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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...
The trends are reviewed in the development of unmanned transport systems. There is highlighted an increasingly important part of various range vision/location systems. There is described an architecture of the on-board computer network supplying information to the control systems of the mobile vehicles with the enhanced level of independence and totally unmanned. The proposed architecture provides...
An Android application (app), called Real Time Range Tracker, was developed as part of a Naval Innovation Science and Engineering program and provides near real-time “line of sight” range between mobile smart devices. In order to properly design tests and analyze test results, the accuracy of the data generated by the app must be fully understood along with any associated measurement uncertainties...
Road traffic congestion is a major issue in most mega cities. The traffic jams are often exacerbated by drivers habitually following the same routes. A real-time, optimum vehicle routing system that takes traffic density into account can be a possible solution to this problem. This paper presents RouteFinder, a system of providing real-time traffic density mapping on the driver's smartphone using...
Mobile crowdsourcing concept has attracted attentions of researchers, developers and businesses in the last decade. This exact concept has also been used in the area of Intelligent Transportation System (ITS) mainly for collecting and distributing information about the current traffic condition. In this paper, we extend the mobile crowdsourcing concept to be used for an intelligent car park system...
Video is the most recommended media for information dissemination in VANETs (Vehicular Adhoc Networks) as it gives clear and quick understanding of information to the drivers. The real time and on-demand video helps vehicles on road in various possible ways. An improper provider not only leads to frequent interruptions of communications, but the transmission of the invalid video fragments would also...
In vehicular ad hoc networks (VANETs) the network services and applications (e.g., safety messages, vehicle navigation data) require an exchange of vehicle and event location information. VANET is an important research field of wireless sensor networks providing different applications such as real time traffic information for on road vehicles and related authorities. The integrated model of VANET...
This paper addresses an optimal formation control of multiple two-wheeled mobile vehicles with the help of model predictive control. An optimal formation is automatically determined among pre-defined formations in real time according to the environment with the help of model predictive control. Experimental results are demonstrated to verify the effectiveness of the proposed approach.
In this paper we intend to use vehicular ad hoc network to together and assemble real-time speed and position information on single vehicles to optimize signal control at traffic by road. First specify systematically the vehicular traffic signal control difficulty as a job scheduling difficulty on processors with job equivalent to platoons of vehicles. Then jobs are planned using an online algorithm...
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...
Use of public transportation is on a rise, enabling greener cities and improvement of the quality of life of the city residents. The challenge for the public transportation system is that its demands are non linear and the passengers' experience depends on many human factors. UnCrowdTPG is a mobile service and a research platform that has been developed for understanding the mobility patterns of the...
In the last years there has been a significant interest from academia and industry for interfacing vehicles with mobile devices to offer services to drivers. Kinematics information, automotive diagnostics, consumption data can be provided by vehicles to make the roads greener, safer and smarter. In this paper, we define and design an embedded solution to support drivers in driving process. It can...
With the rise of sensor technology, ubiquitous mobile devices generate high-rate spatio-temporal data streams and send to backend servers in real time. While the mobile data streams are critical sources of mobility analytics supporting advanced mobile services, they also raise new challenges of scalable data processing for trajectory-featured data streams. In this paper, we develop a scalable framework...
In this progressive world traffic congestion is a critical issue. It results in huge amount of time and resources loss. Vehicles in congestion is a valuable parameter for drivers to anticipate the state of congestion. The proposed approach is based on relating the relationship of different transmission ranges with vehicle density. This research work uses a GrooveNet simulator, which is based on real...
With social, mobile, analytics and cloud technologies (SMAC stack) the driving assistance system can be improved by monitoring both vehicle parameters and driving pattern. Vehicle condition due to parts condition also influences the danger-level during driving. The proposed system recognizes the danger-level alerts during driving by considering both driving pattern and vehicle condition. The system...
To solve the problem of the vehicle monitoring in the field of intelligent transportation, this paper introduced a scheme about the design of vehicle context-aware systems based on Ubiquitous Network, and described the development process of mobile phone client. In the paper, the Android intelligent mobile phone was used as the client which was developed a multi-function terminal. The intelligent...
As near field communication technologies develop rapidly and the supply ratio of smart phones gets higher, the scope to utilize NFC(Near Field Communication) is gradually increasing. It tries to propose the service to inform you parking location and traffic line with the mobile parking management system which combines these NFC technologies with IPS(Indoor Positioning System) for parking congestion...
Many carpool and ride-sharing solutions have been proposed and even developed in the previous decades, but rarely have they been able to attain a global user base, at least not up until recently. That was mostly because many of them were not initially designed as scalable, leaving their users with a sub-par user experiences as their user base grew, and often their mobile or desktop client reach was...
The ubiquitous nature of present wireless networks makes the real-time and accurate location-tracking of mobile assets a realizable possibility. However, the existing solutions with their high infrastructure and operational costs, and technical implementation difficulties are not attractive for practical event-activated asset tracking, control, and diagnostics. In this paper, we provide complete system...
In this paper, we present a traffic information service platform to alleviate difficulties of current urban traffic systems. For problems including difficulty of parking, traffic congestion and passengers missing taxies may be caused by lacking of real time information; the platform can provide useful information based on devices such as vehicle passing sensors, mobile communication modems and smart...
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