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.
In this research, a real-time positioning method, which utilises crowdsourced positioning data obtained from smartphone GPS is developed. Such vehicle location information obtained from crowdsourcing and smartphones in public transport could replace traditional automatic vehicle location systems. However, the location information from smartphone GPS is more erroneous. The proposed methodology serves...
Transportation mode inference is an important research direction and has many applications. Existing methods are usually based on fine-grained sampling - collecting position data from mobile devices at high frequency. These methods can achieve high accuracy, but also incur cost and complexity in terms of the computational resource and system implementation. Finally, fine-grained sampling is not always...
This paper proposes a novel, nicknamed the "Pinpoint", method for an efficient and robust traffic estimation system using mobile phones as traffic probes. In this approach, the real-time traffic data is collected and sent to the server at the right time by the right players. Only the utilized data is reported to the server by the travelling vehicles. The mobile phones from walkers are prevented...
Features of traffic flow, such as travel time, traffic volume, road choice, etc., are always important information for traffic planning and management. Conventional methods of collecting traffic flow features include loop detectors, closed-circuit televisions, field investigation, etc. They record vehicles' mobility in an indirect and infrastructure-based manner, and have difficulties in producing...
Transport congestion within cities represents an omnipresent yet increasingly serious problem. Traditionally the main method of control available to combat it has been the efficient control of traffic lights. The recent rise of intelligent mobile devices carried by road users offers an additional point of control, potentially enabling the manipulation of the routes that people take within the city...
This paper explores the suitability and effectiveness of employing cell phones for real-time data collection and tracking on-board automobiles. We present a novel application that runs in a commercially available GPS-enabled cell phone to continuously log a vehicle's driving and engine performance and geocode the collected data at regular intervals. Data are reported to a central server in real-time,...
In order to resolve the vehicles safe protection and monitoring tracing question, proposed GPS vehicle mobile information system's overall framework and corresponding function. This article analyzed information monitoring terminal's system components and detailed design. Combined monitoring system's communication transfer protocol, expounded vehicle navigation control system's components and key technologies...
Many countries in the developing world are currently affected by crises and security threats, including growing rates of regional instability, the proliferation of illegal drugs and weapons, cross border migration and increases to organized crime. It follows that public safety organizations in developing countries are faced with increasingly volatile environments-sometimes in absence of resources...
We present a method for accurate aggregation of highway traffic information in vehicular ad hoc networks (VANETs). Highway congestion notification applications need to disseminate information about traffic conditions to distant vehicles. In dense traffic, aggregation is needed to allow a single frame to carry information about a large number of vehicles. Our technique, CASCADE, uses compression to...
The goal of our research is to develop a smart context-aware guide system that provides a smart and personalized guide services based on implicit awareness of context. As a context-aware guide application, we have been developing a location-aware smart bus guide system for Seoul. It will guide users to the nearby bus stops and provides users with information about the bus lines at the bus stops.
We present a mobile sensor system for traffic monitoring (GSSTM), which is a typically Grid application in ShanghaiGrid to provide accurate realtime traffic status information. Several issues and challenges in GSSTM are discussed, such as Grid architecture design, data processing for traffic status estimation, storage strategy of massive data, etc. We implemented a prototype system of GSSTM and carried...
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.