A Mobile Application for Road Surface Quality Control: UNIquALroad

Astarita, Vittorio; Caruso, Maria Vittoria; Danieli, Guido; Festa, Demetrio Carmine; Giofrè, Vincenzo Pasquale; Iuele, Teresa; Vaiana, Rosolino

doi:10.1016/j.sbspro.2012.09.828

Cited by 93 publications

(45 citation statements)

References 4 publications

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“…Other works have been focused on obtaining road pavement conditions and fuel consumption estimation from mobile phones: Astarita et al [17], Mohan et al [18], and Astarita et al [19]. Dailey and Cathey [20] proposed the use of data coming from transit vehicles to estimate traffic speeds.…”

Section: State Of the Art And Contributionmentioning

confidence: 99%

The Use of Adaptive Traffic Signal Systems Based on Floating Car Data

Astarita

Giofrè

Guido

et al. 2017

Wireless Communications and Mobile Computing

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This paper presents a simple concept which has not been, up to now, thoroughly explored in scientific research: the use of information coming from the network of Internet connected mobile devices (on vehicles) to regulate traffic light systems. Three large-scale changes are going to shape the future of transportation and could lead to the regulation of traffic signal system based on floating car data (FCD): (i) the implementation of Internet connected cars with global navigation satellite (GNSS) system receivers and the autonomous car revolution; (ii) the spreading of mobile cooperative Web 2.0 and the extension to connected vehicles; (iii) an increasing need for sustainability of transportation in terms of energy efficiency, traffic safety, and environmental issues. Up to now, the concept of floating car data (FCD) has only been extensively used to obtain traffic information and estimate traffic parameters. Traffic lights regulation based on FCD technology has not been fully researched since the implementation requires new ideas and algorithms. This paper intends to provide a seminal insight into the important issue of adaptive traffic light based on FCD by presenting ideas that can be useful to researchers and engineers in the long-term task of developing new algorithms and systems that may revolutionize the way traffic lights are regulated.

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Section: State Of the Art And Contributionmentioning

confidence: 99%

The Use of Adaptive Traffic Signal Systems Based on Floating Car Data

Astarita

Giofrè

Guido

et al. 2017

Wireless Communications and Mobile Computing

Self Cite

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“…Within these studies, the "Pothole Patrol" [8] [11] study. Their aim is to assess the quality of the road, and they utilize a threshold based filter on the acceleration values, obtaining %90 successful bump detection and %65 successful pothole detection rates.…”

Section: State Of the Artmentioning

confidence: 99%

On-road anomaly detection by multimodal sensor analysis and multimedia processing

Orhan

Eren

2014

SPIE Proceedings

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The use of smartphones in Intelligent Transportation Systems is gaining popularity, yet many challenges exist in developing functional applications. Due to the dynamic nature of transportation, vehicular social applications face complexities such as developing robust sensor management, performing signal and image processing tasks, and sharing information among users. This study utilizes a multimodal sensor analysis framework which enables the analysis of sensors in multimodal aspect. It also provides plugin-based analyzing interfaces to develop sensor and image processing based applications, and connects its users via a centralized application as well as to social networks to facilitate communication and socialization. With the usage of this framework, an on-road anomaly detector is being developed and tested. The detector utilizes the sensors of a mobile device and is able to identify anomalies such as hard brake, pothole crossing, and speed bump crossing. Upon such detection, the video portion containing the anomaly is automatically extracted in order to enable further image processing analysis. The detection results are shared on a central portal application for online traffic condition monitoring.

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“…Vehicle vibration has also been extensively discussed in literature and used in diverse domains, such as terrain identification in planetary exploration rovers [7], road quality mapping used in bikes [23] and cars [9], [20] and finally in mobile based applications [2].…”

Section: Introductionmentioning

confidence: 99%

Annotation and Position Recall from Low Grade Sensorial Data in the Context of Topological Railway Maps

Colceriu¹,

Stefanut²,

Bacu³

et al. 2017

STUD INFORM CONTROL

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Describing high quality track maps is an important prerequisite for the localization algorithms, which depend on relatively unreliable and unsafe triangulation technologies, such as the Global Navigation Satellite System solutions available on modern mobile devices. The state of the art studies and experiments concerning the maps annotation methodologies have been focused on using large quantities of crowdsourcing sensorial data and open source topological maps. The objective is to produce a low-cost platform for regional railway operators, to visualize the track's geometry and to generate a track representation, which can be then recalled across multiple journeys. The paper aims to develop and experiment with a sensorial signature representation toward providing a flexible solution for signal alignment based on Genetic Algorithms. The alignment solution intends to describe the sensorial signals of the track line in a relevant manner that makes localization algorithms possible based on the nonlinear state estimation.

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A Mobile Application for Road Surface Quality Control: UNIquALroad

Cited by 93 publications

References 4 publications

The Use of Adaptive Traffic Signal Systems Based on Floating Car Data

The Use of Adaptive Traffic Signal Systems Based on Floating Car Data

On-road anomaly detection by multimodal sensor analysis and multimedia processing

Annotation and Position Recall from Low Grade Sensorial Data in the Context of Topological Railway Maps

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