Abstract
Travel time and speed measures on road networks provide key information to identify critical spots of congestion and evaluate the scale of this phenomenon across an urban area. Many technologies are currently available to measure travel time and speed, but each has its limitations. As part of a wider project aiming to develop travel time reliability indicators, this paper presents a comparison and validation of data collected through four different non-intrusive techniques: floating cars, GPS traces, Bluetooth detections and video processing. First, some background information regarding the project and the modeling of travel times and speed on highway networks is provided. Then, a comparison between the various sources of data is presented. Finally, the characteristics of the various data sources are discussed based on the relevance and the availability of the sources.
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Published on 01/01/2011
Volume 2011, 2011
DOI: 10.1061/41167(398)113
Licence: CC BY-NC-SA license
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