SenSafe: A Smartphone-Based Traffic Safety Framework by Sensing Vehicle and Pedestrian Behaviors

Liu, Zhenyu; Wu, Mengfei; Zhu, Konglin; Zhang, Lin

doi:10.1155/2016/7967249

Cited by 27 publications

(9 citation statements)

References 15 publications

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“…It has to be mentioned that the majority of the authors tried to tackle non-line-of-sight and blind spots, where the driver's view is limited due to buildings, vehicles and other obstacles. The majority of research was carried out in 2014 [14,[19][20][21], in 2016 [1,[22][23][24][25][26] and in 2017 [27][28][29]. Moreover, most of the V2P developments used several sensors data fusion techniques [1,19,21,22,24,26,27,30], while some of them [20,31] discussed methods to predict VRU next move/short path and some others presented collision avoidance systems [23,26,32].…”

Section: Vehicle To Pedestrians (V2p) Systems-developmentsmentioning

confidence: 99%

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Use Of Smartphones for Ensuring Vulnerable Road User Safety through Path Prediction and Early Warning: An In-Depth Review of Capabilities, Limitations and Their Applications in Cooperative Intelligent Transport Systems

Vourgidis

Μαγλαράς

Alfakeeh

et al. 2020

Sensors

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The field of cooperative intelligent transport systems and more specifically pedestrians to vehicles could be characterized as quite challenging, since there is a broad research area to be studied, with direct positive results to society. Pedestrians to vehicles is a type of cooperative intelligent transport system, within the group of early warning collision/safety system. In this article, we examine the research and applications carried out so far within the field of pedestrians to vehicles cooperative transport systems by leveraging the information coming from vulnerable road users’ smartphones. Moreover, an extensive literature review has been carried out in the fields of vulnerable road users outdoor localisation via smartphones and vulnerable road users next step/movement prediction, which are closely related to pedestrian to vehicle applications and research. We identify gaps that exist in these fields that could be improved/extended/enhanced or newly developed, while we address future research objectives and methodologies that could support the improvement/development of those identified gaps.

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Section: Vehicle To Pedestrians (V2p) Systems-developmentsmentioning

confidence: 99%

“…Table 4. Performance of two stride length estimation algorithms for 3 different walking speeds [24,25]. The authors of the research implemented and tested 3 different positioning algorithms.…”

Section: Inertial Navigation Systems Smartphones Sensors Data Fusionmentioning

confidence: 99%

Use Of Smartphones for Ensuring Vulnerable Road User Safety through Path Prediction and Early Warning: An In-Depth Review of Capabilities, Limitations and Their Applications in Cooperative Intelligent Transport Systems

Vourgidis

Μαγλαράς

Alfakeeh

et al. 2020

Sensors

View full text Add to dashboard Cite

show abstract

“…The detection algorithm runs at the RSUs, which play the role of controllers in collecting data, running the algorithm, and warning the cars. In [35] a framework uses a collision estimation algorithm, together with smartphones, to sense the surrounding events and provide alerts to drivers. This solution uses estimation and does not work with sensors to improve better precision.…”

Section: Related Workmentioning

confidence: 99%

When Backscatter Communication Meets Vehicular Networks: Boosting Crosswalk Awareness

et al. 2020

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The research of safety applications in vehicular networks has been a popular research topic in an effort to reduce the number of road victims. Advances on vehicular communications are facilitating information sharing through real time communications, critical for the development of driving assistance systems. However, the communication by itself is not enough to reach the most desired target as we need to know which safety-related information should be disseminated. In this work, we bring passive sensors and backscatter communication to the vehicular network world. The idea is to increase the driver (or vehicle) awareness regarding the presence of pedestrians in a crosswalk. Passive sensors and backscatter communication technologies are used for the pedestrians' detection phase, while the vehicular network is used during the dissemination of the detection information to surrounding vehicles. The proposed solution was validated through end-to-end experimentation, with real hardware and in a real crosswalk with real pedestrians and vehicles, demonstrating its applicability. INDEX TERMS Vulnerable road users, driver assistance systems, connected vehicles, passive sensors, energy harvesting, backscatter communication, vehicular networks, decentralized message dissemination.

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“…Communication faces the issue of beaconing for vehicular awareness, addressing both the problem of channel load and adaptive beaconing. The scientific community focuses on safety applications [127] for different environments: platooning, lane changing, collision avoidance, and so forth. There are also some proposals focusing on planning [128][129][130] and managing [37][38][39]131] vehicular networks.…”

Section: Overview Of the Research In Infrastructure-based Vehicular Nmentioning

confidence: 99%

A Survey on Infrastructure-Based Vehicular Networks

Silva¹,

Masini²,

Ferrari³

et al. 2017

Mobile Information Systems

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The infrastructure of vehicular networks plays a major role in realizing the full potential of vehicular communications. More and more vehicles are connected to the Internet and to each other, driving new technological transformations in a multidisciplinary way. Researchers in automotive/telecom industries and academia are joining their effort to provide their visions and solutions to increasingly complex transportation systems, also envisioning a myriad of applications to improve the driving experience and the mobility. These trends pose significant challenges to the communication systems: low latency, higher throughput, and increased reliability have to be granted by the wireless access technologies and by a suitable (possibly dedicated) infrastructure. This paper presents an in-depth survey of more than ten years of research on infrastructures, wireless access technologies and techniques, and deployment that make vehicular connectivity available. In addition, we identify the limitations of present technologies and infrastructures and the challenges associated with such infrastructure-based vehicular communications, also highlighting potential solutions.

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SenSafe: A Smartphone-Based Traffic Safety Framework by Sensing Vehicle and Pedestrian Behaviors

Cited by 27 publications

References 15 publications

Use Of Smartphones for Ensuring Vulnerable Road User Safety through Path Prediction and Early Warning: An In-Depth Review of Capabilities, Limitations and Their Applications in Cooperative Intelligent Transport Systems

Use Of Smartphones for Ensuring Vulnerable Road User Safety through Path Prediction and Early Warning: An In-Depth Review of Capabilities, Limitations and Their Applications in Cooperative Intelligent Transport Systems

When Backscatter Communication Meets Vehicular Networks: Boosting Crosswalk Awareness

A Survey on Infrastructure-Based Vehicular Networks

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