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Many intelligent transportation systems (ITS) in cities with developed economies are making use of mobile technology as data sources (e.g., many crowd-sourced traffic-related applications) to improve the quality and efficiency of transportation networks. Often, these data sources are used to supplement existing traffic monitoring equipment (e.g., ground-loop detectors, traffic cameras), to provide...
Advances in the Internet of Things (IoT) infrastructures are enabling the gathering, processing and inference of a wide array of data, enabling more agile decision management frameworks in several contexts, including vehicle routing and navigation. Coupled with crowd-sensing, these decision management frameworks gain further advantage in terms of data availability. This work concerns itself with safety...
The experience of negative emotions in everyday life, such as anger and anxiety, can have adverse effects on long-term cardiovascular health. However, objective measurements provided by mobile technology can promote insight into this psychobiological process and promote self-awareness and adaptive coping. It is postulated that the creation of a mobile lifelogging platform can support this approach...
This study suggests real-time sensing system of elderly's crossing behavior at outdoor environments. In general, many researchers use a manual based techniques by video-recorded footage for detecting the behaviors. The detecting data are pedestrians' crossing times, speeds, trajectory data, step length, elderly pedestrians' crossing characteristics, and interaction with approaching vehicles, critical...
Today's vehicles are sensor-rich but computation-poor. To better assist drivers, current vehicles have a large number of diverse sensors, for instance, the 2017 Ford GT has over 50 built-in cameras and sensors that can determine speed, location, humidity, occupancy, mechanical positioning, and a wealth of other data. However, modern vehicles have little general-purpose computing capacity due to cost,...
Nowadays, vehicles have shown great potential in crowdsensing. To guarantee a good Quality of Service (QoS), stimulating enough vehicles to participate in crowdsensing is very necessary. In this paper, we focus on the incentive mechanism design in the vehicle-based nondeterministic crowdsensing. Different from existing works, we take into consideration that each vehicle performs sensing tasks along...
Currently, most automatic traffic incident detection systems rely heavily on data collected from fixed sensors such as inductive loop detectors and surveillance cameras. However, fixed sensors are difficult to install and maintain. Moreover, it is quite costly to deploy a large number of fixed sensors to cover a broad area. It is potentially more efficient to use vehicles as mobile sensors to collect...
Cognitive Radio (CR) is a promising technology to solve the spectrum scarcity. Spectrum sensing becomes more challenging in Cognitive Vehicular Networks (CVNs) due to Secondary Users (SUs) mobility. Current studies on cooperative spectrum sensing usually assume that sensors are static and independent, which is unreasonable in vehicular networks with dense traffic. In this paper, we investigate the...
Smart environments such as smart grid, smart transportation, smart buildings are upon us because of major advances in sensor, communication, cloud and other cyber-physical system technologies. The collective name for interconnected sensors, placed on "things" within fixed cyber-physical infrastructures, is Internet of Things (IoT). IoT enables cities and rural areas to become smarter and...
Public transport plays an importation role in our daily life. The information related to passengers satisfaction is very beneficial for optimizing the transportation service. This paper investigates an application of mobile crowd sensing to detect and analyze the riding quality of public transport vehicles. The lightweight system leverages sensors equipped on participants' smartphones to collect surrounding...
Vehicular crowdsensing takes advantage of the mobility of vehicles to provide location-based services in large-scale areas. In this paper, we analyze vehicular crowdsensing and formulate the interactions between a crowdsensing server and a number of vehicles equipped with sensors in the area of interest as a vehicular crowdsensing game. Each participant vehicle chooses its sensing strategy based on...
In this paper, we introduce a new strategy of using VANET nodes with visual sensors and wireless transceivers to build an instant camera barrier for a given mission period. Given a set of properly equipped VANET nodes whose drivers voluntarily join the protocol by exposing their future travel plans and use onboard equipment to transmit realtime video to the authority, we aim to maintain the barrier...
Smart vehicles have been capturing increasing attention as major providers of ubiquitous information services. In this paper, we propose a solution to enable expedited and cost-effective access of road information for vehicles as information requesters. The proposed caching-assisted data delivery with mobile requesters (CADD-MR) scheme employs caching on the data delivery path for handling later interests...
This paper introduces the concept of using IoT and Cloud based technology in car parking services in cities. A high-level view of the proposed system is outlined. Our solution makes the ancient parking system smarter by leveraging the power of IoT and embedding it with the latest innovation of electronic sensors & computers. An IoT-based intelligent car parking system is described. A number of...
With an increase in the number of mobile applications, the development of mobile crowdsensing systems has recently attracted a significant attention in both academic researchers and industries. In mobile crowdsensing system, the remote cloud (or back-end server) harvests all the crowdsensing data from the mobile devices, and the crowdsensing data can be uploaded immediately via 3G/4G. To reduce the...
In the last twenty years, vehicles have become equipped with various sensors and resources, making them capable to communicate, to share resources and to behave cooperatively. This gave rise to the concept of vehicular cloud (VC). Vehicular cloud can be described from the standpoint of applications and services offered by vehicles that belong to a Vehicular Ad hoc Network (VANET). Because of the limitation...
In cognitive vehicular networks, unlicensed secondary users heavily depend on spectrum sensing to find unused spectrum bands for communications. The performance study of existing spectrum sensing algorithms often overlooks the impact of secondary user mobility.Many of them assume secondary users stationary or with low mobility. In this paper, we investigate the joint impact of secondary user mobility...
This paper proposes Health Drive, a novel mobile healthcare platform with context-aware multiple-sensor integration to promote safe driving. Health Drive employs a multi-tier vehicular social network (M-VSN) architecture that consists of three tiers: network tier, mobile device tier and cloud tier. The network tier provides communication supports, and the mobile device tier works in parallel with...
With the proliferation of sensor-embedded mobile computing devices, mobile sensing is becoming a popular paradigm to collect information from participating mobile users. Unlike the well-calibrated and well-tested sensor networks, mobile sensing relies on participants with unknown reliability. Data collected from mobile users may be untrustworthy. There are various solutions proposed in the literature...
In times of natural or man-made disasters, missions such as safe evacuation of people from the disaster areas have critical importance. Considering large areas with limited vehicle use such as theme parks and state fairs, search and rescue of the pedestrians is a major challenge. Moreover, as an effect of disaster, damages to infrastructure may disrupt the use of Internet services. Therefore, alternative...
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