The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Crowd-sensing promises cheap and easy large scale data collection by tapping into the sensing and processing capabilities of smart phone users. However, the vast amount of fine-grained location data collected raises serious privacy concerns among potential contributors. In this paper, we argue that crowd-sensing has unique requirements w.r.t. privacy and data utility which renders existing protection...
World wide road traffic fatality and accident rates are high, and this is true even in technologically advanced countries like the USA. Despite the advances in Intelligent Transportation Systems, safe transportation routing i.e., finding safest routes is largely an overlooked paradigm. In recent years, large amount of traffic data has been produced by people, Internet of Vehicles and Internet of Things...
Bus transports in the cities of many developing countries are marred with severe problems, like information unavailability, bad road and bus conditions, lack of proper scheduling and timing, and so on. An information service can become extremely handy for the travelers in countries with emerging economy, where public traffic systems are generally riddled with uncertainty. We have developed CrowdMap...
The more highly automated road vehicles become, the more complex get their control systems along with the taskto identify and reach the safest possible state at an acceptablyhigh probability in as many operational situations as possible. In this paper, we outline a modeling formalism for hazard-mitigating controllers capable of run-time hazard identificationand mitigation. This formalism equips the...
This paper presents the hardware and software structures of a proposed data acquisition and processing system, which is designated to perform an automated inspection of roads pavement condition. The system was designed to gather information from multiple sources - laser-based imaging systems for road profiling, cameras for environmental images, proximity sensors, all information being spatially correlated...
The Internet of Things (IoT) envisions to connect billions of sensors to the Internet, in order to provide new applications and services for smart cities. IoT will allow the evolution of the Internet of Vehicles (IoV) from existing Vehicular Ad hoc Networks (VANETs), in which the delivery of various services will be offered to drivers by integrating vehicles, sensors, and mobile devices into a global...
The ability of a smartphone to provide motion sensing information enables a low-cost, portable tool to analyze and understand vehicle driving events. Fuel economy, Driving Safety, and better estimation of driving cost can be analyzed based not only on distance and time of travel but also on the nature of driving. This work studies sensors data collected during a field drive test and proposes a new...
In Brazil, highway transportation is responsible for 58% of cargo transport. A relevant problem associated to cargo transport are the accidents. Incompatible speed and fatigue were pointed out as main causes of accidents. The adoption of an advanced driver assistance system (ADAS) for anticipating warning of overspeed for a curve may reduce rollover risks. In other words, it would mitigate the problem...
In the past decade, urban traffic has increased tremendously. As a result, the urban population has to invest more time in traveling. Increased road traffic results in an increased number of road accidents and more consumption of fuel, thus wasting energy. Hence for solving this issue, this paper proposes a traffic signal synchronization system which takes real time traffic signal data as input and...
Average travel speed for road sections is important information for traffic condition evaluation, transportation management, and so on. Vehicular crowdsensing can be used to collect data including real-time locations and velocities of vehicles, which can be further utilized to estimate travel speed. However, due to the uneven spatial-temporal distribution of vehicles and the variation of data-offering...
Mobility-on-Demand (MoD) services can be enhanced through use of Autonomous Vehicles (AVs) to reduce manpower costs (among other benefits), and use of multiple classes of vehicles to expand service coverage and accessibility. This work presents a functional proof of concept MoD system accessible via mobile phone to utilize three classes of vehicles in combination: a road car, buggy, and mobility scooter...
Due to increasing urban population and growing number of motor vehicles, traffic congestion is becoming a major problem of the 21st century. One of the main reasons behind traffic congestion is accidents which can not only result in casualties and losses for the participants, but also in wasted and lost time for the others that are stuck behind the wheels. Early detection of an accident can save lives,...
Route guidance and navigation services have been widely attracting researchers and application developers due to the serious problems of traffic congestion and the ceaseless need to improve the driving experience. Motivated by such driving concerns, this paper proposes a real-time, dynamic route guidance system with the main focus on the driver safety and satisfaction. As a unique feature compared...
The inter-departmental interactions and coordination of resources are two essential components for realising a smart city platform. In this study, we investigated citizens' role in enhancing and facilitating the delivery of services by merging three key aspects of the smart city research field, namely Internet of People, Internet of Things and Web of Data. To this end, we developed a hybrid approach...
Since GPS signal is not applicable indoors, vehicle tracking has proven a hassle in underground parking structures. Recent solutions highly rely on floor map to constraint inertial sensors noises. In this paper, we propose VeMap, a road map construction system using only smartphones inside vehicles. It saves effort-intensive and time-consuming business negotiations with building operators, and expensive...
Fuel used by heavy duty trucks is a major cost for logistics companies, and therefore improvements in this area are highly desired. Many of the factors that influence fuel consumption, such as the road type, vehicle configuration or external environment, are difficult to influence. One of the most under-explored ways to lower the costs is training and incentivizing drivers. However, today it is difficult...
Autonomous driving is a rapidly evolving technology. Autonomous vehicles are capable of sensing their environment and navigating without human input through sensory information such as radar, Lidar, GNSS, vehicle odometry, and computer vision. This sensory input provides a rich dataset that can be used in combination with machine learning models to tackle multiple problems in supervised settings....
The inspiration of computer design comes from the human. Learning from human cognitive mechanism, laid the foundation for the development of unmanned driving field in our country. Based on the information processing model of Cognitive Psychology, there are three stages of the manned driving behaviors "stimulus perception, judgment and decision making and stimulus performance", to establish...
This paper considers the vehicle positioning problem of an automobile on-board navigation system which is mainly supported by Global Positioning System (GPS). To complement GPS, the existing navigation techniques incorporate additional vehicle sensors, together with the map data to match the positioning solution with the road map. We propose an advanced map-matching algorithm that integrates the additional...
Driving analysis is a recent topic of interest due to the growing safety concerns in vehicles. However, the lack of publicly available driving data currently limits the progress on this field. Machine learning techniques could highly enhance research, but they rely on large amounts of data which are difficult and very costly to obtain through Naturalistic Driving Studies (NDSs), resulting in limited...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.