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Abstract

Due to the heavy traffic, people living in urban areas have to get used to congested roads, increased traveling time, and stressful situations. There is a strong demand on acquiring real-time flow data on actual traffic and road conditions. Our paper presents a method on acquiring several traffic data from different data sources, such as induction loop sensor data (vehicle volume, average flow speed, road occupancy), traffic monitoring video camera images, position data of the public transport vehicles and cabs, digital database of road construction areas. A technique to combine and analyze them in sophisticated GIS (Geographic Information System) environment is also presented in the paper. Our method involves state-of-the-art multimedia communication applications, including Internet and cell-phone based JAVA Mobile Edition systems. The actual flow information are represented in easy-to-understand color-coding on the maps.

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Article
Unterschiedlich dargestellte Verkehrsinformationen können deren Attraktivität vielfach steigern. Unter Berücksichtigung dieses Aspektes führen wir diese Arbeit durch, um herauszufinden, ob es eine relevante Beziehung zwischen spezifischer Präsentationsweise und dem Fahrverhalten gibt. Zu Beginn dieser Studie wird die Annahme getestet, ob ein verwendetes Versuchs-Fahrzeug eine zuverlässige und ausreichende Menge an Daten liefert, wie z.B. das Vermitteln von Informationen über die Reisezeit durch verschiedene Darstellungsarten. Darüber hinaus wird ein Nutzer-Test zu den Präferenzen der Fahrer gegenüber verschiedenen Darstellungsarten von Verkehrsinformationen untersucht. In unserer Studie ist es deutlich zu sehen, dass die Präsentationsarten im Falle einer Bordinformation keine wichtige Rolle für das Fahrer-Verhalten spielen. Im Falle einer stationären Information fanden wir immer noch keinen Beweis dafür, dass der Präsentationsstil von Verkehrsinformation eine bedeutende Rolle für das Fahrer-Verhalten hat.
A VideoGIS system aims at combining geo-referenced video information with traditional geographic information in order to provide a more comprehensive understanding over a spatial location. Video data have been used with geographic information in some projects to facilitate a better understanding of the spatial objects of interest. This paper presents an on-going VideoGIS project, in which scalable geo-referenced video and geographic information (GI) are transmitted to GPS-guided vehicles. The hypermedia, which contains cross-referenced video and GI, are organized in a scalable (layered) fashion. The remote users can request, through 3G mobile devices, the abundant information related to the objects of interest, while adapting to heterogeneous network condition and local CPU usage. Available bandwidth estimation technique is used in the adaptive video transmission.
Conference Paper
ITS must collect all kinds of data from sensors embedded within transportation facilities, from vehicles equipped with GPS, from RS, etc. how to visualize ITS data at real time is the problem we should solve. First, we established spatio-temporal data model of traffic objects. Then, we discussed the visualization of dynamic sequences of point, line and polygon traffic objects in ITS. At last, we gave an example of the architecture of real-time monitor of ITS and real-time visualization of traffic flow.
Feasibility of Intelligent Traffic Flow Control on the Hungarian Road Network
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