering and Connected Component Approach
2016
Circuits and Systems
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The proposed system goes very well for the roads which are constructed with proper painting irrespective of their dimension. ...
And the smartphone and accelerometer methodologies are not perfectly suitable for real time scenario due to GPS error, network overload, real-time delay, accuracy and battery running out. ...
One of the most common methodology for speed bump detection is using smartphone, the problem arises because of its hard code nature. ...
doi:10.4236/cs.2016.79188
fatcat:fizjwjsbereafdq5hqr4p6s3ze
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