A Smartphone-Based Probe Data Platform for Road Management and Safety in Developing Countries

Kataoka, Kotaro; Gangwar, Saurabh; Mudda, Karthik Yadav; Mandal, Souraj

doi:10.1109/icdmw.2018.00095

Cited by 4 publications

(3 citation statements)

References 4 publications

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“…This study classified road conditions into 'bumpy', 'filled with potholes' or 'normal' categories and drivers into 'aggressive' or 'calm' categories. Data from accelerometers within smartphones was also employed for measuring road roughness, a key indicator of road condition [59]. Machine learning was also employed by Marcelino, Lurdes Antunes [51] to improve the accuracy of predicting road conditions when fewer data are available.…”

Section: Road Conditionmentioning

confidence: 99%

Understanding the potential of emerging digital technologies for improving road safety

Torbaghan

Sasidharan

Reardon

et al. 2022

Accident Analysis & Prevention

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Section: Road Conditionmentioning

confidence: 99%

Understanding the potential of emerging digital technologies for improving road safety

Torbaghan

Sasidharan

Reardon

et al. 2022

Accident Analysis & Prevention

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“…With the development of smartphones, the use of GPS on smartphones has become more widespread. Using the collective intelligence recorded by smartphones, a sensor data platform is proposed for sensing, detecting, and visualizing road surface roughness and driving behavior [ 30 ]. The authors collected real driving records from different roads in Hyderabad and India, comparing the significant differences in visual conditions in terms of road conditions and driving behavior.…”

Section: Efficiencymentioning

confidence: 99%

Efficient and Safe Strategies for Intersection Management: A Review

Wang

Guo

Yang

2021

Sensors

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Intersection management is a sophisticated event in the intelligent transportation system due to a variety of behavior for traffic participants. This paper primarily overviews recent studies on the scenes of intersection, aiming at improving the efficiency or guaranteeing the safety when vehicles pass the crossing. These studies are respectively surveyed from the perspectives of efficiency and safety. Firstly, recent contributions to efficiency-oriented, intersection management overviews from four scenes, including congestion avoidance, green light optimized speed advisory (GLOSA), trajectory planning, and emergency vehicle priority preemption control. Furthermore, the studies on intersection collision detection and abnormal information warning are surveyed in the safety category. The corresponding algorithms for velocity and route management presented in the surveyed works are discussed.

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“…Finally, [22] is an interesting work where the authors have developed an early recognition system that is able to determine inattentive driving event before their completion from audio signals. Another important factor that can affect passenger safety is road condition, which was studied extensively by El-Wakeel et al [6], Kataoka et al [9], and AbdulQawy et al [1]. These works use crowdsensing to acquire data which is later classified, this information can be later used to generate alerts when a vehicle approaches an affected area.…”

Section: Introductionmentioning

confidence: 99%

Detecting Vehicles’ Relative Position on Two-Lane Highways Through a Smartphone-Based Video Overtaking Aid Application

et al. 2020

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Here we present a smartphone-based realtime video overtaking aid for vehicular networks. The developed application aims to prevent head-on collisions that might occur due to attempts to overtake when the view of the driver is obstructed by the presence of a larger vehicle ahead. In such cases, the driver does not have a clear view of the road ahead and of any vehicles ahead that might be coming from the opposite direction, resulting in a high probability of accident occurrence. Our application relies on the use of dashboard mounted smartphones with the back camera facing the windshield and the screen towards the driver. A video is streamed from the vehicle ahead to the vehicle behind automatically, where it is displayed so that the driver can decide if it is safe to overtake. One of the major challenges is the way to elect the video source and destination among the vehicles in close proximity, depending on their relative position on road. For this purpose, we have focused on two different methods: the first relying solely on GPS data, which is faster but prone to errors due to GPS inaccuracies; the second method involving use of the camera and vehicle heading information, is accurate over short distances but is more computationally intensive.

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A Smartphone-Based Probe Data Platform for Road Management and Safety in Developing Countries

Cited by 4 publications

References 4 publications

Understanding the potential of emerging digital technologies for improving road safety

Understanding the potential of emerging digital technologies for improving road safety

Efficient and Safe Strategies for Intersection Management: A Review

Detecting Vehicles’ Relative Position on Two-Lane Highways Through a Smartphone-Based Video Overtaking Aid Application

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