Titlebook: Data and Mobility; Transforming Informa Julia Düh,Hartwig Hufnagl,Hans Schönegger Conference proceedings 2010 Springer Berlin Heidelberg 20

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Senescent

Bother

Re-thinking Urban Mobility Services and Operations,e current urban mobility solutions. This knowledge is then used in a design process to create a sustainable example of an urban mobility service concept with the focus on both inter-modal and inter-service convergence, which we consider to be particularly attuned to the preferences and handling modes of the target users: a ”Mobility stock market”.

流动才波动

Legion

incubus

Using Vehicles as Mobile Weather Platforms, for addressing this issue is to utilize a Vehicle Data Translator (VDT) to pre-process weather-related vehicle data before it is distributed to data subscribers. This paper will describe the VDT and how vehicle data sets are processed by the prototype VDT to generate derived weather and road condition information.

crescendo

1867-5662 nference held at Klagenfurt, Austria October 6-8, 2010.WrittOver the last few years, the local value of mobility and information in our society has grown tremendously. As the importance of Information and Communication Te- nologies (ICT) increases, we expect more changes in future mobility behavior.

municipality

Lecture Notes in Computer Scienced regulate traffic demand. Such systems offer an ideal source of data and allow the use of ETC infrastructure like overhead gantries for further traffic telematics solutions. Therefore ETC systems will increasingly become the . for the telematics strategies of road operators in the future.

FIS

A Multimedia-Centric Quality Assurance System for Traffic Messages,tically linked to the video streams of corresponding surveillance cameras in order to support traffic editors in improving the quality of published traffic messages. Video streams can be recorded for certain types of traffic situations and can also be provided as live streams during the verification

单挑

Autonomous Multi-sensor Vehicle Classification for Traffic Monitoring,ay an important role in improving the throughput and safety of our roads. Current monitoring systems capture traffic data from a large sensory network. However, they require continuous human supervision or a significant amount of hand-labeled data for training and both are extremely expensive..As pa